Heterogeneous System Architecture (HSA)

Authors(3) :-Agbaje Michael .O, Bammeke Adekunle, Ohwo Onome Blaise

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.

Authors and Affiliations

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

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

  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.

Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 539-546
Manuscript Number : CSEIT1831139
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Agbaje Michael .O,Bammeke Adekunle, Ohwo Onome Blaise, "Heterogeneous System Architecture (HSA)", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1831139

Article Preview

Follow Us

Contact Us