Search Results

Search found 6387 results on 256 pages for 'cpu allocation'.

Page 181/256 | < Previous Page | 177 178 179 180 181 182 183 184 185 186 187 188  | Next Page >

  • Why Your ERP System Isn't Ready for the Next Evolution of the Enterprise

    - by ken.pulverman
      ERP has been the backbone of enterprise software.  The data held in your ERP system is core of most companies.  Efficiencies gained through the accounting and resource allocation through ERP software have literally saved companies trillions of dollars. Not only does everything seem to be fine with your ERP system, you haven't had to touch it in years.  Why aren't you ready for what comes next? Well judging by the growth rates in the space (Oracle posted only a 3% growth rate, while SAP showed a 12% decline) there hasn't been much modernization going on, just a little replacement activity. If you are like most companies, your ERP system is connected to a proprietary middleware solution that only effectively talks with a handful of other systems you might have acquired from the same vendor.   Connecting your legacy system through proprietary middleware is expensive and brittle and if you are like most companies, you were only willing to pay an SI so much before you said "enough."  So your ERP is working.  It's humming along.  You might not be able to get Order to Promise information when you take orders in your call center, but there are work arounds that work just fine. So what's the problem? The problem is that you built your business around your ERP core, and now there is such pressure to innovate your business processes to keep up that you need a whole new slew of modern apps and you need ERP data to be accessible from everywhere.   Every time you change a sales territory or a comp plan or change a benefits provider your ERP system, literally the economic brain of your business, needs to know what's going on.  And this giant need to access and provide information to your ERP is only growing. What makes matters even more challenging is that apps today come in every flavor under the Sun™.   SaaS, cloud, managed, hybrid, outsourced, composite....and they all have different integration protocols. The only easy way to get ahead of all this is to modernize the way you connect and run your applications.  Unlike the middleware solutions of yesteryear, modern middleware is effectively the operating system of the enterprise.  In the same way that you rely on Apple, Microsoft, and Google to find a video driver for your 23" monitor or to ensure the Word or Keynote runs, modern middleware takes care of intra-application connectivity and process execution.  It effectively allows you to take ERP out of the middle while ensuring connectivity to your vital data for anything you want to do.  The diagram below reflects that change.    In this model, the hegemony of ERP is over.  It too has to become a stealthy modern app to help you quickly adapt to business changes while managing vital information.  And through modern middleware it will connect to everything.  So yes ERP as we've know it is dead, but long live ERP as a connected application member of the modern enterprise. I want to Thank Andrew Zoldan, Group Vice President Oracle Manufacturing Industries Business Unit for introducing me to how some of his biggest customers have benefited by modernizing their applications infrastructure and making ERP a connected application. by John Burke, Group Vice President, Applications Business Unit

    Read the article

  • Is an ACPI GPE storm normal in an Ubuntu session?

    - by Tinellus
    In a previous question (What is a an ACPI GPE storm?), I asked about ACPI GPE storm. Looking closer to my kern.log file in /var/log/, I notice that in every session at some point (usually withing 20' after startup) a GPE storm is triggered. When I open kern.log immediately after startup, I see that the 'GPE-storm' can be triggered by anything (a copy-action, the opening of an app like Firefox or Thunderbird, etc...). This worries me. Looking for other ACPI related events in kern.log, I find these error messages. I hope someone can give some advice: Jun 10 16:33:20 Guy-VAIO kernel: [ 0.724505] ACPI FADT declares the system doesn't support PCIe ASPM, so disable it Jun 10 16:33:20 Guy-VAIO kernel: [ 0.795205] [Firmware Bug]: ACPI: BIOS _OSI(Linux) query ignored Jun 10 16:33:20 Guy-VAIO kernel: [ 1.024009] ACPI: Deprecated procfs I/F for battery is loaded, please retry with CONFIG_ACPI_PROCFS_POWER cleared Jun 10 16:33:20 Guy-VAIO kernel: [ 23.140259] [Firmware Bug]: ACPI(VGA) defines _DOD but not _DOS There's also a video driver message that worries me, don't know if it's related though: Jun 10 16:33:20 Guy-VAIO kernel: [ 23.162154] fglrx: module license 'Proprietary. (C) 2002 - ATI Technologies, Starnberg, GERMANY' taints kernel. Jun 10 16:33:20 Guy-VAIO kernel: [ 23.162158] Disabling lock debugging due to kernel taint As mentioned in my previous question, I'm experiencing frequent (several times /d) application crashes, that seem random, with apport messages being sent, and less frequent (once a week or so) complete system freezes where the system becomes unresponsive to keyboard, mouse or touchpad input and the only solution is a hard reboot (press start button) My questions: what about the Firmware Bugs in ACPI? how and where do I have to 'clear CONFIG_ACPI_PROCFS_POWER'? what does it mean when fglrx 'taints the kernel', is it serious and what could I do about it? Ubuntu 12.04, 64-bit, 3.2.0-25-generic Kernel, Intel® Core™ i5-2430M CPU @ 2.40GHz × 4 Thanks

    Read the article

  • BI Applications 7.9.6.3 and EBS 12.1.3 Vision: Integrated Demo Environments

    - by Mike.Hallett(at)Oracle-BI&EPM
    If you need a combined BI-Applications + eBusiness Suite Applications demonstration environment, or for proof of concept work for your customers, then these versions of images on Oracle Virtual Box are now available for partners to download and use.  To get access to these images, Partners must be OPN members, specialised in OBI or BI-Apps.   This is an integrated Demo/Test Drive/POC/Self Enablement environment including two separate images (in English) representing the entire Oracle Stack – Applications, Middleware, Database, Operating System and Virtual Machine. Minimum Hardware requirements for each image to run separately 4GB RAM Minimum Hardware requirements for both images to run concurrently 8GB RAM Dual CPU 64 bit OS   BI Applications 7.9.6.3 Linux based and running on Oracle Virtual Box and compatible with OVM Image Content: BI Application Analytics demo data extracted from EBS 12.1.3 Vision for Financials and HR using EBS 12.1.3 Vision (image supplied) Built Integration to EBS 12.1.3 Vision image (provided). Fully functional BI Applications 7.9.6.3 software install and configuration Image can be connected to load any data from any other compatible source system. BI Apps Demo data is based on OOTB EBS Vision 12.1.3 Configured to run BI Apps data load for all other modules of EBS 12.1.3 Vision. Includes OBIEE Sample demonstration content Documented scripts for running presentations, demonstrations and Test Drives Image Size: 34GB zip, 84GB unzip.  Min Hardware 4GB RAM         EBS Vision 12.1.3 Linux based and running on Oracle Virtual Box and compatible with OVM Image Content: eBusiness Suite (EBS) Applications Vision 12.1.3 Standard Vision instance with all given setups, configurations and data Source system for BI Apps 7.9.6.3 Image Size: 76GB zip, 300GB unzip.  Min Hardware 4GB RAM Distribution: The Virtual Box images are posted on an external FTP server @ BI Applications 7.9.6.3 EBS12.1.3   To download, Partners need to request the current password to access the images.  To request the current ftp.oracle.com password and the password required to unzip the images, please email Marek Winiarski   Support Contact =  Marek Winiarski: Oracle Partner Solution Consultant

    Read the article

  • Performance Overhead of Encrypted /home

    - by SabreWolfy
    I have a netbook with Windows on the second partition and Xubuntu (/ and /home) on the third partition. I selected to encrypt my home folder during installation. The performance of the netbook is adequate for the small machine that it is, but I'm looking to improve performance. I could not find much information about the overhead (CPU or drive) associated with home partition encryption. I ran the following, writing to my home partition as well as the the mounted Windows partition: dd if=/dev/zero of=~/dummy bs=512 count=10240 dd if=/dev/zero of=/media/Windows/dummy bs=512 count=10240 The first returned 2.4MB/s and the second returned 2.5MB/s. Can I therefore deduce that there is very little overhead to home folder encryption? I'm not sure if the different filesystems will make any difference (/ and /home are ext3). Update 1 I don't know why I didn't use /tmp instead of the mounted Windows folder. Only /home is encrypted, so /tmp is unencrypted ext3. The results of the dd as above are astounding: ~: 2.4 MB/s /tmp: 42.6 MB/s Comments please? The reason I am asking this is that disk access on the netbook is noticeably slow. Update 2 I timed each of the dd operations with time: ~: real 0m2.217s user 0m0.028s sys 0m2.176s /tmp: real 0m0.152s user 0m0.012s sys 0m0.136s See also: discussion on UbuntuForums.org and bug report Edit: Output of mount: /dev/sda3 on / type ext3 (rw,noatime,errors=remount-ro,user_xattr,commit=600) proc on /proc type proc (rw,noexec,nosuid,nodev) none on /sys type sysfs (rw,noexec,nosuid,nodev) fusectl on /sys/fs/fuse/connections type fusectl (rw) none on /sys/kernel/debug type debugfs (rw) none on /sys/kernel/security type securityfs (rw) none on /dev type devtmpfs (rw,mode=0755) none on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620) none on /dev/shm type tmpfs (rw,nosuid,nodev) none on /var/run type tmpfs (rw,nosuid,mode=0755) none on /var/lock type tmpfs (rw,noexec,nosuid,nodev) binfmt_misc on /proc/sys/fs/binfmt_misc type binfmt_misc (rw,noexec,nosuid,nodev) gvfs-fuse-daemon on /home/USER/.gvfs type fuse.gvfs-fuse-daemon (rw,nosuid,nodev,user=USER) `

    Read the article

  • Why Your ERP System Isn't Ready for the Next Evolution of the Enterprise

    - by [email protected]
    By ken.pulverman on March 24, 2010 8:51 AM ERP has been the backbone of enterprise software. The data held in your ERP system is core of most companies. Efficiencies gained through the accounting and resource allocation through ERP software have literally saved companies trillions of dollars. Not only does everything seem to be fine with your ERP system, you haven't had to touch it in years. Why aren't you ready for what comes next? Well judging by the growth rates in the space (Oracle posted only a 3% growth rate, while SAP showed a 12% decline) there hasn't been much modernization going on, just a little replacement activity. If you are like most companies, your ERP system is connected to a proprietary middleware solution that only effectively talks with a handful of other systems you might have acquired from the same vendor. Connecting your legacy system through proprietary middleware is expensive and brittle and if you are like most companies, you were only willing to pay an SI so much before you said "enough." So your ERP is working. It's humming along. You might not be able to get Order to Promise information when you take orders in your call center, but there are work arounds that work just fine. So what's the problem? The problem is that you built your business around your ERP core, and now there is such pressure to innovate your business processes to keep up that you need a whole new slew of modern apps and you need ERP data to be accessible from everywhere. Every time you change a sales territory or a comp plan or change a benefits provider your ERP system, literally the economic brain of your business, needs to know what's going on. And this giant need to access and provide information to your ERP is only growing. What makes matters even more challenging is that apps today come in every flavor under the Sun™. SaaS, cloud, managed, hybrid, outsourced, composite....and they all have different integration protocols. The only easy way to get ahead of all this is to modernize the way you connect and run your applications. Unlike the middleware solutions of yesteryear, modern middleware is effectively the operating system of the enterprise. In the same way that you rely on Apple, Microsoft, and Google to find a video driver for your 23" monitor or to ensure that Word or Keynote runs, modern middleware takes care of intra-application connectivity and process execution. It effectively allows you to take ERP out of the middle while ensuring connectivity to your vital data for anything you want to do. The diagram below reflects that change. In this model, the hegemony of ERP is over. It too has to become a stealthy modern app to help you quickly adapt to business changes while managing vital information. And through modern middleware it will connect to everything. So yes ERP as we've know it is dead, but long live ERP as a connected application member of the modern enterprise. I want to Thank Andrew Zoldan, Group Vice President Oracle Manufacturing Industries Business Unit for introducing me to how some of his biggest customers have benefited by modernizing their applications infrastructure and making ERP a connected application. by John Burke, Group Vice President, Applications Business Unit

    Read the article

  • SQL SERVER – 2014 Announced and SQL Server 2014 Datasheet

    - by Pinal Dave
    Earlier this week Microsoft has announced SQL Server 2014. The release date of Trial of SQL Server to be believed later this year. Here are few of the improvements which I was looking forward are there in this release. Please note this is not the exhaustive list of the features of SQL Server 2014. This is the a quick note on the features which I was looking forward and now will be available in this release. Always On supports now 8 secondaries instead of 4 Online Indexing at partition level – this is a good thing as now index rebuilding can be done at a partition level Statistics at the partition level – this will be a huge improvement in performance In-Memory OLTP works by providing in-application memory storage for the most often used tables in SQL Server. (Read More Here) Columnstore Index can be updated – I just can’t wait for this feature (Columnstore Index) Resource Governor can control IO along with CPU and Memory Increase performance by extending SQL Server in-memory buffer pool to SSDs Backup to Azure Storage You can additionally download SQL Server 2014 Datasheet from here. Which is your favorite new feature of SQL Server 2014? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

    Read the article

  • Resolution independence - resize on the fly or ship all sizes?

    - by RecursiveCall
    My game relies heavily on textures of various sizes with some being full-screen. The game is targeted for multiple resolutions. I found that resizing textures (downsizing) works quite well for this game’s art type (it’s not Pixel Art or anything like that). I asked my artist to ensure that all textures at the edges of the screen to be created in such a way that they can safely “overflow” off screen; this means that aspect ratio is not an issue. So with no aspect ratio issues, I figured that I would simply ask my artist to create assets in very high resolution, and then resize them down to the appropriate screen resolution. The question is, when and how do I do that? Do I pre-resize everything to common resolutions in Photoshop and package all assets in the final product (increasing the size download that the user has to deal with) and then select the appropriate asset based on the detected resolution? Or do I ship with the largest set of Textures, detect the resolution on load, set a render target and draw all downsized assets to it and use that? Or for the latter, do I use some sort of a CPU-sided algorithm to resize on game load?

    Read the article

  • My sound stopped working today, how can I fix it?

    - by Oli
    This seems to be a problem with pulseaudio. I was logged in over VNC on my phone and started playing a video this caused X to crash (as sometimes happens). I restarted and suddenly the sound doesn't work. I have a Intel HDA/Realtek ALC889 00:1b.0 Audio device: Intel Corporation 82801JI (ICH10 Family) HD Audio Controller alsamixer is detecting this just fine. PulseAudio doesn't detect this alsa device so is using auto_null as the default sink (logs below). When I properly kill PulseAudio (tell it not to auto-start) direct ALSA communication with the sound card works just fine. speaker-test, for example, works. So the hardware and ALSA layers are fine IMO. In the logs, it seems that the card might be "busy" but I really don't know how or why it would be now (and never before). Is there an ALSA lock file somewhere that it still there because of my crash? I just ran sudo fuser /dev/snd/* and saw this: oli@bert:~$ sudo fuser /dev/snd/* /dev/snd/controlC0: 1884 /dev/snd/pcmC0D0c: 1884m /dev/snd/timer: 1884 A look at the process list (ps aux | grep 1884) tells me process 1884 is arecord -c 1 -f S16_LE -r 8000 -t raw. No idea what this is or why it's running. When I try and kill arecord (as root), it just respawns and rebinds on the hardware. I'm in a very annoying situation where I don't know what is going on and don't know how to find out. I'm open to all suggestions to get this working again. Fire away. And here's what I get when I stop PA auto-loading, kill it and then start it with -vvvv. oli@bert:~$ pulseaudio -vvvvv I: main.c: setrlimit(RLIMIT_NICE, (31, 31)) failed: Operation not permitted I: main.c: setrlimit(RLIMIT_RTPRIO, (9, 9)) failed: Operation not permitted D: core-rtclock.c: Timer slack is set to 50 us. D: core-util.c: RealtimeKit worked. I: core-util.c: Successfully gained nice level -11. I: main.c: This is PulseAudio 0.9.21-63-gd3efa-dirty D: main.c: Compilation host: x86_64-pc-linux-gnu D: main.c: Compilation CFLAGS: -g -O2 -g -Wall -O3 -Wall -W -Wextra -pipe -Wno-long-long -Winline -Wvla -Wno-overlength-strings -Wunsafe-loop-optimizations -Wundef -Wformat=2 -Wlogical-op -Wsign-compare -Wformat-security -Wmissing-include-dirs -Wformat-nonliteral -Wold-style-definition -Wpointer-arith -Winit-self -Wdeclaration-after-statement -Wfloat-equal -Wmissing-prototypes -Wstrict-prototypes -Wredundant-decls -Wmissing-declarations -Wmissing-noreturn -Wshadow -Wendif-labels -Wcast-align -Wstrict-aliasing=2 -Wwrite-strings -Wno-unused-parameter -ffast-math -Wp,-D_FORTIFY_SOURCE=2 -fno-common -fdiagnostics-show-option D: main.c: Running on host: Linux x86_64 2.6.38-rc3 #1 SMP Tue Feb 1 10:53:04 GMT 2011 D: main.c: Found 8 CPUs. I: main.c: Page size is 4096 bytes D: main.c: Compiled with Valgrind support: no D: main.c: Running in valgrind mode: no D: main.c: Running in VM: no D: main.c: Optimised build: yes D: main.c: All asserts enabled. I: main.c: Machine ID is 8310740c4729ef474fe5ecec4bbf5a6b. I: main.c: Session ID is 8310740c4729ef474fe5ecec4bbf5a6b-1297338553.571075-1050119523. I: main.c: Using runtime directory /home/oli/.pulse/8310740c4729ef474fe5ecec4bbf5a6b-runtime. I: main.c: Using state directory /home/oli/.pulse. I: main.c: Using modules directory /usr/lib/pulse-0.9.21/modules. I: main.c: Running in system mode: no I: main.c: Fresh high-resolution timers available! Enjoy ol' chap! I: cpu-x86.c: CPU flags: CMOV MMX SSE SSE2 SSE3 SSSE3 SSE4_1 SSE4_2 I: svolume_mmx.c: Initialising MMX optimized functions. I: remap_mmx.c: Initialising MMX optimized remappers. I: svolume_sse.c: Initialising SSE2 optimized functions. I: remap_sse.c: Initialising SSE2 optimized remappers. I: sconv_sse.c: Initialising SSE2 optimized conversions. D: memblock.c: Using shared memory pool with 1024 slots of size 64.0 KiB each, total size is 64.0 MiB, maximum usable slot size is 65472 D: database-tdb.c: Opened TDB database '/home/oli/.pulse/8310740c4729ef474fe5ecec4bbf5a6b-device-volumes.tdb' I: module-device-restore.c: Sucessfully opened database file '/home/oli/.pulse/8310740c4729ef474fe5ecec4bbf5a6b-device-volumes'. I: module.c: Loaded "module-device-restore" (index: #0; argument: ""). D: database-tdb.c: Opened TDB database '/home/oli/.pulse/8310740c4729ef474fe5ecec4bbf5a6b-stream-volumes.tdb' I: module-stream-restore.c: Sucessfully opened database file '/home/oli/.pulse/8310740c4729ef474fe5ecec4bbf5a6b-stream-volumes'. I: module.c: Loaded "module-stream-restore" (index: #1; argument: ""). D: database-tdb.c: Opened TDB database '/home/oli/.pulse/8310740c4729ef474fe5ecec4bbf5a6b-card-database.tdb' I: module-card-restore.c: Sucessfully opened database file '/home/oli/.pulse/8310740c4729ef474fe5ecec4bbf5a6b-card-database'. I: module.c: Loaded "module-card-restore" (index: #2; argument: ""). I: module.c: Loaded "module-augment-properties" (index: #3; argument: ""). D: cli-command.c: Checking for existance of '/usr/lib/pulse-0.9.21/modules/module-udev-detect.so': success D: module-udev-detect.c: /dev/snd/controlC0 is accessible: yes D: module-udev-detect.c: /devices/pci0000:00/0000:00:1b.0/sound/card0 is busy: yes I: module-udev-detect.c: Found 1 cards. I: module.c: Loaded "module-udev-detect" (index: #4; argument: ""). D: cli-command.c: Checking for existance of '/usr/lib/pulse-0.9.21/modules/module-bluetooth-discover.so': success D: dbus-util.c: Successfully connected to D-Bus system bus ba7c9a1f90b3d49d930bca2100000015 as :1.62 D: bluetooth-util.c: dbus: interface=org.freedesktop.DBus, path=/org/freedesktop/DBus, member=NameAcquired D: bluetooth-util.c: Bluetooth daemon is apparently not available. I: module.c: Loaded "module-bluetooth-discover" (index: #5; argument: ""). D: cli-command.c: Checking for existance of '/usr/lib/pulse-0.9.21/modules/module-esound-protocol-unix.so': success I: module.c: Loaded "module-esound-protocol-unix" (index: #6; argument: ""). I: module.c: Loaded "module-native-protocol-unix" (index: #7; argument: ""). D: cli-command.c: Checking for existance of '/usr/lib/pulse-0.9.21/modules/module-gconf.so': success I: module.c: Loaded "module-gconf" (index: #8; argument: ""). I: module-default-device-restore.c: Saved default sink 'auto_null' not existant, not restoring default sink setting. I: module-default-device-restore.c: Saved default source 'auto_null.monitor' not existant, not restoring default source setting. I: module.c: Loaded "module-default-device-restore" (index: #9; argument: ""). I: module.c: Loaded "module-rescue-streams" (index: #10; argument: ""). D: module-always-sink.c: Autoloading null-sink as no other sinks detected. I: sink.c: Created sink 0 "auto_null" with sample spec s16le 6ch 44100Hz and channel map front-left,front-left-of-center,front-center,front-right,front-right-of-center,rear-center I: sink.c: device.description = "Dummy Output" I: sink.c: device.class = "abstract" I: sink.c: device.icon_name = "audio-card" D: core-subscribe.c: Dropped redundant event due to change event. I: source.c: Created source 0 "auto_null.monitor" with sample spec s16le 6ch 44100Hz and channel map front-left,front-left-of-center,front-center,front-right,front-right-of-center,rear-center I: source.c: device.description = "Monitor of Dummy Output" I: source.c: device.class = "monitor" I: source.c: device.icon_name = "audio-input-microphone" D: module-null-sink.c: Thread starting up I: module.c: Loaded "module-null-sink" (index: #11; argument: "sink_name=auto_null sink_properties='device.description="Dummy Output"'"). I: module.c: Loaded "module-always-sink" (index: #12; argument: ""). I: module.c: Loaded "module-intended-roles" (index: #13; argument: ""). D: module-suspend-on-idle.c: Sink auto_null becomes idle, timeout in 5 seconds. I: module.c: Loaded "module-suspend-on-idle" (index: #14; argument: ""). I: client.c: Created 0 "ConsoleKit Session /org/freedesktop/ConsoleKit/Session1" D: module-console-kit.c: Added new session /org/freedesktop/ConsoleKit/Session1 I: module.c: Loaded "module-console-kit" (index: #15; argument: ""). I: module.c: Loaded "module-position-event-sounds" (index: #16; argument: ""). D: dbus-util.c: Successfully connected to D-Bus session bus efbffc6788fad56cfd64d40c00000018 as :1.182 D: main.c: Got org.pulseaudio.Server! I: main.c: Daemon startup complete. I: client.c: Created 1 "Native client (UNIX socket client)" I: client.c: Created 2 "Native client (UNIX socket client)" D: protocol-native.c: Protocol version: remote 16, local 16 I: protocol-native.c: Got credentials: uid=1000 gid=1000 success=1 D: protocol-native.c: SHM possible: yes D: protocol-native.c: Negotiated SHM: yes D: protocol-native.c: Protocol version: remote 16, local 16 I: protocol-native.c: Got credentials: uid=1000 gid=1000 success=1 D: protocol-native.c: SHM possible: yes D: protocol-native.c: Negotiated SHM: yes D: module-augment-properties.c: Looking for .desktop file for gnome-volume-control-applet D: module-augment-properties.c: Looking for .desktop file for gnome-settings-daemon D: core-subscribe.c: Dropped redundant event due to change event. I: module-suspend-on-idle.c: Sink auto_null idle for too long, suspending ... D: sink.c: Suspend cause of sink auto_null is 0x0004, suspending Note the one section that seems to find the hardware but says it's busy (no idea if this is relevant). D: cli-command.c: Checking for existance of '/usr/lib/pulse-0.9.21/modules/module-udev-detect.so': success D: module-udev-detect.c: /dev/snd/controlC0 is accessible: yes D: module-udev-detect.c: /devices/pci0000:00/0000:00:1b.0/sound/card0 is busy: yes I: module-udev-detect.c: Found 1 cards.

    Read the article

  • Low-level GPU code and Shader Compilation

    - by ktodisco
    Bear with me, because I will raise several questions at once. I still feel, though, that overall this can be treated as one question that may be answered succinctly. I recently dove into solidifying my understanding of the assembly language, low-level memory operations, CPU structure, and program optimizations. This also sparked my interest in how higher-level shading languages, GLSL and HLSL in particular, are compiled and optimized, as well as what formats they are reduced to before machine code is generated (assuming they are not converted directly into machine code). After a bit of research into this, the best resource I've found is this presentation from ATI about the compilation of and optimizations for HLSL. I also found sample ARB assembly code. This sort of addressed my original curiosity, but it raised several other questions. The assembler code in the ATI presentation seems like it contains instructions specifically targeted for the GPU, but is this merely a hypothetical example created for the purpose of conceptual understanding, or is this code really generated during shader compilation? If so, is it possible to inspect it, or even write it in place of the higher-level syntax? My initial searches for an answer to the last question tell me that this may be disallowed, but I have not dug too deep yet. Also, along the same lines, are GLSL shader programs compiled into ARB assembly code before machine code is generated, and is it possible to write direct ARB assembly? Lastly, and perhaps what I am most interested in finding out: are there comprehensive resources on shader compilation and low-level GPU code? I have been unable to find any thus far. I ask simply because I am curious :)

    Read the article

  • Threading Overview

    - by ACShorten
    One of the major features of the batch framework is the ability to support multi-threading. The multi-threading support allows a site to increase throughput on an individual batch job by splitting the total workload across multiple individual threads. This means each thread has fine level control over a segment of the total data volume at any time. The idea behind the threading is based upon the notion that "many hands make light work". Each thread takes a segment of data in parallel and operates on that smaller set. The object identifier allocation algorithm built into the product randomly assigns keys to help ensure an even distribution of the numbers of records across the threads and to minimize resource and lock contention. The best way to visualize the concept of threading is to use a "pie" analogy. Imagine the total workset for a batch job is a "pie". If you split that pie into equal sized segments, each segment would represent an individual thread. The concept of threading has advantages and disadvantages: Smaller elapsed runtimes - Jobs that are multi-threaded finish earlier than jobs that are single threaded. With smaller amounts of work to do, jobs with threading will finish earlier. Note: The elapsed runtime of the threads is rarely proportional to the number of threads executed. Even though contention is minimized, some contention does exist for resources which can adversely affect runtime. Threads can be managed individually – Each thread can be started individually and can also be restarted individually in case of failure. If you need to rerun thread X then that is the only thread that needs to be resubmitted. Threading can be somewhat dynamic – The number of threads that are run on any instance can be varied as the thread number and thread limit are parameters passed to the job at runtime. They can also be configured using the configuration files outlined in this document and the relevant manuals.Note: Threading is not dynamic after the job has been submitted Failure risk due to data issues with threading is reduced – As mentioned earlier individual threads can be restarted in case of failure. This limits the risk to the total job if there is a data issue with a particular thread or a group of threads. Number of threads is not infinite – As with any resource there is a theoretical limit. While the thread limit can be up to 1000 threads, the number of threads you can physically execute will be limited by the CPU and IO resources available to the job at execution time. Theoretically with the objects identifiers evenly spread across the threads the elapsed runtime for the threads should all be the same. In other words, when executing in multiple threads theoretically all the threads should finish at the same time. Whilst this is possible, it is also possible that individual threads may take longer than other threads for the following reasons: Workloads within the threads are not always the same - Whilst each thread is operating on the roughly the same amounts of objects, the amount of processing for each object is not always the same. For example, an account may have a more complex rate which requires more processing or a meter has a complex amount of configuration to process. If a thread has a higher proportion of objects with complex processing it will take longer than a thread with simple processing. The amount of processing is dependent on the configuration of the individual data for the job. Data may be skewed – Even though the object identifier generation algorithm attempts to spread the object identifiers across threads there are some jobs that use additional factors to select records for processing. If any of those factors exhibit any data skew then certain threads may finish later. For example, if more accounts are allocated to a particular part of a schedule then threads in that schedule may finish later than other threads executed. Threading is important to the success of individual jobs. For more guidelines and techniques for optimizing threading refer to Multi-Threading Guidelines in the Batch Best Practices for Oracle Utilities Application Framework based products (Doc Id: 836362.1) whitepaper available from My Oracle Support

    Read the article

  • .NET Demon 1.0 Released

    - by theo.spears
    Today we're officially releasing version 1.0 of .NET Demon, the Visual Studio Extension Alex Davies and I have been working on for the last 6 months. There have been beta versions available for a while, but we have now released the first "official" version and made it available to purchase. If you haven't yet tried the tool, it's all about reducing the time between when you write a line of code and when you are able to try it out so you don't have to wait: Continuous compilation We use spare CPU cycles on your machine to compile your code in the background when you make changes, so assemblies are up to date whenever you want to run them. Some clever logic means we only recompile code which may have been affected by your changes. Continuous save .NET Demon can perform background saving, so you don't lose any work in case of crashes or power failures, and are less likely to forget to commit changed files. Continuous testing (Experimental) The testing tool in .NET Demon watches which code you change in your solution, and automatically reruns tests which are impacted, so you learn about any breaking changes as quickly as possible. It also gives you inline test coverage information inside Visual Studio. Continuous testing is still experimental - it will work fine in many cases, but we know it's not yet perfect. Releasing version 1.0 doesn't mean we're pausing development or pushing out improvements. We will still be regularly providing new versions with improved functionality and fixes for any bugs people come across. Visit the .NET Demon product page to download

    Read the article

  • Elementary OS boots to a terminal (other OS) [on hold]

    - by Benjamin Watson
    Im new to this site, please forgive me if I missed some posting protocol of some sort. I am attempting to install Luna on my samsung s2 laptop (a8 amd radeon 7640g) and when I click on try luna, it just pulls up a terminal after the insignia (curvy E). When I install it, same issue. CTRL-ALT-f7 reveals this (hand typed, sorry if there's typos) Starting preload: *starting CUPS printing spooler/server *stopping save kernel messages preload. fsck from util-linux 2.20.1 fsck from util-linux 2.20.1 dosfsck 3.0.12, 29 oct 2011 FAT32, LFN /dev/sda1: 3 files, 245/189518 clusters /dev/sda2: clean, 133841/30294016 files, 2529529/121164544 blocks Skipping profile in /etc/apparmor.d/disable: usr.sbin.rsyslogd *starting AppArmor profiles speech-dispacher disabled; edit /etc/default/speech-dispenser *stopping system V initialisation compatibility *starting system V runlevel compatability *starting apci daemon *starting anac(h)ronistic cron *starting save kernal messages *starting ntp server ntpd *starting regular background program processing damon *starting deferred execution scheduler *stopping anac(h)ronistic cron *starting LightDM Display Manager *starting bluetooth daemon *starting mDNS/DNS-SD daemon *starting CPU interrupts balancing daemon *stopping Send an event to indicate plymouth is up saned disabled ; edit /etc/default/saned *starting network connection manager *starting crash report submission daemon *checking battery state... That's it. I can't make heads or tails of it. Please note that while I've been running linux for about a year, I'm still fairly new to all of this, so try to be detailed in your explanations and/or descriptions of what I need to do. Any/all help would be appreciated. Thank you for your time.

    Read the article

  • Low hanging fruit where "a sufficiently smart compiler" is needed to get us back to Moore's Law?

    - by jamie
    Paul Graham argues that: It would be great if a startup could give us something of the old Moore's Law back, by writing software that could make a large number of CPUs look to the developer like one very fast CPU. ... The most ambitious is to try to do it automatically: to write a compiler that will parallelize our code for us. There's a name for this compiler, the sufficiently smart compiler, and it is a byword for impossibility. But is it really impossible? Can someone provide a concrete example where a paralellizing compiler would solve a pain point? Web-apps don't appear to be a problem: just run a bunch of Node processes. Real-time raytracing isn't a problem: the programmers are writing multi-threaded, SIMD assembly language quite happily (indeed, some might complain if we make it easier!). The holy grail is to be able to accelerate any program, be it MySQL, Garage Band, or Quicken. I'm looking for a middle ground: is there a real-world problem that you have experienced where a "smart-enough" compiler would have provided a real benefit, i.e that someone would pay for?

    Read the article

  • Is comparing an OO compiler to a SQL compiler/optimizer valid?

    - by Brad
    I'm now doing a lot of SQL development at my new job where as before I was doing Object Oriented desktop app stuff. I keep running across very large scripts (thousands of lines) and wanting to refactor in some way. I am seeing that SQL is a different sort of beast and it's probably fine to have these big scripts for the most part but while explaining this to me people are also insisting that the whole idea of refactoring is bad. That stuff like the .NET compiler are actually burdened by refactored code and that a big wall of code is more efficient and better design than code designed for reuse, readability and scalability. The other argument is that OO compilers are almost dangerously inefficient and don't have efficient memory management or runs too many CPU instructions compared to older "simpler" compilers and compared to SQL. Are these valid complaints? Even if some compiler like a C compiler is modestly more "efficient" (whatever that means on this high of a level without seeing code) would you want to write applications in C over C# or Java? Is comparing an OO compiler to a SQL compiler/optimizer even valid?

    Read the article

  • 12.10 visual performance using nvidia driver

    - by user100485
    My fresh ubuntu 12.10 install is slow, not something extreme but dragging windows, switching workspaces and things like that are just slow and look horrible. it feels like the fps is dropping in a game. Doing some photoshop work in windows was even a relief! This effect gets worse if I connect my external monitor. My system is an intel pentium dual core T4500 with 4gb memory and a GeForce 8200M G/integrated/SSE2 graphics chip. Nothing fancy but should be able to run ok. My "experience" in ubuntu is set to standard. (MSI cr500 laptop) I've installed the nvidia drivers, tried current and experimental and the experimental drivers seem to perform a bit better but overall bad anyway. I set the mode to adaptive in the nvidia-settings tool and it goes to maximum setting directly and doesn't come back. Using htop I found out that compiz or the X server always use a few percent of my cpu, more than I think it should and the time consumed is 5:18 for compiz, 4:33 for /usr/bin/X and 2:41 for google chrome(about 30 tabs open so not too strange I think.) What can I do to increase the visual performance cause this makes me not want to use ubuntu in public!

    Read the article

  • Failed to spawn test

    - by Lost
    Running a simple test in Ubuntu 12.04: sudo lxc-execute -n test /bin/bash -l debug -o outout Got error message: lxc-execute: failed to spawn 'test' cat outout: lxc-execute 1347053658.113 DEBUG lxc_start - sigchild handler set lxc-execute 1347053658.113 INFO lxc_start - 'test' is initialized lxc-execute 1347053658.366 DEBUG lxc_start - Dropping cap_sys_boot and watching utmp lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/' (rootfs) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/sys' (sysfs) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/proc' (proc) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/dev' (devtmpfs) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/dev/pts' (devpts) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run' (tmpfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/' (ext3) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/sys/fs/fuse/connections' (fusectl) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/sys/kernel/debug' (debugfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/sys/kernel/security' (securityfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run/lock' (tmpfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run/shm' (tmpfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run/rpc_pipefs' (rpc_pipefs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/scratch/WAMC-Simulation' (nfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/share' (nfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/proj/WAMC-Simulation' (nfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/users/bhu' (nfs) lxc-execute 1347053658.367 ERROR lxc_start - failed to spawn 'test' Run command: sudo lxc-checkconfig Kernel config /proc/config.gz not found, looking in other places... Found kernel config file /boot/config-2.6.38.7-1.0emulab --- Namespaces --- Namespaces: enabled Utsname namespace: enabled Ipc namespace: enabled Pid namespace: enabled User namespace: enabled Network namespace: enabled Multiple /dev/pts instances: enabled --- Control groups --- Cgroup: enabled Cgroup namespace: enabled Cgroup device: enabled Cgroup sched: enabled Cgroup cpu account: enabled Cgroup memory controller: enabled Cgroup cpuset: enabled --- Misc --- Veth pair device: enabled Macvlan: enabled Vlan: enabled File capabilities: enabled Note : Before booting a new kernel, you can check its configuration usage : CONFIG=/path/to/config /usr/bin/lxc-checkconfig What's the problem? Thanks a lot

    Read the article

  • Performance issues with visibility detection and object transparency

    - by maul
    I'm working on a 3d game that has a view similar to classic isometric games (diablo, etc.). One of the things I'm trying to implement is the effect of turning walls transparent when the player walks behind them. By itself this is not a huge issue, but I'm having trouble determining which walls should be transparent exactly. I can't use a circle or square mask. There are a lot of cases where the wall piece at the same (relative) position has different visibility depending on the surrounding area. With the help of a friend I came up with this algorithm: Create a grid around the player that contains a lot of "visibility points" (my game is semi tile-based so I create one point for every tile on the grid) - the size of the square's side is close to the radius where I make objects transparent. I found 6x6 to be a good value, so that's 36 visibility points total. For every visibility point on the grid, check if that point is in the player's line of sight. For every visibility point that is in the LOS, cast a ray from the camera to that point and mark all objects the ray hits as transparent. This algorithm works - not perfectly, but only requires some tuning - however this is very slow. As you can see, it requries 36 ray casts minimum, but most of the time 60-70 depending on the position. That's simply too much for the CPU. Is there a better way to do this? I'm using Unity 3D but I'm not looking for an engine-specific solution.

    Read the article

  • Java ME SDK 3.0.5 is released!

    - by SungmoonCho
      Java ME SDK 3.0.5 went live! For many months, we have been working hard to fix bugs from previous version, and add a lot of new features demanded by Java ME community. You can download the new version from this link. Please see below for more information. NetBeans Integration All Java ME tools are implemented as NetBeans plugins. Device Manager Java ME SDK now supports multiple device managers. You can switch between different versions of device managers. LWUIT 1.5 Support The Resource Editor is available from the Java ME menu to help you design and organize resources for LWUIT applications. For a description of LWUIT 1.5 features, visit the LWUIT download page Network Monitor Integrated with NetBeans profiling tools, the Network Monitor now supports WMA, SIP, Bluetooth and OBEX, SATSA APDU and JCRMI, and server sockets. CPU Profiler Now uses standard NetBeans profiling facilities to view snapshots. Profiling of VM classes can also be toggled on or off. WURFL Device Database The database has been updated with more than 1000 new devices. Tracing - New tracing functionality now includes CLDC VM events, and monitors events such as exceptions, class loading, garbage collection, and methods invocation. New or updated JSR support - Includes support for JSR 234 (Advanced Multimedia Supplements), JSR 253 (Mobile Telephony API), JSR 257 (Contactless Communication API), JSR 258 (Mobile User Interface Customization API), and JSR 293 (XML API for Java ME).

    Read the article

  • Ubuntu installation on iMac

    - by Shanew
    I have an iMac configured as follows - Screen 27" CPU 3.4 GHz i7 Graphics AMD Radeon HD 6970 1024 MB I downloaded Ubuntu version 11.10 64 bit ISO and burnt that to both DVD and USB stick as per the instructions on Ubuntu's download page. Neither will boot. Symptoms are as follows - DVD: When the iMac is restarted and booted from DVD (labelled Windows which isn't mentioned in Ubuntu's website instructions) one line is displayed against a black screen displaying a message about the developer and date. After 5 minutes the message hangs and the DVD ceases to spin. USB Stick: Strangely I have to select the EFI boot CD icon which appears after holding down the Alt key. A text menu appears offering me to try Ubuntu without installing. I select this and the screen goes blank and stays blank. Any ideas? Lastly, after writing Ubuntu to DVD and USB stick, neither could be read by OSX making the instructions to eject them as per Ubuntu website's instructions useless. This might help? Thanks, Shane.

    Read the article

  • Dualboot 12.04/windows 7 After installation from USB reboot straight to Windows with no option to select ubuntu and no boot loader

    - by Alkatraz
    windows 7 home premium intel i5 2500k CPU ASUSP8Z68-V PRO Motherboard GeForce GTX 570 GPU corsair 120Gb SSD (windows 7 os) WD 1tb HDD I select the USB drive in the BIOS and boot to it and choose install. i select to manually configure partitions, partition the 200gb of unallocated space on my 1Tb HDD into 16Gb swap file 30Gb / extf4 and 154Gb /home extf4. I make sure that the boot loader is installed to corsair 120Gb SSD (where the windows boot is) and installation goes smoothly. When i reboot after install it runs through bios strait into windows. I have tried upwards of a dozen times and i have also tried with linuxmint. I have also redownloaded the ISO and used two different programs to create the live usb. the installation seems to go well as i can see the partitions i have created in the windows device manager after install http://imgur.com/Wp0V1 I currently run lubuntu on my laptop but it is not a dual boot. i'm assuming this is a boot loader issue and i am assuming that inside those partitioned files in my screenshot there is a working OS of ubuntu 12.04 i just have no way of getting to it.

    Read the article

  • Does concurrency inherently introduce "randomness" into a game?

    - by Jeff
    When a game is implemented with concurrency (as most games are), does this necessarily, by its very nature, introduce an element of randomness into the game that is outside of the players' control? Note that when I use the word "random", I'm not meaning to launch into a philosophical debate about the deterministic nature of the system. I understand that concurrency is deterministic in the sense that the operating system decides which processes to allow time on the CPU and in what order (or the JVM controls which Thread's turn it is to execute, etc). But my understanding of this is that there is no way to control or predict whether one thread's next command will execute before or after another. The reason I'm asking is because this seems like a fundamental difficulty for game development where a game is supposedly designed around a player's skill. Consider a game like League of Legends. Assume that two players are battling it out. It's a very close contest between the two and it's coming down to the wire -- so much so that whoever gets their last attack off will be the one to kill the other and win the game for their team. If the players are implemented using concurrency and the situation really was like this, is it essentially out of the players' hands at this point? Is the outcome of this match all up to whatever system is arbitrarily deciding which player's thread/process will execute next? If not, what am I misunderstanding about concurrency? If so, is there any way around this problem so that a game of skill can always be a game of skill, especially in those most crucial moments?

    Read the article

  • What is a technique for 2D ray-box intersection that is suitable for old console hardware?

    - by DJCouchyCouch
    I'm working on a Sega Genesis homebrew game (it has a 7mhz 68000 CPU). I'm looking for a way to find the intersection between a particle sprite and a background tile. Particles are represented as a point with a movement vector. Background tiles are 8 x 8 pixels, with an (X,Y) position that is always located at a multiple of 8. So, really, I need to find the intersection point for a ray-box collision; I need to find out where along the edge of the tile the ray/particle hits. I have these two hard constraints: I'm working with pixel locations (integers). Floating point is too expensive. It doesn't have to be super exact, just close enough. Multiplications, divisions, dot products, et cetera, are incredibly expensive and are to be avoided. So I'm looking for an efficient algorithm that would fit those constraints. Any ideas? I'm writing it in C, so that would work, but assembly should be good as well.

    Read the article

  • Octree implementation for fustrum culling

    - by Manvis
    I'm learning modern (=3.1) OpenGL by coding a 3D turn based strategy game, using C++. The maps are composed of 100x90 3D hexagon tiles that range from 50 to 600 tris (20 different types) + any player units on those tiles. My current rendering technique involves sorting meshes by shaders they use (minimizing state changes) and then calling glDrawElementsInstanced() for drawing. Still get solid 16.6 ms/frame on my GTX 560Ti machine but the game struggles (45.45 ms/frame) on an old 8600GT card. I'm certain that using an octree and fustrum culling will help me here, but I have a few questions before I start implementing it: Is it OK for an octree node to have multiple meshes in it (e.g. can a soldier and the hex tile he's standing on end up in the same octree node)? How is one supposed to treat changes in object postion (e.g. several units are moving 3 hexes down)? I can't seem to find good a explanation on how to do it. As I've noticed, soting meshes by shaders is a really good way to save GPU. If I put node contents into, let's say, std::list and sort it before rendering, do you think I would gain any performance, or would it just create overhead on CPU's end? I know that this sounds like early optimization and implementing + testing would be the best way to find out, but perhaps someone knows from experience?

    Read the article

  • A new CAPTCHA using sentences?

    - by Xeoncross
    I was just thinking about how recaptcha is getting harder when I thought about another posible solution. Images won't last forever so we will need something else some day - like human logic or emotion. Google and others are trying grouping images by category (find the image that doesn't belong) but that requires a large amount of images and doesn't work for the blind. Anyway, what if a massive collection of text was gathered (public-domain books from each language) and a sentence was shown to the user with 1 (or 2) words that were a select box of choices? Only computers that knew correct English/Spanish/German grammar would be able to tell which of the words belonged in the sentence. Would there be any problems with this approach? I would assume that it would be easy enough for anyone that knew the language that the sentense was displayed in to figure out the answer easier than trying to read the reCAPTCHA text. Plus, storing an insane number of sentences would only take a couple gigabytes of space and wouldn't take anywhere near the CPU time creating images/audio takes. In other words, anyone could host their own captcha system with minimal impact on system performance. Is there a problem with this approach? More specifically I'm looking for the main problem with this approach. migrated from stackoverflow

    Read the article

  • Linux to Solaris @ Morgan Stanley

    - by mgerdts
    I came across this blog entry and the accompanying presentation by Robert Milkoski about his experience switching from Linux to Oracle Solaris 11 for a distributed OpenAFS file serving environment at Morgan Stanley. If you are an IT manager, the presentation will show you: Running Solaris with a support contract can cost less than running Linux (even without a support contract) because of technical advantages of Solaris. IT departments can benefit from hiring computer scientists into Systems Programmer or similar roles.  Their computer science background should be nurtured so that they can continue to deliver value (savings and opportunity) to the business as technology advances. If you are a sysadmin, developer, or somewhere in between, the presentation will show you: A presentation that explains your technical analysis can be very influential. Learning and using the non-default options of an OS can make all the difference as to whether one OS is better suited than another.  For example, see the graphs on slides 3 - 5.  The ZFS default is to not use compression. When trying to convince those that hold the purse strings that your technical direction should be taken, the financial impact can be the part that closes the deal.  See slides 6, 9, and 10.  Sometimes reducing rack space requirements can be the biggest impact because it may stave off or completely eliminate the need for facilities growth. DTrace can be used to shine light on performance problems that may be suspected but not diagnosed.  It is quite likely that these problems have existed in OpenAFS for a decade or more.  DTrace made diagnosis possible. DTrace can be used to create performance analysis tools without modifying the source of software that is under analysis.  See slides 29 - 32. Microstate accounting, visible in the prstat output on slide 37 can be used to quickly draw focus to problem areas that affect CPU saturation.  Note that prstat without -m gives a time-decayed moving average that is not nearly as useful. Instruction level probes (slides 33 - 34) are a super-easy way to identify which part of a function is hot.

    Read the article

< Previous Page | 177 178 179 180 181 182 183 184 185 186 187 188  | Next Page >