Heterogeneous System Architecture (HSA)

Authors

  • Agbaje Michael .O  Babcock University, Nigeria
  • Bammeke Adekunle  Babcock University, Nigeria
  • Ohwo Onome Blaise  Babcock University, Nigeria

Keywords:

heterogeneous system architecture, latency compute unit, throughput compute unit, CPU, GPU.

Abstract

The measure of computerized information being created and put away is expanding at a disturbing rate. This information is classified and handled to distil and convey data to clients crossing various businesses for example, finance, online networking, gaming and so forth. This class of workloads is alluded to as throughput computing applications. Multi-core CPUs have been viewed as reasonable for handling information in such workloads. Be that as it may, energized by high computational throughput and energy proficiency, there has been a fast reception of Graphics Processing Units (GPUs) as computing engines lately. GPU computing has risen lately as a reasonable execution stage for throughput situated applications or regions of code. GPUs began as free units for program execution however there are clear patterns towards tight-sew CPU-GPU integration. In this paper, we look to comprehend cutting edge Heterogeneous System Architecture and inspect a few key segments that influences it to emerge from other architecture designs by analyzing existing inquiries about, articles and reports bearing and future open doors for HSA systems.

References

  1. Arora, M. (2012). The Architecture and Evolution of CPU-GPU Systems for General Purpose Computing. San Diego.
  2. George Kyriazis, A. (2012). Heterogeneous System Architecture: A Technical Review.
  3. Grossman, M. (2013). Programming Models and Runtimes for Heterogeneous Systems. Houston, Texas.
  4. Hedge, M. (2013). Heterogeneous System Architecture and the Software Ecosystem.
  5. Hsu, Y., Chen, H.-Y., & Chen, C.-H. (2015). A Heterogeneous System Architecture Conformed GPU platform supporting OpenCL and OpenGL.
  6. Nickolls, J., & Kirk, D. (2009). Appendix A: Graphics and omputing GPUs.
  7. Nickolls, J., & Kirk, D. (2012). Appendix A: Graphics and Computing GPUs.
  8. Paul. (2014, August 24). The History of the Multi core processor. Retrieved from BurnWorld.com: www.burnworld.com/the-history-of-the-multi-core-processor/
  9. Power, J., Basu, A., Gu, J., Puthoor, S., Beckmann, B. M., Hill, M. D.,.Wood, D. A. (2013). Heterogeneous System Coherence for Integrated CPU-GPU Systems.
  10. Sato, T., Mori, H., Yano, R., & Hayashida, T. (2012). Importance of Single-Core Performance in the Multicore Era. Thirty-Fifth Australasian Computer Science Conference (ACSC 2012). Melbourne, Australia.

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

Downloads

Published

2018-02-28

Issue

Volume 3, Issue 3, March-April-2018

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]
Agbaje Michael .O,Bammeke Adekunle, Ohwo Onome Blaise, " Heterogeneous System Architecture (HSA), IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.539-546, March-April-2018.