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• Google I/O 2011: 3D Graphics on Android: Lessons learned from Google Body

  Google I/O 2011: 3D Graphics on Android: Lessons learned from Google Body Nico Weber Google originally built Google Body, a 3D application that renders the human body in incredible detail, for WebGL-capable browsers running on high-end bPCs. To bring the app to Android at a high resolution and frame rate, Nico Weber and Won Chun had a close encounter with Android's graphics stack. In this session Nico will present their findings as best practices for high-end 3D graphics using OpenGL ES 2.0 on Android. The covered topics range from getting accelerated pixels on the screen to fast resource loading, performance guidelines, texture compression, mipmapping, recommended vertex attribute formats, and shader handling. The talk also touches on related topics such as SDK vs NDK, picking, and resource loading. From: GoogleDevelopers Views: 6077 29 ratings Time: 56:09 More in Science & Technology

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• Are VB.NET to C# converters actually compilers?

  - by Rowan Freeman

  Whenever I see programs or scripts that convert between high-level programming languages they are always labelled as converters. "VB.NET to C# converter" on Google results in expected, useful hits. However "VB.NET to C# compiler" on Google results in things like comparisons between the C# and VB.NET compilers and other hits that are not quite what you'd be looking for. Webopedia defines Compiler as A program that translates source code into object code Eric Lipper in an answer to: "How do I create my own programming language and a compiler for it" suggests: One of the best ways to get started writing a compiler is by writing a high-level-language-to-high-level-language compiler. Is a converter really just a compiler? What separates the two?

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• GDC 2012: From Console to Chrome

  GDC 2012: From Console to Chrome (Pre-recorded GDC content) Cutting-edge HTML5 brings high performance console-style 3d games to the browser, but developing a modern HTML5 game engine can be a challenge. Adapting to HTML5 and Javascript can be bewildering to game programmers coming from C / C++. This talk is an overview of the tools, techniques, and topics you need to be familiar with to adapt to programming high performance 3D games for the web. Topics will include cutting edge HTML5 APIs, writing high performance Javascript, and profiling / debugging tools. Speaker: Lilli Thompson From: GoogleDevelopers Views: 3845 80 ratings Time: 01:02:14 More in Science & Technology

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• Online Multiplayer Game Architecture [on hold]

  - by Eric

  I am just starting to research online multiplayer game development and I have a high-level architectural question regarding how online multiple games function. I have server-side and client-side programming experience, and I understand how AJAX-esque transfer protocol operates. What I don't understand yet is how online multiple fits into all of that. For example, an online Tetris multiplayer game. Would both players have the entire Tetris game built out on their client-side and then get pushed "moves" from the other player via some AJAX-esque mechanism, in which case each client would have to be constantly listening via JavaScript for inbound "moves" and update the client appropriately? Or would each client build out the aesthetics and run a virtual server per game to which each client connects and thus pull and push commands in real-time via something like web sockets? I apologize if this question is too high-level and general, but I couldn't find anything online that offered this high-level of a perspective on the topic.

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• UK Connected Systems User Group - Udi Dahan Event Topic change

  - by Michael Stephenson

  Hi Just wanted to get the word out about a change to the may user group event.  Udi Dahan will present a new topic which he has not presented in the UK before.  Details below. To register for this event please refer to: http://ukconnectedsystemsusergroup.org/UpcomingEvents.aspx Title: High Availability - A Contrarian View   Abstract: Many developers are aware of the importance of high availability, critically analyzing any single points of failure in the infrastructure. Those same developers rarely give a second thought to the periods of time when a system is being upgraded. Even if all the servers are running, most systems cannot function in-between versions. Yet with the increased pace of business, users are demanding ever more frequent releases. The poor maintenance programmers and system administrators are left holding the bag long after the architecture that sealed their fate was formulated. Join Udi for some different perspectives on high availability - architecture and methodology for the real world.

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• The Calmest IT Guy in the World

  - by Markus Weber

  Unplanned outages and downtime still result not only in major productivity losses, but also major financial losses. Along the same lines, if zero planned downtime and zero data loss are key to your IT environment and your business requirements, planning for those becomes very important, all while balancing between performance, high availability, and cost. Oracle Database High Availability technologies will help you achieve these mission-critical goals, and are reflected in Oracle's best practices offerings of the Maximum Availability Architecture, or MAA. We created three neat, short videos showcasing some typical use cases, and highlighting three important components (amongst many more) of MAA: Oracle Real Application Clusters (RAC) Oracle Active Data Guard Oracle Flashback Technologies Make sure to watch those videos here, and learn about challenges, and solutions, around High Availability database environments from a recent Independent Oracle Users Group (IOUG) survey. 

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• Big Data – Buzz Words: What is HDFS – Day 8 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned what is MapReduce. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – HDFS. What is HDFS ? HDFS stands for Hadoop Distributed File System and it is a primary storage system used by Hadoop. It provides high performance access to data across Hadoop clusters. It is usually deployed on low-cost commodity hardware. In commodity hardware deployment server failures are very common. Due to the same reason HDFS is built to have high fault tolerance. The data transfer rate between compute nodes in HDFS is very high, which leads to reduced risk of failure. HDFS creates smaller pieces of the big data and distributes it on different nodes. It also copies each smaller piece to multiple times on different nodes. Hence when any node with the data crashes the system is automatically able to use the data from a different node and continue the process. This is the key feature of the HDFS system. Architecture of HDFS The architecture of the HDFS is master/slave architecture. An HDFS cluster always consists of single NameNode. This single NameNode is a master server and it manages the file system as well regulates access to various files. In additional to NameNode there are multiple DataNodes. There is always one DataNode for each data server. In HDFS a big file is split into one or more blocks and those blocks are stored in a set of DataNodes. The primary task of the NameNode is to open, close or rename files and directory and regulate access to the file system, whereas the primary task of the DataNode is read and write to the file systems. DataNode is also responsible for the creation, deletion or replication of the data based on the instruction from NameNode. In reality, NameNode and DataNode are software designed to run on commodity machine build in Java language. Visual Representation of HDFS Architecture Let us understand how HDFS works with the help of the diagram. Client APP or HDFS Client connects to NameSpace as well as DataNode. Client App access to the DataNode is regulated by NameSpace Node. NameSpace Node allows Client App to connect to the DataNode based by allowing the connection to the DataNode directly. A big data file is divided into multiple data blocks (let us assume that those data chunks are A,B,C and D. Client App will later on write data blocks directly to the DataNode. Client App does not have to directly write to all the node. It just has to write to any one of the node and NameNode will decide on which other DataNode it will have to replicate the data. In our example Client App directly writes to DataNode 1 and detained 3. However, data chunks are automatically replicated to other nodes. All the information like in which DataNode which data block is placed is written back to NameNode. High Availability During Disaster Now as multiple DataNode have same data blocks in the case of any DataNode which faces the disaster, the entire process will continue as other DataNode will assume the role to serve the specific data block which was on the failed node. This system provides very high tolerance to disaster and provides high availability. If you notice there is only single NameNode in our architecture. If that node fails our entire Hadoop Application will stop performing as it is a single node where we store all the metadata. As this node is very critical, it is usually replicated on another clustered as well as on another data rack. Though, that replicated node is not operational in architecture, it has all the necessary data to perform the task of the NameNode in the case of the NameNode fails. The entire Hadoop architecture is built to function smoothly even there are node failures or hardware malfunction. It is built on the simple concept that data is so big it is impossible to have come up with a single piece of the hardware which can manage it properly. We need lots of commodity (cheap) hardware to manage our big data and hardware failure is part of the commodity servers. To reduce the impact of hardware failure Hadoop architecture is built to overcome the limitation of the non-functioning hardware. Tomorrow In tomorrow’s blog post we will discuss the importance of the relational database in Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• In Social Relationship Management, the Spirit is Willing, but Execution is Weak

  - by Mike Stiles

  In our final talk in this series with Aberdeen’s Trip Kucera, we wanted to find out if enterprise organizations are actually doing anything about what they’re learning around the importance of communicating via social and using social listening for a deeper understanding of customers and prospects. We found out that if your brand is lagging behind, you’re not alone. Spotlight: How was Aberdeen able to find out if companies are putting their money where their mouth is when it comes to implementing social across the enterprise? Trip: One way to think about the relative challenges a business has in a given area is to look at the gap between “say” and “do.” The first of those words reveals the brand’s priorities, while the second reveals their ability to execute on those priorities. In Aberdeen’s research, we capture this by asking firms to rank the value of a set of activities from one on the low end to five on the high end. We then ask them to rank their ability to execute those same activities, again on a one to five, not effective to highly effective scale. Spotlight: And once you get their self-assessments, what is it you’re looking for? Trip: There are two things we’re looking for in this analysis. The first is we want to be able to identify the widest gaps between perception of value and execution. This suggests impediments to adoption or simply a high level of challenge, be it technical or otherwise. It may also suggest areas where we can expect future investment and innovation. Spotlight: So the biggest potential pain points surface, places where they know something is critical but also know they aren’t doing much about it. What’s the second thing you look for? Trip: The second thing we want to do is look at specific areas in which high-performing companies, the Leaders, are out-executing the Followers. This points to the business impact of these activities since Leaders are defined by a set of business performance metrics. Put another way, we’re correlating adoption of specific business competencies with performance, looking for what high-performers do differently. Spotlight: Ah ha, that tells us what steps the winners are taking that are making them winners. So what did you find out? Trip: Generally speaking, we see something of a glass curtain when it comes to the social relationship management execution gap. There isn’t a single social media activity in which more than 50% of respondents indicated effectiveness, which would be a 4 or 5 on that 1-5 scale. This despite the fact that 70% of firms indicate that generating positive social media mentions is valuable or very valuable, a 4 or 5 on our 1-5 scale. Spotlight: Well at least they get points for being honest. The verdict they’re giving themselves is that they just aren’t cutting it in these highly critical social development areas. Trip: And the widest gap is around directly engaging with customers and/or prospects on social networks, which 69% of firms rated as valuable but only 34% of companies say they are executing well. Perhaps even more interesting is that these two are interdependent since you’re most likely to generate goodwill on social through happy, engaged customers. This data also suggests that social is largely being used as a broadcast channel rather than for one-to-one engagement. As we’ve discussed previously, social is an inherently personal media. Spotlight: And if they’re still using it as a broadcast channel, that shows they still fail to understand the root of social and see it as just another outlet for their ads and push-messaging. That’s depressing. Trip: A second way to evaluate this data is by using Aberdeen’s performance benchmarking. The story is both a bit different, but consistent in its own way. The first thing we notice is that Leaders are more effective in their execution of several key social relationship management capabilities, namely generating positive mentions and engaging with “influencers” and customers. Based on the fact that Aberdeen uses a broad set of performance metrics to rank the respondents as either “Leaders” (top 35% in weighted performance) or “Followers” (bottom 65% in weighted performance), from website conversion to annual revenue growth, we can then correlated high social effectiveness with company performance. We can also connect the specific social capabilities used by Leaders with effectiveness. We spoke about a few of those key capabilities last time and also discuss them in a new report: Social Powers Activate: Engineering Social Engagement to Win the Hidden Sales Cycle. Spotlight: What all that tells me is there are rewards for making the effort and getting it right. That’s how you become a Leader. Trip: But there’s another part of the story, which is that overall effectiveness, even among Leaders, is muted. There’s just one activity in which more than a majority of Leaders cite high effectiveness, effectiveness being the generation of positive buzz. While 80% of Leaders indicate “directly engaging with customers” through social media channels is valuable, the highest rated activity among Leaders, only 42% say they’re effective. This gap even among Leaders shows the challenges still involved in effective social relationship management. @mikestilesPhoto: stock.xchng

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• Why are so many questions closed? [closed]

  - by Kim Jong Woo

  Why is there so many questions on this stackexchange site closed? I mean far more than usual. Even very high quality discussions are closed. Doesn't this high number of closed questions with high number of views and good quality of content seem like that the current policy that governs the criteria for appropriate question might be going against nature? I mean it feels as if lot of questions or discussions are everything surrounding programmer, programming, and need not be objective or seeking definitive answer. It appears lot of questions are of inquisitive nature seeking insight into other programmers and finding common subjects of interest. Is it possible for mods to relax a bit? I mean lot of great questions with [closed] tag everywhere doesn't do justice. This question in itself is a perfect example of what I am talking about and it will be closed. But I think my point is clear.

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• Recommended 2D Game Engine for prototyping

  - by Thomas Dufour

  What high-level game engine would you recommend to develop a 2D game prototype on windows? (or mac/linux if you wish) The kind of things I mean by "high-level" includes (but is definitely not limited to): not having to manage low-level stuff like screen buffers, graphics contexts having an API to draw geometric shapes well, I was going to omit it but I guess being based on an actual "high-level" language is a plus (automatic resource management and the existence a reasonable set of data structures in the standard library come to mind). It seems to me that Flash is the proverbial elephant in the room for this query but I'd very much like to see different answers based on all kinds of languages or SDKs.

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• Unity3D or UDK or OPENGL from scratch?

  - by Legolas

  I am just very confused which I should choose in terms of high end game development. The application that I am designing is pretty simple, requires some 3D, and some effects. I am looking at a game similar to ping pong, but with high textures and graphics. I will just need web services to submit high scores. From my description, you can see that its pretty straight forward and I am confused whether I should use Unity3D or UDK or write the entire application myself with openGL (which will take a lot of time though). If you had faced this dilemma before, and chose for a particular graphics engine, please provide your suggestions and reasons as to why that was better. It would be helpful. Also, how can this affect in terms of investment and revenue ?

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• Webcast: Maximum Availability with Oracle GoldenGate

  - by Markus Weber

  Make sure to register here for this upcoming live webcast, with great speakers, and a live Q&A chat session.It is scheduled for Thursday, December 13th, 2012, at 10am Pacific Time. There are no doubts about the strength, and depth, of Oracle's offerings for highly available database environments. But depending on the nature of your data center environments, your different uses cases and workloads, your service level agreements and expectations, there might still be some open questions about what the best solutions and architectures are to assure high availability and/or affordable, efficient disaster recovery. Therefore, this webcast will answer questions such as: How does Oracle GoldenGate fit into Oracle's Maximum Availability Architecture ? When to use Oracle Active Data Guard ? When Oracle GoldenGate ? When both ? When Oracle GoldenGate is a definite requirement for Database High Availability ? Overall, what are new high availability features in Oracle GoldenGate 11g Release 2 ? 

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• What exactly does "keyword" mean in the context of AdSense CPC?

  - by deltanovember

  I have read in a lot of places that CPC depends on the value of "keywords". However I don't understand what this means. I will set forward some scenarios. Suppose I run a blog about knitting and this is a low paying niche. However I suddenly write five frontpage blog posts about forex trading and insurance. When people click on the frontpage ads, would I be getting paid for the low CPC knitting content or for the high paying forex content? Suppose somebody finds my webpage by searching for knitting. However the actual content of the landing page is filled with high paying keywords. Is the CPC for this page determined by the low paying search or the high paying content?

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• Programming vs Planning

  - by MattW

  Recently I have been tasked with more High level planning assignments due to the lead developer of my team leaving. I hate long term planning. My brain just doesn't naturally seem wired for it and I am not interested enough in it to spend the time to learn it (it is hard enough to keep up with the programming side of the picture). Can I still be a good programmer without being a high level planer too? Are you expected to be good at planning out the entire product and picking a date, as part of being a senior programmer. Is it possible to be a good programmer and not a high level planner?

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• directory with 980MB meta data, millions of files, how to delete it? (ext3)

  - by Alexandre

  Hello, So I'm stuck with this directory: drwxrwxrwx 2 dan users 980M 2010-12-22 18:38 sessions2 The directories contents is small - just millions of tiny little files. I want to wipe it from the filesystem but have been unable to. My first try was: find sessions2 -type f -delete and find sessions2 -type f -print0 | xargs -0 rm -f but had to stop because both caused escalating memory usage. At one point it was using 65% of the system's memory. So I thought (no doubt incorrectly), that it had to do with the fact that dir_index was enabled on the system. Perhaps find was trying to read the entire index into memory? So I did this (foolishly): tune2fs -O^dir_index /dev/xxx Alright, so that should do it. Ran the find command above again and... same thing. Crazy memory usage. I hurriedly ran tune2fs -Odir_index /dev/xxx to reenable dir_index, and ran to Server Fault! 2 questions: 1) How do I get rid of this directory on my live system? I don't care how long it takes, as long as it uses little memory and little CPU. By the way, using nice find ... I was able to reduce CPU usage, so my problem right now is only memory usage. 2) I disabled dir_index for about 20 minutes. No doubt new files were written to the filesystem in the meanwhile. I reenabled dir_index. Does that mean the system will not find the files that were written before dir_index was reenabled since their filenames will be missing from the old indexes? If so and I know these new files aren't important, can I maintain the old indexes? If not, how do I rebuild the indexes? Can it be done on a live system? Thanks!

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• Cannot install jdk 1.5 on Ubuntu 12.04

  - by u123

  I have installed Ubuntu 12.04.1 LTS (GNU/Linux 3.2.0-23-generic x86_64). Some info about the machine: $ grep --color "model name" /proc/cpuinfo model name : Intel(R) Xeon(R) CPU E5430 @ 2.66GHz model name : Intel(R) Xeon(R) CPU E5430 @ 2.66GHz model name : Intel(R) Xeon(R) CPU E5430 @ 2.66GHz model name : Intel(R) Xeon(R) CPU E5430 @ 2.66GHz I need to install jdk5 to support an old application. I have tried: ~$ sudo apt-get install openjdk-5-jdk Reading package lists... Done Building dependency tree Reading state information... Done E: Unable to locate package openjdk-5-jdk I have also tried: ~$ sudo apt-get install sun-java5-jdk Reading package lists... Done Building dependency tree Reading state information... Done E: Unable to locate package sun-java5-jdk So its not available in the repos. I have tried to follow this guide (adding the jaunty repos): http://leonardo-pinho.blogspot.dk/2010/11/java-15-no-ubuntu-1010.html but same result. Then I have tried to download jdk-1_5_0_22-linux-i586.bin from here: http://www.oracle.com/technetwork/java/javasebusiness/downloads/java-archive-downloads-javase5-419410.html#jdk-1.5.0_22-oth-JPR and do: ~$ chmod a+x jdk-1_5_0_22-linux-i586.bin ~$ sudo ./jdk-1_5_0_22-linux-i586.bin Sun Microsystems, Inc. Binary Code License Agreement yes Unpacking... Checksumming... 0 0 Extracting... ./jdk-1_5_0_22-linux-i586.bin: 424: ./jdk-1_5_0_22-linux-i586.bin: ./install.sfx.19556: not found ./jdk-1_5_0_22-linux-i586.bin: 1: cd: can't cd to jdk1.5.0_22 Any suggestions?

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• PHP running too slow, always showing "504 Gateway Time-out"

  - by komase

  PHP running too slow, always showing "504 Gateway Time-out" My server spec: Dual core ATOM 330 CPU 2GB RAM Use nginx with PHP in fastcgi use eaccelerator CPU 74.3%id RAM used: 350MB of 2GB I have lots of sites in my server, with cron running every minutes all time, even on some minutes, double or triple cron running at same time. All my sites cron is heavy, usually the cron running more than one minutes. my nginx.conf has become too big until nginx refuse to start because too many sites in it. it has been solved by increasing server_names_hash_max_size. Im planning to add more sites in my server Now, opening my website always showing 504 Gateway Time-out. I have tested many eaccelerator and PHP setting, but this 504 Gateway Time-out still happen. the 504 Gateway Time-out will dissappeared when cron is disabled I have no idea: is this because not enough processor power? And what should I do? upgrade my processor? --------added this is top for my CPU just now: Cpu(s): 17.5%us, 3.8%sy, 0.1%ni, 71.6%id, 6.9%wa, 0.1%hi, 0.1%si, 0.0%st

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• What should I do to make sure that IIS does not recycle my application?

  - by AngryHacker

  I have a WCF service app hosted in IIS. On startup, it goes and fetches a really expensive (in terms of time and cpu) resource to use as local cache. Unfortunately, IIS seems to recycle the process on a fairly regular basis. So I am trying to change the settings on the Application Pool to make sure that IIS does not recycle the application. So far, I've change the following: Limit Interval under CPU from 5 to 0. Idle Time-out under Process Model from 20 to 0. Regular Time Interval under Recycling from 1740 to 0. Will this be enough? And I have specific questions about the items I changed: What specifically does Limit Interval setting under CPU mean? Does it mean that if a certain CPU usage is exceeded, the application pool will be recycled? What exactly does "recycled" mean? Is the application completely torn down and started up again? What is the difference between "Worker Process shutdown" and "Application Pool recycling"? The documentation for the Idle Time-out under Process Model talks about shutting down the worker process. While the docs for Regular Time Interval under Recycling talk about application pool recycling. I don't quite grok the difference between the two. I thought the w3wp.exe is the worker process which runs the application pool. Can someone explain the difference to the application between the two? The reason for having IIS7 and IIS7.5 tags is because the app will run in both and hope the answers are the same between the versions. Image for reference:

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• Apache 2.4 Prefork vs. PHP-FPM Event shows sig decrease in requests per second

  - by Mark

  On my Apache 2.4.2 server with a standard mod_php Prefork setup these are my server-status results Current Time: Wednesday, 24-Oct-2012 19:36:24 CDT Restart Time: Wednesday, 24-Oct-2012 01:27:30 CDT Parent Server Config. Generation: 1 Parent Server MPM Generation: 0 Server uptime: 18 hours 8 minutes 54 seconds Total accesses: 14304233 - Total Traffic: 342.3 GB CPU Usage: u12584.6 s721.93 cu.66 cs3.43 - 20.4% CPU load 219 requests/sec - 5.4 MB/second - 25.1 kB/request 507 requests currently being processed, 355 idle workers ______KKKKR_K______W_KKC___CKK_K_K_W__CC_KKK_KK._K_K_KK._KKKK_K_ K_____KK_KKKK_K_KK__K___KK_K___K_____CKKK_WK_K_____KCKK__K___K_K K_CK_K_K_____K__KKKK_K__K___K_KK_K_K_KKKCK____________KK_CK__KKK __C_KKKKKKK___CK___C_KKK_K__C__K_CK____KKK__K__K__K_K__KK_CK_K__ _KKKKK_K_W__KK______K___K__W___C_K__K____KKKKKKKK.KKKKKKKCK_K___ _C_KK_K_WK__K_KK__K__RK_KK___K____K_KK_K_K___RKC_KKKK___KKKC_K_W _C_KK_KK__W____KC__KKK__KKK___K___KKK_KK_K_KKW__K_KR_KK_KK__KKK_ R__KKK__KKKKKK__K_KKKKK_K__K_K___KKW_________KK_K___KKK___KK.K_C KKKKKKW_____K__K_KKC_KCKK_K_KK_K__KK__K___K__KK_KK__________KK__ __K___KK_K__K_C_KK_K___KK__KK__K__KCK_K__KK_________K_K_KK__.K__ K_CKK.CCRW__KKKKKKKKKKKC__W____K___KWK_KK_KKC______.K_K_KK_KKKC_ __KKK_W_KCKKK_K_K____CCCK__KC_KKKK_K____K_CK_K____K__K____KKK_KK KK___K_K_K__KW__KCKKKK____WKWK__K_KKRKK__C_K_KK_KK_K__KKCC_K__C_ KK_K___K_KK______K_____CKK_K_______KK_CKCK__KKKKK____K__K..K____ __KKWK_KW__KKK__K_KKK___K_KK_KKK__KK___KK___KK_KK___KK____KKWKKC KK_KKKK_................................` When I switch to a PHP-FPM setup with the Event MPM with no other variables changes, my requests/sec plummet and overall apache response is garbage. Current Time: Wednesday, 24-Oct-2012 19:51:21 CDT Restart Time: Wednesday, 24-Oct-2012 19:48:03 CDT Parent Server Config. Generation: 1 Parent Server MPM Generation: 0 Server uptime: 3 minutes 18 seconds Total accesses: 18720 - Total Traffic: 307.1 MB CPU Usage: u16.57 s4.74 cu0 cs0 - 10.8% CPU load 94.5 requests/sec - 1.6 MB/second - 16.8 kB/request 15 requests currently being processed, 49 idle workers PID Connections Threads Async connections total accepting busy idle writing keep-alive closing 11701 114 no 10 22 0 66 38 11702 134 no 5 27 0 81 48 Sum 248 15 49 0 147 86 __R_R__W___RRW________RR__R___W_W_______W_____W_____________R_R_ Is there any obvious reason anyone could think of why this would be the case. I can provide any other additional stats or server setup info to help out. Ive tried tweaking everything up and down and nothing really helps get the PHP-FPM setup anywhere near a baseic prefork/mod-php setup. Thanks!

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• Intel z77 vs h77 for intensive compiling, gaming [closed]

  - by Bilal Akhtar

  I'm in the market for a desktop motherboard (preferably ATX) that functions well with Intel i7-3770 Ivy Bridge processor at 3.4 GHz with LGA1155 socket. That processor is very fast, and it should handle all my tasks. My question is about the type of motherboard chipset I should choose to accompany it. I plan to use my rig for compiling and developing Debian package and other OS components, web development, occasional Android apps, chroots, VMs, FlightGear, other gaming but nothing serious, and heavy multitasking, all on Ubuntu. I do NOT plan to overclock, and I never will, so that's not a cause of concern for me. That said, I'm down to three chipset choices: Intel H77 Intel Z68 Intel Z77 I'm planning to go for H77 since I don't need any of the new features in Z77. I don't plan to use a second GPU and I will never overclock my CPU/GPU. My question is, will H77 based MoBos handle all my tasks well? Intel advertises that chipset as "everyday computing" but other sites say it's base functionality is the same as Z77. Intel rather advertises Z77 for "serious multitaskers, hardcore gamers and overclocking enthusiasts". But the problem with all Z77 motherboards I've seen is, they're way too expensive and their main feature seems to be overclocking, which won't be useful to me. Will I lose any raw CPU/GPU performance or HDD R/w with the H77 when comparing it to a Z77? Will heat, etc be an issue too? From what I've seen, Z77 motherboards have larger heat sinks when compared to H77 ones. Will that be an issue too, if I go with an H77 motherboard with no heat sinks for the chipset? The CPU will have a fan in both cases, of course. tl;dr When it comes to CPU/GPU performance and HDD r/w, is the Intel H77 chipset slower than the Z77? I don't care about overclocking or multiple GPUs, and for the processor, I'm set on Ivy Bridge i7-3770.

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• Nice level not working on linux

  - by xioxox

  I have some highly floating point intensive processes doing very little I/O. One is called "xspec", which calculates a numerical model and returns a floating point result back to a master process every second (via stdout). It is niced at the 19 level. I have another simple process "cpufloattest" which just does numerical computations in a tight loop. It is not niced. I have a 4-core i7 system with hyperthreading disabled. I have started 4 of each type of process. Why is the Linux scheduler (Linux 3.4.2) not properly limiting the CPU time taken up by the niced processes? Cpu(s): 56.2%us, 1.0%sy, 41.8%ni, 0.0%id, 0.0%wa, 0.9%hi, 0.1%si, 0.0%st Mem: 12297620k total, 12147472k used, 150148k free, 831564k buffers Swap: 2104508k total, 71172k used, 2033336k free, 4753956k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 32399 jss 20 0 44728 32m 772 R 62.7 0.3 4:17.93 cpufloattest 32400 jss 20 0 44728 32m 744 R 53.1 0.3 4:14.17 cpufloattest 32402 jss 20 0 44728 32m 744 R 51.1 0.3 4:14.09 cpufloattest 32398 jss 20 0 44728 32m 744 R 48.8 0.3 4:15.44 cpufloattest 3989 jss 39 19 1725m 690m 7744 R 44.1 5.8 1459:59 xspec 3981 jss 39 19 1725m 689m 7744 R 42.1 5.7 1459:34 xspec 3985 jss 39 19 1725m 689m 7744 R 42.1 5.7 1460:51 xspec 3993 jss 39 19 1725m 691m 7744 R 38.8 5.8 1458:24 xspec The scheduler does what I expect if I start 8 of the cpufloattest processes, with 4 of them niced (i.e. 4 with most of the CPU, and 4 with very little)

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• Xorg eating up too much RAM on Ubuntu 9.10 box

  - by Yang

  Xorg is eating up 444MB of 2GB total RAM on my Ubuntu 9.10 x86_64 machine with nvidia drivers installed for the nvidia G86 (GeForce 8300 GS). top shows: top - 18:21:41 up 6 days, 2:40, 9 users, load average: 0.46, 1.12, 1.22 Tasks: 266 total, 3 running, 262 sleeping, 1 stopped, 0 zombie Cpu(s): 8.4%us, 2.0%sy, 0.0%ni, 89.1%id, 0.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 2055736k total, 1965136k used, 90600k free, 3952k buffers Swap: 979924k total, 979908k used, 16k free, 102636k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1432 root 20 0 1154m 442m 7492 S 8 22.0 32:56.97 Xorg 18462 yang 20 0 1001m 219m 8356 S 0 10.9 5:13.25 chrome 24099 yang 20 0 865m 83m 13m S 0 4.2 0:06.91 chrome xrestop shows: xrestop - Display: :0.0 Monitoring 47 clients. XErrors: 0 Pixmaps: 40430K total, Other: 142K total, All: 40573K total res-base Wins GCs Fnts Pxms Misc Pxm mem Other Total PID Identifier 1c00000 21 46 1 19 697 9128K 18K 9146K 3169 x-nautilus-desktop 1000000 4 3 0 17 194 9000K 4K 9004K 3134 gnome-settings-daemon 1600000 51 2 1 25 1100 7648K 28K 7676K ? compiz For comparison, here's my other Ubuntu box, which also has compiz etc. enabled but with ATI RV370 (Radeon X300SE): top - 18:18:18 up 58 days, 4:27, 9 users, load average: 0.00, 0.00, 0.00 Tasks: 224 total, 1 running, 223 sleeping, 0 stopped, 0 zombie Cpu(s): 0.3%us, 0.3%sy, 0.0%ni, 98.8%id, 0.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1024964k total, 987124k used, 37840k free, 247012k buffers Swap: 2048276k total, 94296k used, 1953980k free, 264744k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 24324 yang 20 0 61936 35m 6364 S 0 3.5 4:35.84 nxagent 1768 ntop 20 0 190m 32m 5388 S 1 3.2 283:36.15 ntop 1178 root 20 0 60588 29m 1788 S 0 3.0 5:48.89 console-kit-dae ... 1315 root 20 0 343m 4956 4020 S 0 0.5 3:43.87 Xorg Any ideas on how to get to the bottom of this? (i.e. not "Log out"/"Reboot") Thanks in advance.

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• Very slow write performance on Debian 6.0 (AMD64) with DMCRYPT/LVM/RAID1

  - by jdelic

  I'm seeing very strange performance characteristics on one of my servers. This server is running a simple two-disk software-RAID1 setup with LVM spanning /dev/md0. One of the logical volumes /dev/vg0/secure is encrypted using dmcrypt with LUKS and mounted with the sync and noatimes flag. Writing to that volume is incredibly slow at 1.8 MB/s and the CPU usage stays near 0%. There are 8 crpyto/1-8 processes running (it's a Intel Quadcore CPU). I hope that someone on serverfault has seen this before :-(. uname -a 2.6.32-5-xen-amd64 #1 SMP Tue Mar 8 00:01:30 UTC 2011 x86_64 GNU/Linux Interestingly, when I read from the device I get good performance numbers: reading without encryption: $ dd if=/dev/vg0/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 68.8951 s, 95.1 MB/s reading with encryption: $ dd if=/dev/mapper/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 69.7116 s, 94.0 MB/s However, when I try to write to the device: $ dd if=/dev/zero of=./test bs=64k 8809+0 records in 8809+0 records out 577306624 bytes (577 MB) copied, 321.861 s, 1.8 MB/s Also, when I read I see CPU usage, when I write, the CPU stays at almost 0% usage. Here is output of cryptsetup luksDump: LUKS header information for /dev/vg0/secure Version: 1 Cipher name: aes Cipher mode: cbc-essiv:sha256 Hash spec: sha1 Payload offset: 2056 MK bits: 256 MK digest: dd 62 b9 a5 bf 6c ec 23 36 22 92 4c 39 f8 d6 5d c1 3a b7 37 MK salt: cc 2e b3 d9 fb e3 86 a1 bb ab eb 9d 65 df b3 dd d9 6b f4 49 de 8f 85 7d 3b 1c 90 83 5d b2 87 e2 MK iterations: 44500 UUID: a7c9af61-d9f0-4d3f-b422-dddf16250c33 Key Slot 0: ENABLED Iterations: 178282 Salt: 60 24 cb be 5c 51 9f b4 85 64 3d f8 07 22 54 d4 1a 5f 4c bc 4b 82 76 48 d8 a2 d2 6a ee 13 d7 5d Key material offset: 8 AF stripes: 4000 Key Slot 1: DISABLED Key Slot 2: DISABLED Key Slot 3: DISABLED Key Slot 4: DISABLED Key Slot 5: DISABLED Key Slot 6: DISABLED Key Slot 7: DISABLED

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• Computer turns off unexpectedly

  - by Shahar

  My computer turns itself off unexpectedly after some time of use. It appears that this might be temperature related, but not for sure. I installed 2 tools that monitor temperature: SpeedFan and CPU Thermometer. The only definite finding is that there is a sensor (labelled temp1 in SpeedFan and CPU in CPU thermometer), which shows a temperature of 108C a second before the computer powers down. Until that moment, this sensor shows a constant temperature of 40C. I can usually reproduce the shutdown by viewing a few movies together, which cause another sensor (labelled CPU in SpeedFan) to go up to 60sC, but I do experience the problem even at times when this sensor remains low and cool. It does seem that the problem is more frequent if the computer is turned back on immediately after shutdown, but not always. I have had other hardware problems recently, which might be related: My hard disk heated up. I installed a fan on it, which worked to reduce the heat. The hard disk sensor shows around 40C. I had occasional blue screens and hard disk failures. Replacing the power supply seems to solve both these issues, but then this powerdown problem began appearing. I would appreciate any suggestions as to how to determine where the fault is, or what needs to be replaced.

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• Is there any limit to AIX 5.3 pipe size ?

  - by snowflake

  Hello, I'm in trouble while performing cat/tail/head operation on large files on Aix 5.3. When asking for a cat of several 1Go file redirected to another one: cat file1 file2 file3 > outputfile The outputfile is limited to 2Go (cat: output error and result file is 2147483647 bytes) Filesystem is jfs2. I successfully uploaded through ftp 10Go files on the filesystem without problem. I found nothing relevant in etc/security/limits: default: fsize = -1 core = 2097151 cpu = -1 data = 262144 rss = 65536 stack = 65536 nofiles = 20000 ulimit -a core file size (blocks) unlimited data seg size (kbytes) 245759 file size (blocks) unlimited max memory size (kbytes) unlimited open files 2000 pipe size (512 bytes) 64 stack size (kbytes) 32768 cpu time (seconds) unlimited max user processes 2048 virtual memory (kbytes) 278527 The problem does not occur on another AIX 5.3 server, I'm just looking for a different configuration that might be the source of the problem. /etc/security/limits on the server without the problem: default: fsize = -1 core = 2097151 cpu = -1 data = 262144 rss = 65536 stack = 65536 nofiles = 20000 ulimit -a on the server without the problem: core file size (blocks, -c) 1048575 data seg size (kbytes, -d) 131072 file size (blocks, -f) unlimited max memory size (kbytes, -m) 32768 open files (-n) 20000 pipe size (512 bytes, -p) 64 stack size (kbytes, -s) 32768 cpu time (seconds, -t) unlimited max user processes (-u) 262144 virtual memory (kbytes, -v) unlimited

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