Enabling GPU acceleration with messaging middleware

Enabling GPU acceleration with messaging middleware

Graphics processing units (GPUs) offer great potential for accelerating processing for a wide range of scientific and business applications. However, complexities associated with using GPU technology have limited its use in applications. This paper reviews earlier approaches improving GPU accessibil...

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Bibliographic Details
Main Authors: DURAN, Randall E., ZHANG, Li, HAYHURST, Tom
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
GPU
GPGPU
middleware messaging
CUDA
k-means clustering
ZeroMQ
stream processing
Databases and Information Systems
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/6446
https://ink.library.smu.edu.sg/context/sis_research/article/7449/viewcontent/enabling_gpu.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:Graphics processing units (GPUs) offer great potential for accelerating processing for a wide range of scientific and business applications. However, complexities associated with using GPU technology have limited its use in applications. This paper reviews earlier approaches improving GPU accessibility, and explores how integration with middleware messaging technologies can further improve the accessibility and usability of GPU-enabled platforms. The results of a proof-of-concept integration between an open-source messaging middleware platform and a general-purpose GPU platform using the CUDA framework are presented. Additional applications of this technique are identified and discussed as potential areas for further research.

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