<--- Back to Details
First PageDocument Content
Graphics hardware / Nvidia / Video cards / Parallel computing / GPU cluster / CUDA / OpenCL / Jacket / Graphics processing unit / Computing / GPGPU / Computer hardware
Date: 2009-08-05 10:14:59
Graphics hardware
Nvidia
Video cards
Parallel computing
GPU cluster
CUDA
OpenCL
Jacket
Graphics processing unit
Computing
GPGPU
Computer hardware

Add to Reading List

Source URL: www.ncsa.illinois.edu

Download Document from Source Website

Share Document on Facebook

Similar Documents

Computing / GPGPU / Computer architecture / Computer engineering / Video cards / Parallel computing / Coprocessors / Graphics hardware / Graphics processing unit / RCUDA / InfiniBand / Nvidia

Increasing Cluster Throughput while Reducing Energy Consumption for GPU Workloads Federico Silla Technical University of Valencia

DocID: 1xURo - View Document

Computing / Concurrent computing / Parallel computing / Computer architecture / GPU cluster / General-purpose computing on graphics processing units / Data parallelism / Graphics processing unit / Manycore processor / Multi-core processor / Computer cluster / Coprocessor

Data-Aware Task Scheduling on Multi-Accelerator based Platforms C´edric Augonnet, J´erˆome Clet-Ortega, Samuel Thibault, Raymond Namyst To cite this version: C´edric Augonnet, J´erˆome Clet-Ortega, Samuel Thibault,

DocID: 1rhfr - View Document

Computing / Computer architecture / Graphics hardware / Parallel computing / Computational fluid dynamics / Software / GPGPU / Computational science / General-purpose computing on graphics processing units / Lattice Boltzmann methods / GPU cluster / LBM

Computational Science and Engineering (Int. Master’s Program) ¨ Technische Universit¨at Munchen Master’s Thesis

DocID: 1qeUo - View Document

Parallel computing / GPGPU / Graphics hardware / Video cards / Application programming interfaces / General-purpose computing on graphics processing units / Graphics processing unit / Multi-core processor / OpenCL / Fermi / GPU cluster / Compute kernel

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing Tetsuya Odajima, Taisuke Boku, Mitsuhisa Sato, Toshihiro Hanawa, Yuetsu Kodama, Raymond Namyst, Samuel Thibault, Olivier Aumage To cite this

DocID: 1oSrK - View Document

Graphics hardware / GPGPU / Parallel computing / Computational neuroscience / Artificial neural networks / Convolutional neural network / Graphics processing unit / Speech recognition / GPU cluster / CUDA / Kepler / Stochastic gradient descent

FireCaffe: near-linear acceleration of deep neural network training on compute clusters Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer DeepScale∗ and UC Berkeley arXiv:1511.00175v2 [cs.CV] 8 Jan

DocID: 1oOzz - View Document