International Journal of Biometric and Bioinformatics | |
OpenGL Based Testing Tool Architecture for Exascale Computing | |
Muhammad UsmanAshraf1  | |
关键词: Exascale Computing; OpenGL; OpenGL Shading Language; GPU; CUDA; Parallelism; Exaflops.; | |
DOI : | |
学科分类:计算机科学(综合) | |
来源: Computer Science Journals | |
【 摘 要 】
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.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201904287439761ZK.pdf | 298KB | download |