A framework for comparing high performance computing technologies

Over the past decade many different technologies have become available for accelerating applications and implementing high performance computing solutions. However, the abundance of technologies and novel architectures available creates a new challenge of effectively selecting the optimal one to ach...

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Main Authors: DURAN, Randall E., CHEN, Ding, SARASWAT, Rish, HALLMARK, Aaron
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
Subjects:
HPC
GPU
Online Access:https://ink.library.smu.edu.sg/sis_research/6245
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-72482021-11-05T03:16:03Z A framework for comparing high performance computing technologies DURAN, Randall E. CHEN, Ding SARASWAT, Rish HALLMARK, Aaron Over the past decade many different technologies have become available for accelerating applications and implementing high performance computing solutions. However, the abundance of technologies and novel architectures available creates a new challenge of effectively selecting the optimal one to achieve specific project goals. This research examines the challenges of quantifying technology characteristics and application requirements, and introduces a framework for comparing and assessing the most appropriate technology. To illustrate how the framework can be applied, two use case examples related to financial services are presented that compare the suitability of multi-core CPU, GPU, and FPGA technologies. 2014-05-24T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/6245 info:doi/10.1504/IJCSE.2014.058704 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University high performance computing HPC technology selection field-programmable gate array FPGA graphics processing unit GPU multi-core processor technology comparison framework Programming Languages and Compilers
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic high performance computing
HPC
technology selection
field-programmable gate array
FPGA
graphics processing unit
GPU
multi-core processor
technology comparison framework
Programming Languages and Compilers
spellingShingle high performance computing
HPC
technology selection
field-programmable gate array
FPGA
graphics processing unit
GPU
multi-core processor
technology comparison framework
Programming Languages and Compilers
DURAN, Randall E.
CHEN, Ding
SARASWAT, Rish
HALLMARK, Aaron
A framework for comparing high performance computing technologies
description Over the past decade many different technologies have become available for accelerating applications and implementing high performance computing solutions. However, the abundance of technologies and novel architectures available creates a new challenge of effectively selecting the optimal one to achieve specific project goals. This research examines the challenges of quantifying technology characteristics and application requirements, and introduces a framework for comparing and assessing the most appropriate technology. To illustrate how the framework can be applied, two use case examples related to financial services are presented that compare the suitability of multi-core CPU, GPU, and FPGA technologies.
format text
author DURAN, Randall E.
CHEN, Ding
SARASWAT, Rish
HALLMARK, Aaron
author_facet DURAN, Randall E.
CHEN, Ding
SARASWAT, Rish
HALLMARK, Aaron
author_sort DURAN, Randall E.
title A framework for comparing high performance computing technologies
title_short A framework for comparing high performance computing technologies
title_full A framework for comparing high performance computing technologies
title_fullStr A framework for comparing high performance computing technologies
title_full_unstemmed A framework for comparing high performance computing technologies
title_sort framework for comparing high performance computing technologies
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/sis_research/6245
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