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• HD video editing system with Truecrypt

  - by Rob

  I'm looking to do hi-def video editing and transcoding on an unencrypted standard partition, with Truecrypt on the system partition for sensitive data. I'm aiming to keep certain data private but still have performance where needed. Goals: Maximum, unimpacted, performance possible for hi-def video editing, encryption of video not required Encrypt system partition, using Truecrypt, for web/email privacy, etc. in the event of loss In other words I want to selectively encrypt the hard drive - i.e. make the system partition encrypted but not impact the original maximum performance that would be available to me for hi-def/HD video editing. The thinking is to use an unencrypted partition for the video and set up video applications to point at that. Assuming that they would use that partition only for their workspace and not the encrypted system partition, then I should expect to not get any performance hit. Would I be correct? I guess it might depend on the application, if that app is hard-wired to use the system partition always for temporary storage during editing and transcoding, or if it has to be installed on the C: system partition always. So some real data on how various apps behave in the respect would be useful, e.g. Adobe, Cyberlink, Nero etc. etc. I have a Intel i7 Quad-core (8 threads) 1.6Ghz (up to 2.8Ghz turbo-boost) 4Gb, 7200rpm SATA, nvidia HP laptop. I've read the excellent posting about the general performance impact of truecrypt but the benchmarks weren't specific enough for my needs where I'm dealing with HD-video and using a non-encrypted partition to maintain max performance.

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• Getting Dell E6320 with I7 to work with 3 monitors at 1920x1080p x 3

  - by MadBoy

  I want to buy Dell E6320 which comes with Intel Core I7-2620M (2.70GHz, 4MB cache, Dual Core) with Intel HD Graphics 3000. Laptop will come with docking station. I want to connect 3 monitors to that docking station so that working at home would give me some additional boost. Docking station will allow me to connect only 2 monitors so I'm looking at following other options: Matrox TRIPLEHEAD2GO DIGITAL Edition or TRIPLEHEAD2GO DP Edition. But reading Matrox Support Page intel GPU can't run the highest resolution with 3 monitors connected, it even gets worse since it seems monitors would have to be able to work at 50hz. Also I'm not sure but it seems that Matrox doesn't split the monitors as 3 separate monitors but simply as one big space (which is a bit opposite to what I need) Buy 2 or maybe just 1 USB based monitor but it would also mean having 1 or 2 different monitors then the main one, unless I buy 3 USB based monitors which would mean more money to spend. Also I found only couple of models and most of them require USB 3.0 and no other cables to plug in (nice but costly - couldn't find decent monitor with only USB for sending signal and having power connected normally) . But docking station has only one USB 3.0 port. Can I use hub and still get it to work? Find some converters from Digital to USB (I think DisplayLink does some?) Buy different laptop but what kind? I need it to be I7, small (13"), fast and lightweight. At same time it requires docking station that I can use at home to connect 3 external monitors. Some other suggested solution... Edit: I need 3 monitors for work in terms of coding in Visual Studio or having word/excel/outlook open. Nothing fancy. Maybe some movie once in a while.

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• Windows 7 Won't Boot

  - by Vie

  I recently built a new computer, my fifth one. ASUS Maximus III Formula LGA 1156 Intel P55 ATX Motherboard EVGA 01G-P3-1452-TR GeForce GTS 450 Superclocked 1GB 128-bit GDDR5 PCI Express 2.0 x16 HDCP Video Card COOLMAX RM-1000B 1000W ATX psu Intel Core i7-875K lynnfield 2.93GHz LGA 1156 95w Quad-Core unlocked processor G.SKILL Ripjaws Series 16 (4x4GB) 240-Pin DDR3 SDRAM DDR3 1333 (PC3 10666) memory WD VelociRaptor WD3000GLFS 300gb 10000 RPM SATA 3.0Gb/s Hard Drive Sony Optiarc CD/DVD Burner model AD-7261S-0B LightScribe Windows 7 Home Premium 64-bit It gets hung up on the starting windows screen. When I went to install the OS it did the same thing wouldn't go past the windows logo, so I put the new HDD into my old computer and installed windows 7 thinking it was just an installer error. Put the fully installed HDD back into my new machine and it still gets stuck on the starting windows screen. I've tried most everything I've looked up. Disabled USB, Disabled Turbo Boost, Disabled everything that wasn't essential(just about every configuration I can think of), took it apart and put it back together, took all the ram out save one 4g stick(wouldn't even boot when I did this), did a memory scan which came back successful, I don't know what could be wrong. Only thing I can think of is a compatibility issue somewhere, but I've ran over it again and again and I don't know where there would be an issue like that. Need Backup! .<

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• Distinct rand() sequences yielding the same results in an expression

  - by suszterpatt

  Ok, this is a really weird one. I have an MPI program, where each process has to generate random numbers in a fixed range (the range is read from file). What happens is that even though I seed each process with a different value, and the numbers generated by rand() are different in each process, the expression to generate the random numbers still yields the same sequence between them. Here's all relevant code: // 'rank' will be unique for each process int rank; MPI_Comm_rank(MPI_COMM_WORLD, &rank); // seed the RNG with a different value for each process srand(time(NULL) + rank); // print some random numbers to see if we get a unique sequence in each process // 'log' is a uniquely named file, each process has its own log << rand() << " " << rand() << " " << rand() << std::endl; // do boring deterministic stuff while (true) { // waitTimeMin and waitTimeMax are integers, Max is always greater than Min waitSecs = waitTimeMin + rand() % (waitTimeMax - waitTimeMin); log << "waiting " << waitSecs << " seconds" << std::endl; sleep(waitSecs); // do more boring deterministic stuff } Here's the output of each process, with 3 processes generating numbers in the range [1,9]. process 1: 15190 28284 3149 waiting 6 seconds waiting 8 seconds waiting 9 seconds waiting 4 seconds process 2: 286 6264 3153 waiting 6 seconds waiting 8 seconds waiting 9 seconds waiting 4 seconds process 3: 18151 17013 3156 waiting 6 seconds waiting 8 seconds waiting 9 seconds waiting 4 seconds So while rand() clearly generates different numbers, the expression to calculate waitSecs still evaluates to the same sequence on all processes. What's even weirder: if I run the program with the same parameteres again, only the first 3 random numbers will change, the rest of the "random" sequence will be exactly the same in each run! Changing the range of numbers will obviously produce a different result from this one, but the same parameters always yield the same sequence, between processes and between executions: except for the first 3 numbers. Just what the hell is going on here?

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• GlusterFS as elastic file storage?

  - by Christopher Vanderlinden

  Is there any way to run GlusterFS in a replicated mode, but with the ability to dynamically scale the volume up and down? Say you have 3 servers all running glusterd. your Gluster volume would have to be setup with replica 3 gluster volume create test-volume replica 3 192.168.0.150:/test-volume 192.168.0.151:/test-volume 192.168.0.152:/test-volume You would then mount it as say \mnt\gfs_test What happens when I want to add 2 more servers to the storage pool and then also use them in this volume? Is there any easy way to expand the volume AND increase that replica count to 5? My end goal is to run this on EC2 instances, say 3 Apache front ends, with the webroot setup on the gluster volume mount. My concern is that if I ever need to spin up a server, I would want the server to not only be an additional Apache front end, but also another server in the gluster file system, adding to fault tolerance as well as possibly giving a slight boost in read speed. Maybe there are better options that would fit the bill here? Thanks.

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• Server freezes while installing Redhat Enterprise Linux Server 6

  - by eisaacson

  We've tried both the first options Install or upgrade an existing system Install system with basic video driver When trying option #1, it gets to a screen that has a solid cursor about halfway down, then freezes. When trying option #2, it freezes at the point where it says: Waiting for hardware to initialize... Of course, we bought the unsupported version and haven't found anything to help us so far. Here are the specs to the server in the original post: ASUS P8Z68-M Pro LGA 1155 Intel Z68 HDMI SATA 6Gb/s USB 3.0 Micro ATX Intel Motherboard with UEFI BIOS RAIDMAX Reiter ATX-305WBP Black Steel / Plastic ATX Mid Tower Computer Case 450W Power Supply Intel Core i7-2600 Sandy Bridge 3.4GHz (3.8GHz Turbo Boost) LGA 1155 95W Quad-Core Desktop Processor Intel HD Graphics 2000 BX80623I72600 16GB Ram OCZ Agility 3 SSD 120GB From some of the posts out there could the UEFI Bios or the Sandy Bridge processor be a culprit here? We just tried the DVD on a different computer and it got past that point with ease. It's a standard Dell build compared to our custom machine. Could it be having difficulty recognizing drivers? How do we get past that?

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• Performance tweaks and upgrades for VMWare Server 2

  - by sjohnston

  Our software department has a server running VMWare Server 2. We typically have 8-10 VMs running as test environments (Win XP and Server 08) for various versions of our software, and one VM that is used as a build server (Win XP). The host is running Server 2003 R2. It has 32GB RAM, 8 core Xeon 3.16GHz CPU, one disk for host OS and two raid disks for VMs. The majority of the time, this setup behaves very well and there are no complaints. Other times, the VMs can be very laggy. This is sometimes, but not always, correlated to heavy load on the build server. I'm a software developer, not an IT pro, but it seems to me that this machine should be beefy enough to handle this many VMs. Is this occasional performance hit likely just because we're hitting the limits of the hardware, or should I be looking for another culprit? From what I've read, I'm guessing if there's a bottleneck, it's probably disk I/O with all these VMs running off two disks (especially the build server). Would spreading the VMs over more disks, and/or switching to SSDs give us a significant performance boost? Other things I've read may increase performance: single virtual processor per VM removing/disabling unused virtual hardware preallocated disk space not using snapshots setting a reserved memory limit on the host and disabling VM memory swapping Can anyone confirm or deny if any of these improve performance? What other good tweaks have I missed?

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• Move OS from RAID5 array to RAID 1 arrays

  - by Antoine

  I want to give a last boost to my old ProLiant ML350 G5 server which just needs to be reliable for a few more year only ! With a defined budget of about 1500$ (I do not have more), i plan to replace the CPU (+ adding a second one), the battery cache of my raid controller (E200i), double the RAM, and change all hard drives. I have 7 HDD (SAS 10krpm, 72Gb) + 1 spare in RAID5, and my system is all FULL (no empty tray, full disks). in my current RAID5 array, I have 2 partitions: - 1 OS partition, 20Gb - 1 data partition, 350 Gb I plan to replace these 8 disks with : - 2 x 300Gb SAS 15krpm in RAID 1 (= 1 partition for OS) - 2 x 2Tb SATA 7.2krpm in RAID 1 (= 1 partition for DATA) My biggest constraint is that I have only 01 day to upgrade my server. Therefore, I'm looking for cloning all my files (OS + data partition) to my new arrays, i.e : - the OS partition shall be cloned to the RAID1 "2x300Gb array" - the data partition shall be cloned to the RAID1 "2x2Tb array" My second problem is that I need to physically remove all the old hard drives before inserting the new ones. I'm running Windows Server 2003 R2, and even if MS support will expire soon, I cannot buy a new licence and spent time in configuration. Obviously, with 1500$, I cannot also buy a new server that I could start configuring from now ! Thought about ASR (NTBackup), but I have no floppy drive (and do not really want to invest in one !) Thought about a clonezilla clone, and read this interesting link : Windows Server 2003 - move C: partition to a new SAS disk , but i'm not so confident in using Clonezilla with RAID5. What should be the best option to quickly and easily (if possible!) "copy/paste" my OS (so no need to reinstall and reconfigure all) and DATA / programs / services, etc... ? Thanks for your comments

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• Subdomain is preventing my search results from rising as expected in page rank

  - by culov

  My problem is that I have a site which has requires a dedicated page for every city I choose to support. Early on, I decided to use subdomains rather than a directly after my domain (ie i used la.truxmap.com rather than truxmap.com/la). I realize now that this was a major mistake because Google seems to treat la.truxmap.com as a completely different site as ny.truxmap.com. So for instance, if i search "la food truck map" my site will be near the top, however, if i search "nyc food truck map" im no where in sight because ny.truxmap.com wouldnt be very high in the page rank by itself, and it doesnt have the boost that it ought to be getting from the better known la.truxmap.com So a mistake I made a year ago is now haunting my page rank. I'd like to know what the most painless way of resolving my dilemma might be. I have received so much press at la.truxmap.com that I can't just kill the site, but could I re-direct all requests at la.truxmap.com to truxmap.com/la and do the same for all cities supported without trashing my current, satisfactory page rank results I'm getting from la.truxmap.com ?? EDIT I left out some critical information. I am using Google Apps to manage my domain (that is, to add the subdomains) and Google App Engine to host my site. Thus, Google Apps provides a simple mechanism to mask truxmap.appspot.com (the app engine domain) as la.truxmap.com, but I don't see how I can mask it as truxmap.com/la. If I can get this done, then I can just 301 redirect la.truxmap.com to truxmap.com/la as suggested below. Thanks so much!

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• [C++] A minimalistic smart array (container) class template

  - by legends2k

  I've written a (array) container class template (lets call it smart array) for using it in the BREW platform (which doesn't allow many C++ constructs like STD library, exceptions, etc. It has a very minimal C++ runtime support); while writing this my friend said that something like this already exists in Boost called MultiArray, I tried it but the ARM compiler (RVCT) cries with 100s of errors. I've not seen Boost.MultiArray's source, I've just started learning template only lately; template meta programming interests me a lot, although am not sure if this is strictly one, which can be categorised thus. So I want all my fellow C++ aficionados to review it ~ point out flaws, potential bugs, suggestions, optimisations, etc.; somthing like "you've not written your own Big Three which might lead to...". Possibly any criticism that'll help me improve this class and thereby my C++ skills. smart_array.h #include <vector> using std::vector; template <typename T, size_t N> class smart_array { vector < smart_array<T, N - 1> > vec; public: explicit smart_array(vector <size_t> &dimensions) { assert(N == dimensions.size()); vector <size_t>::iterator it = ++dimensions.begin(); vector <size_t> dimensions_remaining(it, dimensions.end()); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimensions[0], temp_smart_array); } explicit smart_array(size_t dimension_1 = 1, ...) { static_assert(N > 0, "Error: smart_array expects 1 or more dimension(s)"); assert(dimension_1 > 1); va_list dim_list; vector <size_t> dimensions_remaining(N - 1); va_start(dim_list, dimension_1); for(size_t i = 0; i < N - 1; ++i) { size_t dimension_n = va_arg(dim_list, size_t); assert(dimension_n > 0); dimensions_remaining[i] = dimension_n; } va_end(dim_list); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimension_1, temp_smart_array); } smart_array<T, N - 1>& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() const { return vec.size(); } }; template<typename T> class smart_array<T, 1> { vector <T> vec; public: explicit smart_array(vector <size_t> &dimension) : vec(dimension[0]) { assert(dimension[0] > 0); } explicit smart_array(size_t dimension_1 = 1) : vec(dimension_1) { assert(dimension_1 > 0); } T& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() { return vec.size(); } }; Sample Usage: #include <iostream> using std::cout; using std::endl; int main() { // testing 1 dimension smart_array <int, 1> x(3); x[0] = 0, x[1] = 1, x[2] = 2; cout << "x.length(): " << x.length() << endl; // testing 2 dimensions smart_array <float, 2> y(2, 3); y[0][0] = y[0][1] = y[0][2] = 0; y[1][0] = y[1][1] = y[1][2] = 1; cout << "y.length(): " << y.length() << endl; cout << "y[0].length(): " << y[0].length() << endl; // testing 3 dimensions smart_array <char, 3> z(2, 4, 5); cout << "z.length(): " << z.length() << endl; cout << "z[0].length(): " << z[0].length() << endl; cout << "z[0][0].length(): " << z[0][0].length() << endl; z[0][0][4] = 'c'; cout << z[0][0][4] << endl; // testing 4 dimensions smart_array <bool, 4> r(2, 3, 4, 5); cout << "z.length(): " << r.length() << endl; cout << "z[0].length(): " << r[0].length() << endl; cout << "z[0][0].length(): " << r[0][0].length() << endl; cout << "z[0][0][0].length(): " << r[0][0][0].length() << endl; // testing copy constructor smart_array <float, 2> copy_y(y); cout << "copy_y.length(): " << copy_y.length() << endl; cout << "copy_x[0].length(): " << copy_y[0].length() << endl; cout << copy_y[0][0] << "\t" << copy_y[1][0] << "\t" << copy_y[0][1] << "\t" << copy_y[1][1] << "\t" << copy_y[0][2] << "\t" << copy_y[1][2] << endl; return 0; }

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• Upgrade to Q9550 or i7 920 on a budget?

  - by evan

  I'm planning to upgrade my computer and torn between maxing out the system I have or investing in the X58 architecture. I'm currently using a E6600 Core 2 Duo with 4GB of RAM (800mhz) on an Asus PK5-E motherboard which I built two years ago. My original plan was that one day I'd upgrade machine to 8GB (1066mhz, the max the PK5-E allows) and to the Core 2 QuadQ9550 to give the machine a good four years of life. However, that was before the i7 came out. I use my computer mainly for software development , which I do inside Virtual Machines, and the i7 seems ideal for that because it no longer is limited by the speed of the FSB? And when I looked into it, getting 8GB DDR3 RAM isn't much more expensive than the 8GB of DDR2 and the i7 920 is comparable in price to the Q9550, which doesn't make much sense to me? So the question is it worth swapping the motherboard out for around $250 and upgrading all three components or using that money on SSD or 10rpm drive for the existing system's OS/Apps/Virtual Machine drive? Or just put the $250 towards a completely new machine in a year or two? Would the i7 really give that much of boost compared to the Q9550 for what I'd be using it for? Thanks in advance for your input!!!

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• Ubuntu inside VirtualBox is slow

  - by Kapsh

  I am running an Ubuntu instance on VirtualBox inside XP. Here are the details: Host: Windows XP Pro Guest: Ubuntu 8.10 Total RAM: 3GB RAM For VM: 1GB Total Video Memory: 128MB Video Memory for VM: 40MB Hard Drive: 200GB Hard Drive for VM: 30GB Processor: 2.80GHz Core Duo The problem is that whenever I am inside the virtual machine, things seem so much slower in general. For example Firefox, Eclipse take longer to load, dragging windows show a lag etc. I have tried running Ubuntu before (not inside a VM) and it seemed fantastically fast. So I am disappointed to have to deal with this situation. But I need access to the XP partition without having to reboot and hence the attempt. I am surprised with the perceived slowness since the whole world seems to be doing virtualization and I cannot imagine everyone works on slow systems knowingly. My question is - is there something I should be doing to boost performance? Am I doing something wrong? This is my home machine and I am not sure if this is the right forum to ask. Thanks.

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• Network switches for LAN party

  - by guywhoneedsahand

  I am working on setting up the network for a small LAN party (less than 16 people). Most of them do not have wireless cards in their rigs, so I need to set up some way for everyone to a) play LAN games and b) access the internet. The LAN party will probably take place in my basement, where I have enough space. However, the basement is not wired up with the router which is actually on the floor above. I make a cantenna a while back that can boost the wireless performance of my computer significantly. How can I use this to provide internet and LAN to guests? My hope was that I could use a switch like this http://www.newegg.com/Product/Product.aspx?Item=N82E16833181166 for the LAN - but how can I give people access to the internet? Is there such thing as a network extender / 16-port switch? Obviously, the internet performance doesn't need to be super stellar, because the games will be using LAN - so I am looking to provide some usable internet for web browsing, and very high speed LAN for games. Thanks!

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• A minimalistic smart array (container) class template

  - by legends2k

  I've written a (array) container class template (lets call it smart array) for using it in the BREW platform (which doesn't allow many C++ constructs like STD library, exceptions, etc. It has a very minimal C++ runtime support); while writing this my friend said that something like this already exists in Boost called MultiArray, I tried it but the ARM compiler (RVCT) cries with 100s of errors. I've not seen Boost.MultiArray's source, I've started learning templates only lately; template meta programming interests me a lot, although am not sure if this is strictly one that can be categorized thus. So I want all my fellow C++ aficionados to review it ~ point out flaws, potential bugs, suggestions, optimizations, etc.; something like "you've not written your own Big Three which might lead to...". Possibly any criticism that will help me improve this class and thereby my C++ skills. Edit: I've used std::vector since it's easily understood, later it will be replaced by a custom written vector class template made to work in the BREW platform. Also C++0x related syntax like static_assert will also be removed in the final code. smart_array.h #include <vector> #include <cassert> #include <cstdarg> using std::vector; template <typename T, size_t N> class smart_array { vector < smart_array<T, N - 1> > vec; public: explicit smart_array(vector <size_t> &dimensions) { assert(N == dimensions.size()); vector <size_t>::iterator it = ++dimensions.begin(); vector <size_t> dimensions_remaining(it, dimensions.end()); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimensions[0], temp_smart_array); } explicit smart_array(size_t dimension_1 = 1, ...) { static_assert(N > 0, "Error: smart_array expects 1 or more dimension(s)"); assert(dimension_1 > 1); va_list dim_list; vector <size_t> dimensions_remaining(N - 1); va_start(dim_list, dimension_1); for(size_t i = 0; i < N - 1; ++i) { size_t dimension_n = va_arg(dim_list, size_t); assert(dimension_n > 0); dimensions_remaining[i] = dimension_n; } va_end(dim_list); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimension_1, temp_smart_array); } smart_array<T, N - 1>& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() const { return vec.size(); } }; template<typename T> class smart_array<T, 1> { vector <T> vec; public: explicit smart_array(vector <size_t> &dimension) : vec(dimension[0]) { assert(dimension[0] > 0); } explicit smart_array(size_t dimension_1 = 1) : vec(dimension_1) { assert(dimension_1 > 0); } T& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() { return vec.size(); } }; Sample Usage: #include "smart_array.h" #include <iostream> using std::cout; using std::endl; int main() { // testing 1 dimension smart_array <int, 1> x(3); x[0] = 0, x[1] = 1, x[2] = 2; cout << "x.length(): " << x.length() << endl; // testing 2 dimensions smart_array <float, 2> y(2, 3); y[0][0] = y[0][1] = y[0][2] = 0; y[1][0] = y[1][1] = y[1][2] = 1; cout << "y.length(): " << y.length() << endl; cout << "y[0].length(): " << y[0].length() << endl; // testing 3 dimensions smart_array <char, 3> z(2, 4, 5); cout << "z.length(): " << z.length() << endl; cout << "z[0].length(): " << z[0].length() << endl; cout << "z[0][0].length(): " << z[0][0].length() << endl; z[0][0][4] = 'c'; cout << z[0][0][4] << endl; // testing 4 dimensions smart_array <bool, 4> r(2, 3, 4, 5); cout << "z.length(): " << r.length() << endl; cout << "z[0].length(): " << r[0].length() << endl; cout << "z[0][0].length(): " << r[0][0].length() << endl; cout << "z[0][0][0].length(): " << r[0][0][0].length() << endl; // testing copy constructor smart_array <float, 2> copy_y(y); cout << "copy_y.length(): " << copy_y.length() << endl; cout << "copy_x[0].length(): " << copy_y[0].length() << endl; cout << copy_y[0][0] << "\t" << copy_y[1][0] << "\t" << copy_y[0][1] << "\t" << copy_y[1][1] << "\t" << copy_y[0][2] << "\t" << copy_y[1][2] << endl; return 0; }

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• Are these hardwares compatible?

  - by Tom Kaufmann

  I am trying to upgrade my new machine but I want to do it myself. This is my 1st attempt at building system. After carefully reading reviewing feedback and my budget I have decided to select the below listed components. Can anybody let me know are they compatible or not? Transcend 64 GB 2.5" SATA Solid State Drive Asus GeForce GTX550 1GB DDR5 ENGTX550 TI DI/1GD5 Graphics Card Seagate Barracuda 1 TB HDD Internal Hard Drive Cooler Master eXtreme Power Pro 600 Power Supply Intel Core i5 2500K Sandy Bridge 3.30 GHz 95 W 4 Core Desktop Processor Intel DX79TO Motherboard Corsair CMZ8GX3M2A1600C9 8 GB DDR3 SDRAM 1600 MHz Dual Channel Kit Desktop Memory Sony AD-7260S-ZS Internal DVD Writer - Black Cooler Master Hyper TX3 EVO Intel CPU Cooler Cooler Master Elite 335U Cabinet LG E2051T 20.1 Inch SuperSlim Monitor Is any of these hardware components incompatible with I5 2500K? If you have any other suggestions for selecting any other harwdware that can boost up my performance or lower my cost while having the same performance, please suggest. But my primary questions is whether they are compatible or not! Any help is appreciated. Thank you.

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• How can I change the default program installation directory in Windows 7?

  - by Max

  Windows 7 is installed on my C drive, which is quite small. I am very tired of instructing new programs to put their files on my larger D drive during installation; I would like to change the default drive. This article says that you can use a registry hack, but I am giving Microsoft the benefit of the doubt and naively assuming that a configuration option exists somewhere. It's 2010... do I really have to hack my registry to make a simple tweak like this? Also, there's a ServerFault question that explains how to move the "Users" directory and create a symlink, which could also work. However, at the moment I have some apps in C:\Program Files, some apps in C:\Program Files (x86), and some apps in the corresponding folders on D:\, so it would be a hassle. Also, my small OS boot drive is a 10k RPM WD Raptor, and I feel like that probably gives a speed boost to apps installed on it that need to read & write to their directories a bunch. I wonder if it actually matters.

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• Build-Essentials installation failing

  - by Brickman

  I am having trouble accessing the several critical header files that show to be a part of the build process. The "Ubuntu Software Center" shows "Build Essentials" as installed: Next I did the following two commands, which did not improve the problem: ~$ sudo apt-get install build-essential [sudo] password for: Reading package lists... Done Building dependency tree Reading state information... Done build-essential is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. :~$ sudo apt-get install -f Reading package lists... Done Building dependency tree Reading state information... Done 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. :~$ Dump of headers after installation attempts. > /usr/include/boost/interprocess/detail/atomic.hpp > /usr/include/boost/interprocess/smart_ptr/detail/sp_counted_base_atomic.hpp > /usr/include/qt4/Qt/qatomic.h /usr/include/qt4/Qt/qbasicatomic.h > /usr/include/qt4/QtCore/qatomic.h > /usr/include/qt4/QtCore/qbasicatomic.h > /usr/share/doc/git-annex/html/bugs/git_annex_unlock_is_not_atomic.html > /usr/src/linux-headers-3.11.0-15/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-15/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-15/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-15-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-17/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-17/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-17-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-18/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-18/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-18-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-19/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-19/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-19-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-20/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-20/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-20-generic/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/h8300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.11.0-22/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.11.0-22/include/linux/atomic.h > /usr/src/linux-headers-3.11.0-22-generic/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/alpha/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arm/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/arm64/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/avr32/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/blackfin/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/cris/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/frv/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/hexagon/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/ia64/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/m32r/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/m68k/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/metag/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/microblaze/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/mips/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/mn10300/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/parisc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/powerpc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/s390/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/score/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/sh/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/sparc/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/tile/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/x86/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/arch/xtensa/include/asm/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-headers-3.14.4-031404/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-headers-3.14.4-031404/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404-generic/include/linux/atomic.h > /usr/src/linux-headers-3.14.4-031404-lowlatency/include/linux/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/alpha/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arm/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/arm64/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/avr32/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/blackfin/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/arch-v10/arch/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/arch-v32/arch/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/cris/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/frv/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/h8300/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/hexagon/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/ia64/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/m32r/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/m68k/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/metag/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/microblaze/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/mips/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/mn10300/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/parisc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/powerpc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/s390/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/score/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/sh/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/sparc/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/tile/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/x86/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/arch/xtensa/include/asm/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/ext2-atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/asm-generic/bitops/non-atomic.h > /usr/src/linux-lts-saucy-3.11.0/include/linux/atomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng/lib/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng/wrapper/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng-modules/lib/ringbuffer/vatomic.h > /usr/src/linux-lts-saucy-3.11.0/ubuntu/lttng-modules/wrapper/ringbuffer/vatomic.h Yes, I know there are multiple headers of the same type here, but they are different versions. Version "linux-headers-3.14.4-031404" shows to be the latest. Ubuntu shows "Nothing needed to be installed." However, the following C/C++ headers files show to be missing for Eclipse and QT4. #include <linux/version.h> #include <linux/module.h> #include <linux/socket.h> #include <linux/miscdevice.h> #include <linux/list.h> #include <linux/vmalloc.h> #include <linux/slab.h> #include <linux/init.h> #include <asm/uaccess.h> #include <asm/atomic.h> #include <linux/delay.h> #include <linux/usb.h> This problem appears on my 32-bit version of Ubuntu and on both of my 64-bit versions. What I am doing wrong?

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• Oracle Expands Sun Blade Portfolio for Cloud and Highly Virtualized Environments

  - by Ferhat Hatay

  Oracle announced the expansion of Sun Blade Portfolio for cloud and highly virtualized environments that deliver powerful performance and simplified management as tightly integrated systems.  Along with the SPARC T3-1B blade server, Oracle VM blade cluster reference configuration and Oracle's optimized solution for Oracle WebLogic Suite, Oracle introduced the dual-node Sun Blade X6275 M2 server module with some impressive benchmark results.   Benchmarks on the Sun Blade X6275 M2 server module demonstrate the outstanding performance characteristics critical for running varied commercial applications used in cloud and highly virtualized environments.  These include best-in-class SPEC CPU2006 results with the Intel Xeon processor 5600 series, six Fluent world records and 1.8 times the price-performance of the IBM Power 755 running NAMD, a prominent bio-informatics workload.   Benchmarks for Sun Blade X6275 M2 server module  SPEC CPU2006  The Sun Blade X6275 M2 server module demonstrated best in class SPECint_rate2006 results for all published results using the Intel Xeon processor 5600 series, with a result of 679.  This result is 97% better than the HP BL460c G7 blade, 80% better than the IBM HS22V blade, and 79% better than the Dell M710 blade.  This result demonstrates the density advantage of the new Oracle's server module for space-constrained data centers.     Sun Blade X6275M2 (2 Nodes, Intel Xeon X5670 2.93GHz) - 679 SPECint_rate2006; HP ProLiant BL460c G7 (2.93 GHz, Intel Xeon X5670) - 347 SPECint_rate2006; IBM BladeCenter HS22V (Intel Xeon X5680)  - 377 SPECint_rate2006; Dell PowerEdge M710 (Intel Xeon X5680, 3.33 GHz) - 380 SPECint_rate2006.  SPEC, SPECint, SPECfp reg tm of Standard Performance Evaluation Corporation. Results from www.spec.org as of 11/24/2010 and this report.    For more specifics about these results, please go to see http://blogs.sun.com/BestPerf   Fluent The Sun Fire X6275 M2 server module produced world-record results on each of the six standard cases in the current "FLUENT 12" benchmark test suite at 8-, 12-, 24-, 32-, 64- and 96-core configurations. These results beat the most recent QLogic score with IBM DX 360 M series platforms and QLogic "Truescale" interconnects.  Results on sedan_4m test case on the Sun Blade X6275 M2 server module are 23% better than the HP C7000 system, and 20% better than the IBM DX 360 M2; Dell has not posted a result for this test case.  Results can be found at the FLUENT website.   ANSYS's FLUENT software solves fluid flow problems, and is based on a numerical technique called computational fluid dynamics (CFD), which is used in the automotive, aerospace, and consumer products industries. The FLUENT 12 benchmark test suite consists of seven models that are well suited for multi-node clustered environments and representative of modern engineering CFD clusters. Vendors benchmark their systems with the principal objective of providing comparative performance information for FLUENT software that, among other things, depends on compilers, optimization, interconnect, and the performance characteristics of the hardware.   FLUENT application performance is representative of other commercial applications that require memory and CPU resources to be available in a scalable cluster-ready format.  FLUENT benchmark has six conventional test cases (eddy_417k, turbo_500k, aircraft_2m, sedan_4m, truck_14m, truck_poly_14m) at various core counts.   All information on the FLUENT website (http://www.fluent.com) is Copyrighted1995-2010 by ANSYS Inc. Results as of November 24, 2010. For more specifics about these results, please go to see http://blogs.sun.com/BestPerf   NAMD Results on the Sun Blade X6275 M2 server module running NAMD (a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems) show up to a 1.8X better price/performance than IBM's Power 7-based system.  For space-constrained environments, the ultra-dense Sun Blade X6275 M2 server module provides a 1.7X better price/performance per rack unit than IBM's system.     IBM Power 755 4-way Cluster (16U). Total price for cluster: $324,212. See IBM United States Hardware Announcement 110-008, dated February 9, 2010, pp. 4, 21 and 39-46.  Sun Blade X6275 M2 8-Blade Cluster (10U). Total price for cluster:  $193,939. Price/performance and performance/RU comparisons based on f1ATPase molecule test results. Sun Blade X6275 M2 cluster: $3,568/step/sec, 5.435 step/sec/RU. IBM Power 755 cluster: $6,355/step/sec, 3.189 step/sec/U. See http://www-03.ibm.com/systems/power/hardware/reports/system_perf.html. See http://www.ks.uiuc.edu/Research/namd/performance.html for more information, results as of 11/24/10.   For more specifics about these results, please go to see http://blogs.sun.com/BestPerf   Reverse Time Migration The Reverse Time Migration is heavily used in geophysical imaging and modeling for Oil & Gas Exploration.  The Sun Blade X6275 M2 server module showed up to a 40% performance improvement over the previous generation server module with super-linear scalability to 16 nodes for the 9-Point Stencil used in this Reverse Time Migration computational kernel.  The balanced combination of Oracle's Sun Storage 7410 system with the Sun Blade X6275 M2 server module cluster showed linear scalability for the total application throughput, including the I/O and MPI communication, to produce a final 3-D seismic depth imaged cube for interpretation. The final image write time from the Sun Blade X6275 M2 server module nodes to Oracle's Sun Storage 7410 system achieved 10GbE line speed of 1.25 GBytes/second or better performance. Between subsequent runs, the effects of I/O buffer caching on the Sun Blade X6275 M2 server module nodes and write optimized caching on the Sun Storage 7410 system gave up to 1.8 GBytes/second effective write performance. The performance results and characterization of this Reverse Time Migration benchmark could serve as a useful measure for many other I/O intensive commercial applications. 3D VTI Reverse Time Migration Seismic Depth Imaging, see http://blogs.sun.com/BestPerf/entry/3d_vti_reverse_time_migration for more information, results as of 11/14/2010.                            

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• 5 reason why you should upgrade to new iPad (3rd generation)

  - by Gopinath

  Apple released the new iPad, 3rd generation, couple of days ago and they will be available in stores from March 16 onwards.  It’s the best tablet available in the market and for first time buyers it’s a no brainer to choose it. What about the iPad owners? Should they upgrade their iPad 2 to the new iPad? This is the question on the lips of most of the iPad owners. In this post we will provide you 5 reasons why you should upgrade your iPad, if more than two reasons are convincing then you should upgrade to the new iPad. Retina display – The best display ever made for mobile device, a game changer The new iPad comes with Retina display with screen resolution of 2048 x 1536, which is twice the resolution of iPad 2. Undoubtedly the iPad 3’s display is the best display ever made for a mobile device and it’s a game changer. With better resolution on iPad 3 eBook reading is going to be a pleasure with clear and crisp text Watching HD movies on iPad is going to be unbelievably good The new Games targeted for Retina display are going to be more realistic and needless to explain the pleasure of playing such games Graphic artists and photo editors get a professional on screen rendering support to create beautiful graphics 2x Faster & 2x Memory – Better Games and powerful Apps The new iPad is more powerful with 2x faster graphics and 2x more memory. Apple claims that the A5x processor of new iPad is 2x faster than iPad 2 and 4x faster than the best graphic chips available from other vendors. The RAM of  new iPad  is upgraded to 1 GB compared from 512 MB of iPad 2. With the fast processor and more memory, Apps and games are going to be blazing fast. 4G Internet – Browse the web at the speeds of 42 MB/sec Half of the iPad owners are frequent commuters who access internet over cellular networks, the new iPad’s 4G LTE is going to be a big boom for their  high data access needs. With the new iPad’s 4G LTE connectivity you can browse the web at 42 MB/sec and it mean you can watch a HD video without buffering issues. iPad 2 comes with 3G network support and it’s browsing speeds are way less than the new iPad. 5MP Camera – HD Movie Recording & gorgeous Photography iPad 2 has a 0.7 mega pixel camera and the new iPad comes with 5 megapixels camera. That is a huge boost for hobbyist  photographers and videographers. With the new iPad you can shoot gorgeous photos and 1080p HD video. The iSight camera of new iPad uses advanced optics with features like auto exposure, auto focus and face detection up to 10 faces. Amazon Pays up to $300 for old iPad 2 16 GB Wifi and more for other models Do you know that you can trade in your iPad 2 16 GB Wifi for upto $300? Amazon has an excellent trade in program for selling your used iPad 2s. Depending on the condition of the iPad 2  Amazon offers $234, $270, $300.00 for 16 GB Wifi versions that in Acceptable, Good and Like New conditions respectively.  The higher models of iPad 2s fetch you more money. With this great deal from Amazon the amount of extra money you need to spend for new iPad is almost half of their price. Visit Amazon Trade In’s website or read Amazon’s brilliant plan to pay you crazy money for your iPad 2 for more details. Related: New IPad Vs. IPad 2–Side By Side Comparison Of Hardware Specification [Infographic]

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• Measuring ASP.NET and SharePoint output cache

  - by DigiMortal

  During ASP.NET output caching week in my local blog I wrote about how to measure ASP.NET output cache. As my posting was based on real work and real-life results then I thought that this posting is maybe interesting to you too. So here you can read what I did, how I did and what was the result. Introduction Caching is not effective without measuring it. As MVP Henn Sarv said in one of his sessions then you will get what you measure. And right he is. Lately I measured caching on local Microsoft community portal to make sure that our caching strategy is good enough in environment where this system lives. In this posting I will show you how to start measuring the cache of your web applications. Although the application measured is built on SharePoint Server publishing infrastructure, all those counters have same meaning as similar counters under pure ASP.NET applications. Measured counters I used Performance Monitor and the following performance counters (their names are similar on ASP.NET and SharePoint WCMS): Total number of objects added – how much objects were added to output cache. Total object discards – how much objects were deleted from output cache. Cache hit count – how many times requests were served by cache. Cache hit ratio – percent of requests served from cache. The first three counters are cumulative while last one is coefficient. You can use also other counters to measure the full effect of caching (memory, processor, disk I/O, network load etc before and after caching). Measuring process The measuring I describe here started from freshly restarted web server. I measured application during 12 hours that covered also time ranges when users are most active. The time range does not include late evening hours and night because there is nothing to measure during these hours. During measuring we performed no maintenance or administrative tasks on server. All tasks performed were related to usual daily content management and content monitoring. Also we had no advertisement campaigns or other promotions running at same time. The results You can see the results on following graphic.   Total number of objects added   Total object discards   Cache hit count   Cache hit ratio You can see that adds and discards are growing in same tempo. It is good because cache expires and not so popular items are not kept in memory. If there are more popular content then the these lines may have bigger distance between them. Cache hit count grows faster and this shows that more and more content is served from cache. In current case it shows that cache is filled optimally and we can do even better if we tune caches more. The site contains also pages that are discarded when some subsite changes (page was added/modified/deleted) and one modification may affect about four or five pages. This may also decrease cache hit count because during day the site gets about 5-10 new pages. Cache hit ratio is currently extremely good. The suggested minimum is about 85% but after some tuning and measuring I achieved 98.7% as a result. This is due to the fact that new pages are most often requested and after new pages are added the older ones are requested only sometimes. So they get discarded from cache and only some of these will return sometimes back to cache. Although this may also indicate the need for additional SEO work the result is very well in technical means. Conclusion Measuring ASP.NET output cache is not complex thing to do and you can start by measuring performance of cache as a start. Later you can move on and measure caching effect to other counters such as disk I/O, network, processors etc. What you have to achieve is optimal cache that is not full of items asked only couple of times per day (you can avoid this by not using too long cache durations). After some tuning you should be able to boost cache hit ratio up to at least 85%.

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• Tap Into Tier 1 ERP

  - by Christine Randle

  By: Larry Simcox, Senior Director, Accelerate Corporate Programs     Your customers aren’t satisfied with so-so customer service. Your employees aren’t happy with below average salaries.   So why would you settle for second-rate or tier 2 ERP?   A recent report from Nucleus Research found that usability improvements and rapid implementation tools are simplifying deployments, putting tier 1 enterprise applications well within reach for midsize companies. So how can your business tap into the power of tier 1 ERP? And what are the best ways to manage a deployment?   The Reputation of ERP Implementations Overhauling internal operations and implementing ERP can be a challenging endeavor for organizations of all sizes. Midsize companies often shy away from enterprise-class ERP, fearing complexity, limited resources and perceived challenging deployments. Many forward thinking executives experienced ERP implementations in the late 90s and early 2000s and embrace a strategy to grow their business by investing in a foundation for innovation and growth via ERP modernization projects.   In recent years there has been a strong consumerization of IT with enterprise applications and their delivery methods evolving to become more user-friendly.  Today, usability improvements and modern implementation tools have made top-tier ERP solutions more accessible for growing companies. Nucleus found that because enterprise-class software can now be rapidly deployed, the payback is quicker, the risks are lower, the software is less disruptive and overall, companies can differentiate themselves from their competitors and achieve more success with the advantages these types of systems deliver.   Tapping into the power of tier 1 ERP can be made much easier with Oracle Accelerate solutions. Created by Oracle's expert partners and reviewed by Oracle, Oracle Accelerate solutions are simple to deploy, industry-specific, packaged solutions that provide a fast time to benefit, which means getting the right solution in place quickly, inexpensively with a controlled scope and predictable returns.   How are growing midsize companies successfully deploying tier 1 ERP? According to Nucleus Research, companies can increase success in their tier 1 ERP deployments by limiting customization, planning a rapid go-live, bettering communication across departments, and considering different delivery options. Oracle Accelerate solutions incorporate industry best practices and encourage rapid deployments. And even more, Nucleus found customers deploying tier 1 ERP with Oracle that had used Oracle Business Accelerators, Oracle’s rapid implementation tools, reduced the time to deploy Oracle E-Business Suite by at least 50 percent.   Industrial manufacturer L.H. Dottie is one company that needed ERP with enhanced capabilities to support its growth and streamline business processes. Using out-of-the-box configuration of Oracle E-Business Suite modules (provided by Oracle Business Accelerators and delivered by Oracle Partner C3 Business Solutions), L.H. Dottie was able to speed its implementation and went live in just six and a half months. With tier 1 ERP, the company was able to grow and do its business better, automating a variety of processes, accelerating product delivery and gaining powerful data analysis capabilities that helped drive its business into further regions. See more details about their ERP implementation here.   Tier 1 enterprise-class applications have proven to boost the success of Oracle’s midsize customers. As Nucleus Research iterates, companies poised for growth or seeking to compete against larger competitors absolutely can tap into the power of tier 1 ERP and position themselves as enterprise-class through leveraging Oracle Accelerate solutions.   You can learn more here about The Evolving Business Case for Tier - 1 ERP in Midsize Companies in our exclusive webcast with Nucleus.   ###  

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• Adding custom interfaces to your mock instance.

  - by mehfuzh

  Previously, i made a post  showing how you can leverage the dependent interfaces that is implemented by JustMock during the creation of mock instance. It could be a informative post that let you understand how JustMock behaves internally for class or interfaces implement other interfaces into it. But the question remains, how you can add your own custom interface to your target mock. In this post, i am going to show you just that. Today, i will not start with a dummy class as usual rather i will use two most common interfaces in the .NET framework  and create a mock combining those. Before, i start i would like to point out that in the recent release of JustMock we have extended the Mock.Create<T>(..) with support for additional settings though closure. You can add your own custom interfaces , specify directly the real constructor that should be called or even set the behavior of your target. Doing a fast forward directly to the point,  here goes the test code for create a creating a mock that contains the mix for ICloneable and IDisposable using the above mentioned changeset. var myMock = Mock.Create<IDisposable>(x => x.Implements<ICloneable>()); var myMockAsClonable = myMock as ICloneable; bool isCloned = false;   Mock.Arrange(() => myMockAsClonable.Clone()).DoInstead(() => isCloned = true);   myMockAsClonable.Clone();   Assert.True(isCloned);   Here, we are creating the target mock for IDisposable and also implementing ICloneable. Finally, using the “as” for getting the ICloneable reference accordingly arranging it, acting on it and asserting if the expectation is met properly. This is a very rudimentary example, you can do the same for a given class: var realItem = Mock.Create<RealItem>(x => {     x.Implements<IDisposable>();     x.CallConstructor(() => new RealItem(0)); }); var iDispose = realItem as IDisposable;     iDispose.Dispose(); Here, i am also calling the real constructor for RealItem class.  This is to mention that you can implement custom interfaces only for non-sealed classes or less it will end up with a proper exception. Also, this feature don’t require any profiler, if you are agile or running it inside silverlight runtime feel free to try it turning off the JM add-in :-). TIP :  Ability to  specify real constructor could be a useful productivity boost in cases for code change and you can re-factor the usage just by one click with your favorite re-factor tool.   That’s it for now and hope that helps Enjoy!!

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• C#: A "Dumbed-Down" C++?

  - by James Michael Hare

  I was spending a lovely day this last weekend watching my sons play outside in one of the better weekends we've had here in Saint Louis for quite some time, and whilst watching them and making sure no limbs were broken or eyes poked out with sticks and other various potential injuries, I was perusing (in the correct sense of the word) this month's MSDN magazine to get a sense of the latest VS2010 features in both IDE and in languages. When I got to the back pages, I saw a wonderful article by David S. Platt entitled, "In Praise of Dumbing Down"  (msdn.microsoft.com/en-us/magazine/ee336129.aspx).  The title captivated me and I read it and found myself agreeing with it completely especially as it related to my first post on divorcing C++ as my favorite language. Unfortunately, as Mr. Platt mentions, the term dumbing-down has negative connotations, but is really and truly a good thing.  You are, in essence, taking something that is extremely complex and reducing it to something that is much easier to use and far less error prone.  Adding safeties to power tools and anti-kick mechanisms to chainsaws are in some sense "dumbing them down" to the common user -- but that also makes them safer and more accessible for the common user.  This was exactly my point with C++ and C#.  I did not mean to infer that C++ was not a useful or good language, but that in a very high percentage of cases, is too complex and error prone for the job at hand. Choosing the correct programming language for a job is a lot like choosing any other tool for a task.  For example: if I want to dig a French drain in my lawn, I can attempt to use a huge tractor-like backhoe and the job would be done far quicker than if I would dig it by hand.  I can't deny that the backhoe has the raw power and speed to perform.  But you also cannot deny that my chances of injury or chances of severing utility lines or other resources climb at an exponential rate inverse to the amount of training I may have on that machinery. Is C++ a powerful tool?  Oh yes, and it's great for those tasks where speed and performance are paramount.  But for most of us, it's the wrong tool.  And keep in mind, I say this even though I have 17 years of experience in using it and feel myself highly adept in utilizing its features both in the standard libraries, the STL, and in supplemental libraries such as BOOST.  Which, although greatly help with adding powerful features quickly, do very little to curb the relative dangers of the language. So, you may say, the fault is in the developer, that if the developer had some higher skills or if we only hired C++ experts this would not be an issue.  Now, I will concede there is some truth to this.  Obviously, the higher skilled C++ developers you hire the better the chance they will produce highly performant and error-free code.  However, what good is that to the average developer who cannot afford a full stable of C++ experts? That's my point with C#:  It's like a kinder, gentler C++.  It gives you nearly the same speed, and in many ways even more power than C++, and it gives you a much softer cushion for novices to fall against if they code less-than-optimally.  A bug is a bug, of course, in any language, but C# does a good job of hiding and taking on the task of handling almost all of the resource issues that make C++ so tricky.  For my money, C# is much more maintainable, more feature-rich, second only slightly in performance, faster to market, and -- last but not least -- safer and easier to use.  That's why, where I work, I much prefer to see the developers moving to C#.  The quantity of bugs is much lower, and we don't need to hire "experts" to achieve the same results since the language itself handles those resource pitfalls so prevalent in poorly written C++ code.  C++ will still have its place in the world, and I'm sure I'll still use it now and again where it is truly the correct tool for the job, but for nearly every other project C# is a wonderfully "dumbed-down" version of C++ -- in the very best sense -- and to me, that's the smart choice.

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• Have you ever wondered...?

  - by diana.gray

  I've often wondered why folks do the same thing over and over. For some of us, it's because we "don't get it" and there's an abundance of TV talk shows that will help us analyze the why of it. Dr. Phil is all too eager to ask "...and how's that working for you?". But I'm not referring to being stuck in a destructive pattern or denial. I'm really talking about doing something over and over because you have found a joy, a comfort, a boost of energy from an activity or event. For example, how many times have I planted bulbs in November or December only to be amazed by their reach, colors, and fragrance in early spring? Or baked fresh cookies and allowed the aroma to fill the house? Or kissed a sleeping baby held gently in my arms and being reminded of how tiny and fragile we all are. I've often wondered why it is that I get so much out of something I've done so many times. I think it's because I've changed. The activity may be the same but in the preceding days, months and years I've had new experiences, challenges, joys and sorrows that have shaped me. I'm different. The same is true about attending the Professional Businesswomen of California (PBWC) conference. Although the conference is an annual event held at San Francisco's Moscone Center, I still enjoy being with 3,000 other women like me. Yes, we work at different companies and in different industries, have different lifestyles and are at different stages in our professional careers and personal lives; but we are all alike in that we bring the NEW me each year that we attend. This year I can cheer when Safra Catz, President of Oracle, encourages us to trust our intuition; that "if something doesn't make sense, it doesn't make sense". And I can warmly introduce myself to Lisa Askins, Cheryl Melching's business partner at Center Stage Group, when I would have been too intimated to do so last year. This year I can commit to new challenges such as "no whining, no excuses and no gossip" as suggested by Roxanne Emmerich, a goal that I would have wavered on last year. I can also embrace the suggestion given by Dr. Ian Smith to "spend one hour each day" on me - giving myself time to rejuvenate. A friend, when asked if she was attending PBWC this year, said "I've attended the conference several times and there's nothing new!" My perspective is that WE are what makes PBWC's annual conference new. We are far different in 2010 than we were in 2009. We are learning, growing, developing and shedding and that's what makes the conference fresh, vibrant, rewarding, and lasting. It is the diversity of women coming together that makes it new. By sharing our experiences, we discover. By meeting with one another professionally and personally, we connect. And by applying the wisdom learned, we shine. We are reNEW-ed. It shows in our fresh ideas, confident interactions, strategic decisions and successful businesses. This refreshed approach is what our companies want and need, our families depend on, our communities and nation look to for creative solutions to pressing concerns. Thanks Oracle for your continued support and thanks PBWC for providing an annual day to be reNEW-ed.

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• Educational, well-written FOSS projects to read, study or discuss

  - by Godot

  Before you say it: yes, this "question" has been asked other times. However, I could not fine many of such questions and not that easily, and those I found had similar results. What I'm trying to say that there are no comprehensive lists of well written Open Source projects, so I decided to set some requirements for the entries (one or possibly more): Idiomatic use of the language in which they are written The project should be lightweight. Not as in "a few kbs", as in "clean" and possibly following the UNIX philosophy, making an efficient use of resources and performing its duty and nothing more. No code bloat, most importantly. Projects like Firefox and GNOME wouldn't qualify, for example. Minimal reliance on external, non-standard libraries, with exceptions for some common FOSS libraries (curses, Xlib, OpenGL and possibly "usual suspects" like gtk+, webkit and Boost). Reliance on well-written libraries is welcome. No reliance on proprietary software - for obvious reasons (programs that rely on XNA, DirectX, Cocoa and similar, for example). Well-documented code is welcome. Include link to web interfaces to their repositories if possible. Here are some sample projects that often pop up in these threads: Operating Systems Plan 9 from Bell Labs: More or less, the official "sequel" to UNIX. Written in C by the same people who invented C! NetBSD: The most portable BSD implementation, written in C and also a good example of portable and organized code. Network and Databases Sqlite: Extremely lightweight and extremely efficient, one of the best pieces of C software I've seen. Count the lines yourself! Lighttpd: A small but pretty reliable web server written in C. Programming languages and VMs Lua: extremely lightweight multi-paradigm programming language. Written in C. Tiny C Compiler: Really tiny C compiler. Not really comparable to GCC or Clang but does its job. PyPy: A Python implementation written in Python. Pharo: OK, I admit it, I'm not really a Smalltalk expert but Pharo is a fork of Squeak and looked rather interesting. Stackless Python - An implementation of Python that doesn't rely on the C call stack - written in C (with some parts in Python) Games and 3D: Angband: One of the most accessible roguelike codebases around here, written in C. Ogre3D: Cross-platform 3D engine. Gets bloated if you don't skip the platform-specific implementation code, otherwise is a pretty solid example of good C++ OO. Simon Tatham's Portable Puzzle Collection: Title says it all. Other - dwm: Lightweight window manager. Written in C. Emulation and Reverse Engineering - Bochs: x86 emulator, written in C++ and tiny enough. - MAME: If you want to see C at one of its lowest levels, MAME is for you. May not be as clean as the other projects but it can teach you A LOT. Before you ask: I didn't mention Linux because it has become quite bloated in the last few years, Linus has also confirmed it. Nonetheless, it'd be a great educational read the same, even if for other reasons. Same for GCC. Feel free to edit or wikify my post. I hope you won't lock my question, I'm only trying to organize a little community effort for the good of all those people who want to enhance their coding skills.

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