OpenCL Performance Evaluation on Multiple Operating Systems

Authors

  • Rushikesh Vidye  Department of Computer SCTR’s Pune Institute of Computer Technology, Pune, Maharashtra, India
  • Praveen Kulkarni  Assistant Professor, Department of Computer Engineering, SCTR’s Pune Institute of Computer Technology, Pune, Maharashtra, India
  • Rutik Wagh  
  • Prof. Pravin Patil  

Keywords:

OpenCL, CUDA, Metal, GPGPU, MacOS, Linux, Windows, Android.

Abstract

OpenCL is an open standard for parallel computing that enables performance portability across diverse computing platforms. In this work, we perform a systematic evaluation of OpenCL performance on several Operating System Platforms including Windows, Linux, Android and macOS. Our results provide insights into the impact of the Operating Systems on OpenCL performance and identify any potential performance bottlenecks. We also compare performance of OpenCL with other parallel computing frameworks like Nvidia’s CUDA (Compute Unified Device Architecture), Apple’s Metal framework, DirectX Compute etc. on different operating systems to better understand the trade-offs between different OSs. Our findings can help researchers and practitioners make informed decision about choosing the appropriate Operating System for their OpenCL applications and guide future development of OpenCL standard.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-04-30

Issue

Volume 9, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rushikesh Vidye, Praveen Kulkarni, Rutik Wagh, Prof. Pravin Patil, " OpenCL Performance Evaluation on Multiple Operating Systems, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.145-152, March-April-2023.