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  1. Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units (GPGPU-2)
  2. Accelerating linpack with CUDA on heterogenous clusters
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Accelerating cosmological data analysis with graphics processors
High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs
GPU acceleration of a production molecular docking code
Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA
Performance analysis of accelerated image registration using GPGPU
Accelerating linpack with CUDA on heterogenous clusters
hiCUDA: a high-level directive-based language for GPU programming
Architecture-aware optimization targeting multithreaded stream computing
QR decomposition on GPUs
3D finite difference computation on GPUs using CUDA
Optimization of tele-immersion codes
Understanding software approaches for GPGPU reliability

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Accelerating linpack with CUDA on heterogenous clusters

Content Provider ACM Digital Library
Author Fatica, Massimiliano
Abstract This paper describes the use of CUDA to accelerate the Linpack benchmark on heterogenous clusters, where both CPUs and GPUs are used in synergy with minor or no modifications to the original source code. A host library intercepts the calls to DGEMM and DTRSM and executes them simultaneously on both GPUs and CPU cores. An 8U cluster is able to sustain more than a Teraflop using a CUDA accelerated version of HPL.
Starting Page 46
Ending Page 51
Page Count 6
File Format PDF
ISBN 9781605585178
DOI 10.1145/1513895.1513901
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-03-08
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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