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  1. Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units (GPGPU-3)
  2. The Scalable Heterogeneous Computing (SHOC) benchmark suite
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Toward exascale computational science with heterogeneous processing
Parallel multiclass classification using SVMs on GPUs
Compiling Python to a hybrid execution environment
GPGPU role within a 500 TFLOPS heterogeneous cluster
The Scalable Heterogeneous Computing (SHOC) benchmark suite
Best-effort semantic document search on GPUs
Cortical architectures on a GPGPU
Modeling GPU-CPU workloads and systems
Accelerating MATLAB Image Processing Toolbox functions on GPUs
Accelerating SQL database operations on a GPU with CUDA
Implementing the PGI Accelerator model
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction
Iterative induced dipoles computation for molecular mechanics on GPUs

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The Scalable Heterogeneous Computing (SHOC) benchmark suite

Content Provider ACM Digital Library
Author Marin, Gabriel Meredith, Jeremy S. Spafford, Kyle Danalis, Anthony Roth, Philip C. Tipparaju, Vinod Vetter, Jeffrey S. McCurdy, Collin
Abstract Scalable heterogeneous computing systems, which are composed of a mix of compute devices, such as commodity multicore processors, graphics processors, reconfigurable processors, and others, are gaining attention as one approach to continuing performance improvement while managing the new challenge of energy efficiency. As these systems become more common, it is important to be able to compare and contrast architectural designs and programming systems in a fair and open forum. To this end, we have designed the Scalable HeterOgeneous Computing benchmark suite (SHOC). SHOC's initial focus is on systems containing graphics processing units (GPUs) and multi-core processors, and on the new OpenCL programming standard. SHOC is a spectrum of programs that test the performance and stability of these scalable heterogeneous computing systems. At the lowest level, SHOC uses microbenchmarks to assess architectural features of the system. At higher levels, SHOC uses application kernels to determine system-wide performance including many system features such as intranode and internode communication among devices. SHOC includes benchmark implementations in both OpenCL and CUDA in order to provide a comparison of these programming models.
Starting Page 63
Ending Page 74
Page Count 12
File Format PDF
ISBN 9781605589350
DOI 10.1145/1735688.1735702
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-03-14
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Benchmarking Graphics processors Performance Gpgpu
Content Type Text
Resource Type Article
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