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Building on more than a dozen years of stacking wins at the COMPUTEX trade show’s annual Best Choice Awards, NVIDIA was today honored with BCAs for ... Building on more than a dozen years of stacking wins at the COMPUTEX trade show’s annual Best Choice Awards, NVIDIA was today honored with BCAs for ...
PGI | Resources | FFTW Tips & Techniques
Legacy PGI SupportPGI compilers and tools have evolved into the NVIDIA HPC SDK. The NVIDIA HPC SDK includes the compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of high-performance computing (HPC) applications. PGI Support, License, and Downloads Form Existing PGI customers with a for-free license can reach out via the Cont
CUDA - PukiWiki Plus!
Link: MenuBar(23d) <li>CUDAでMC法(26d) <li>NVIDIA Parallel Nsight について(94d) <li>CUDAプログラムのVisual Studioでのコンパイル(208d) <li>Fermiについて(215d) <li>CUDAでMC法(改造版)(215d) <li>x64版CUDA上で32bitアプリケーションのビルド(224d) <li>テクスチャメモリ(236d) <li>CUDAアトミック関数(237d) <li>CUDAスレッド同期(237d) <li>CUDAとVBO(237d) <li>CUDAの数学関数(241d) <li>ストリーム(241d) <li>ページロックホストメモリ(241d) <li>リニアメモリとCUDA配列(241d) <li>OpenMPを用いてマルチGPU(296d) <li>シェアードメモリ
Video: Cuda Reaches 5th Birthday, OpenACC Ramps Up - High-Performance Computing News Analysis | insideHPC
httpv://www.youtube.com/watch?v=t8bxkdpJ-NU In this video, Nvidia’s Ian Buck talks about how the Cuda parallel computing platform turned 5 years old recently. He also describes OpenACC, a new open parallel programming standard designed to enable the millions of scientific and technical programmers to easily take advantage of the transformative power of heterogeneous CPU/GPU computing systems. Reco
CUDPP
CUDPP is the CUDA Data Parallel Primitives Library. CUDPP is a library of data-parallel algorithm primitives such as parallel prefix-sum (“scan”), parallel sort and parallel reduction. Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including sorting, stream compaction, and building data structures such as trees and summed-area tables. CUDPP r
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CUDA with OpenMPI on Ubuntu 8.04 - NVIDIA Forums