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OpenGL Based Testing Tool Architecture for Exascale Computing
Muhammad Usman Ashraf, Fathy Elbouraey Eassa
Pages - 238 - 244     |    Revised - 31-08-2015     |    Published - 30-09-2015
Volume - 9   Issue - 5    |    Publication Date - September / October 2015  Table of Contents
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KEYWORDS
Exascale Computing, OpenGL, OpenGL Shading Language, GPU, CUDA, Parallelism, Exaflops.
ABSTRACT
In next decade, for exascale high computing power and speed, new high performance computing (HPC) architectures, algorithms and corrections in existing technologies are expected. In order to achieve HPC parallelism is becoming a core emphasizing point. Keeping in view the advantages of parallelism, GPU is a unit that provides the better performance to achieve HPC in exascale computing system. So far, many programming models have been introduced to program GPU like CUDA, OpenGL, and OpenCL etc. and still there are number of limitations for these models that are required a deep glance to fix them. In order to enhance the performance in GPU programming in OpenGL, we have proposed an OpenGL based testing tool architecture for exascale computing system. This testing architecture detects the errors from OpenGL code and enforce to write the code in accurate way.
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Mr. Muhammad Usman Ashraf
Faculty of Information and Computer Technology Department of Computer Science King Abdulaziz University Jeddah, 21577 , Saudi Arabia - Saudi Arabia
m.usmanashraf@yahoo.com
Mr. Fathy Elbouraey Eassa
Faculty of Information and Computer Technology Department of Computer Science King Abdulaziz University Jeddah, 21577 , Saudi Arabia - Saudi Arabia