A Comparative Study of GPU Computing Techniques: A Review
Keywords:
Parallel computing technique, GPU Architecture, Memory architectureAbstract
Nowadays, time is very important in computational field. Today every field in computer science has a huge amount of data, and we need to process data to get valuable information out of it. To reduce the processing time and using of maximum capacity of processor, we divide a large computation problem in to small chunks that is processed by individual processor. Recent microprocessors, becomes possible to utilize the parallelism using multi-cores which support improved SIMD instructions. In this paper we present the GPU based of Parallel Processing architecture, working and its applications for performing fast execution of a task
References
[1] Kai Ma†, Xue Li‡, Wei Chen†, Chi Zhang‡, and Xiaorui Wang†, “GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures,” 2012 41st International Conference on Parallel Processing.
[2] Rafiqul Zaman Khan, Md Firoj Ali, “Current Trends in Parallel Computing, International Journal of Computer Applications” (0975 – 8887) Volume 59– No.2, December 2012.
[3] Bhavna Samel, Shubhrata and Prof. A.M. Ingole, “GPU Computing and Its Applications, International Research Journal of Engineering and Technology (IRJET),” Volume: 03 Issue: 04 | Apr-2016.
[4] Shuichi Asano, Tsutomu Maruyama and Yoshiki Yamaguchi, “Systems and Information Engineering,” University of Tsukuba 1-1-1 Ten-ou-dai Tsukuba Ibaraki 305-8573 JAPAN, 978-1-4244-3892-1/09/$25.00 ©2009 IEEE
[5] http://www.nvidia.com/object/cuda home.html.
[6] T. Brandes1,a, A. Arnold2, T. Soddemann1, and D. Reith1, “The European Physical Journal Special Topics,” Eur. Phys. J. Special Topics 210, 73–88 (2012)c_EDP Sciences, Springer-Verlag 2012
[7] DOI: 10.1140/epjst/e2012-01638-7
[8] Ben Cope,Department of Electrical & Electronic Engineering, Imperial College London benjamin.cope@imperial.ac.uk
[9] Gurindar Singh and Aman Kaura, “Recent Trends in Parallel Computing,” GIAN JYOTI E-JOURNAL, Volume 6, Issue 1 (Jan-Apr 2016).
[10] Bhavna Samel, Shubhrata and Prof. A.M. Ingole, “GPU Computing and Its Applications, International Research Journal of Engineering and Technology (IRJET),” Volume: 03 Issue: 04 | Apr-2016.
[11] Craig A. Lee, Member, IEEE, Samuel D. Gasster, Senior Member, IEEE, Antonio Plaza, Senior Member, IEEE, Chein-I Chang, Fellow, IEEE, and Bormin Huang, “Recent developments in High Performance Computing for Remote Sensing: A Review,” IEEE Journal of selected topics in applied earth observations and remote sensing,” VOL. 4, NO. 3, SEPTEMBER 2011.
[12] Christian Märtin, Augsburg University of Applied Sciences Augsburg, Germany, embedded world 2014, exhibition and conference
[13] Rafiqul Zaman Khan, Md Firoj Ali, “Current Trends in Parallel Computing, International Journal of Computer Applications,” (0975 – 8887) Volume 59– No.2, December 2012.
[14] Amdahl G. M. “Validity of the Single-processor Approach to Achieving Large Scale Computing Capabilities”. In AFIPS Conference Proc., Atlantic City, New Jersey, pp.483-485, 1967.
[15] https://fossbytes.com/top-5-supercomputers-of-the-world/ till july 2018.
[16] George Teodoro, Rafael Sachetto, Olcay Sertel,Metin N. Gurcan, Wagner Meira Jr., Umit Catalyurek, Renato Ferreira1, “Coordinating the Use of GPU and CPU for Improving Performance of Compute Intensive Applications,” 978-1-4244-5012-1/09/$25.00 ©2009 IEEE.
[17] L. Teot, R. Khayat, S.Qualman, G.Reaman, and D.Parham, “The Problems and Promise of Central Pathology Review: Development of a Standardized Procedure for the Children’s Oncology Group,” Pediatric and Developmental Pathology, vol. 10, no. 3, pp. 199–207, 2007.
[18] Craig A. Lee, Member, IEEE, Samuel D. Gasster, Senior Member, IEEE, Antonio Plaza, Senior Member, IEEE, Chein-I Chang, Fellow, IEEE, and Bormin Huang, “Recent Developments in High Performance Computing for Remote Sensing: A Review,” IEEE Journal of selected topics in applied earth observations and remote sensing,” VOL. 4, NO. 3, SEPTEMBER 2011.
[19] J. Nickolls and W. J. Dally, “The GPU computing era,” IEEE Micro, vol. 30, pp. 56–69, 2010.
[20] T. Balz and U. Stilla,“Hybrid GPU-based single- and double-bounce SAR simulation,” IEEE Trans. Geosci. Remote Sens.,” vol. 47,no. 10, pp. 3519–3529, 2009.
[21] http://codesandtutorials.com/hardware/computerfundamentals/cpu-block_diagram-working.php as on July 7, 2018.
[22] https://www.researchgate.net/figure/GPU-Schematic-Architecture_fig1_220489693 as on July 7, 2018
[23] https://computing.llnl.gov/tutorials/parallel_comp/#Flynn as on July 7, 2018.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
