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GPU CoderA journal on programming for the GPU.
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A journal on programming for the GPU.
http://gpucoder.livejournal.com/
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GPU Coder | gpucoder.livejournal.com Reviews
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A journal on programming for the GPU.
gpucoder.livejournal.com
CUDA Device Query - GPU Coder
https://gpucoder.livejournal.com/1064.html
A journal on programming for the GPU. Feb 18th, 2009 at 4:09 PM. Code to print out the CUDA device properties:. PrintDevProp(cudaDeviceProp devProp) { printf( Major revision number:. DevProp.major); printf( Minor revision number:. DevProp.minor); printf( Name:. DevProp.name); printf( Total global memory:. DevProp.totalGlobalMem); printf( Total shared memory per block:. DevProp.sharedMemPerBlock); printf( Total registers per block:. DevProp.regsPerBlock); printf( Warp size:. I) printf( Maximum dimension.
The CUDA Compiler - GPU Coder
https://gpucoder.livejournal.com/2615.html
A journal on programming for the GPU. Feb 21st, 2009 at 10:38 PM. CUDA compiler executables on a Windows installation. The CUDA compiler is built upon the open-source Open64. Compiler. Mike Murphy of NVIDIA who worked on the CUDA compiler describes the design of the compiler in his short paper. NVIDIA's Experience With Open64. PPT]) presented at the. Open64 Workshop At CGO 2008. Is used to compile CUDA source files. It invokes other executables to accomplish the compilation. The. View my Tags page.
GPU Coder
https://gpucoder.livejournal.com/tag/syntax%20highlighting
A journal on programming for the GPU. Mar 25th, 2009 at 4:02 PM. It's hard to work with CUDA in Visual Studio without some sort of syntax highlighting. Turning on the colors on. Files is pretty easy. Here's how:. If you don't have it already. 2 Copy the file. C: Program Files NVIDIA Corporation NVIDIA CUDA SDK doc syntax highlighting visual studi. 3 Paste the file into. C: Program Files Microsoft Visual Studio 9.0 Common7 IDE. Directory. If there's already an. 4 Open Visual Studio 2008. Go to.
Local Memory - GPU Coder
https://gpucoder.livejournal.com/2193.html
A journal on programming for the GPU. Feb 21st, 2009 at 4:49 PM. Whether you are aware of it or not, your kernel could be using. In CUDA. And it might be affecting the performance of your code. The CUDA architecture diagrams in the. Also, unlike constant memory which is cached, local memory is not. Functions are merely grand macros, they are. Inlined.) The only storage with some locality are registers, which are very limited in number. PTX output. ]. NVIDIA CUDA Programming Guide. Dr Dobb's: CUDA - Super...
GPU Coder
https://gpucoder.livejournal.com/tag/compilers
A journal on programming for the GPU. Feb 21st, 2009 at 10:38 PM. CUDA compiler executables on a Windows installation. The CUDA compiler is built upon the open-source Open64. Compiler. Mike Murphy of NVIDIA who worked on the CUDA compiler describes the design of the compiler in his short paper. NVIDIA's Experience With Open64. PPT]) presented at the. Open64 Workshop At CGO 2008. Is used to compile CUDA source files. It invokes other executables to accomplish the compilation. The. View my Tags page.
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GPUCODE |
To recover your password please fill in your email address. Don't Have An Account Yet? Please fill in below form to create an account with us. Offre Spéciale 2017 : GPERP PREMIUM 90 jours d'essai gratuit. Connectez vous sur votre interface de gestion. Sécurisé par GCS 2.0. GPUERP Framework est une framework d'applications web full stack écrite en Python, Javascript, HTML / CSS avec MySQL comme backend. Intégration Automatisée des application WEB sur Mobile / ou l'inverse. Avec GPUCODE vous allez comprend...
GPU Coder
A journal on programming for the GPU. Apr 3rd, 2009 at 11:24 AM. Double-precision format. (Source: Wikipedia. There seems to be a lot of confusion surrounding double-precision floating point numbers. In CUDA. The confusion is due to several factors:. Support of double in CUDA code and mathematical functions. Support of double in CUDA hardware. Performance of double on CUDA hardware. All of the below excerpts are from the. CUDA Programming Guide v2.1. Support in CUDA hardware:. When compiling for devices ...
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GPU Compare
Selecione a GPU abaixo. Nvidia GeForce GTX TITAN*. Nvidia GeForce GTX TITAN Z. Nvidia GeForce GTX TITAN X. Nvidia GeForce GTX TITAN Black. Nvidia GeForce GTX 980 Ti. Nvidia GeForce GTX 980. Nvidia GeForce GTX 970. Nvidia Geforce GTX 960. Nvidia GeForce GTX 780 Ti. Nvidia GeForce GTX 780. Nvidia GeForce GTX 770. Nvidia GeForce GTX 760. Nvidia GeForce GTX 750 Ti. Nvidia GeForce GTX 750. Nvidia Geforce GTX 690. Nvidia Geforce GTX 680. Nvidia Geforce GTX 670. Nvidia Geforce GTX 660 Ti. Nvidia Geforce GTX 660.
gpucompute.org
Download clprimes v0.53b x86 win32/64. Clprimes v0.53b x86 win32/64 The author of this software is Tero Ojanpera (a.k.a. tertsi) FAQ - - Q: What is the purpose of this program? A: clprimes purpose is to use prime factorization to measure devices (processors and gpus) compute capability and stability. This program won't save us from global warming. Q: Supported compute-devices and configurations? A: Make sure you use latest drivers for compute-devices, and please don't break anything!
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