GPUs Impact on Parallel Shared Memory Systems Performance

1LAILAN M. HAJI, RIZGAR R. ZEBARI* , SUBHI R.M. ZEEBAREE, WAFAA MUSTAFA ABDUALLA, HANAN M. SHUKUR, OMAR M. AHMED

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Abstract:

In recent years the graphic processing units (GPUs) programmability has increased and this lead to use in several areas. GPUs can tackle enormous data parallel issues at a higher speed than the conventional CPU. Moreover, GPUs considered more affordable and energy-efficient than distributed systems. This paper gives a comprehensive review of the several published studies in the area of the parallel-shared memory based on the GPUs in the last few years. In addition, we represent the necessary computation time and speedup gains provided by different parallel-shared memory strategies. Moreover, in this article, a clear view and a detailed summary of such used algorithms/methods, hardware, and the results obtained of various parallel-shared memory using GPU approaches present in the literature. The maximum speedup as a performance is the main target of such researches where correlation algorithm and techniques were developed in experimental studies are reported.

Keywords:

Parallel Shared Memory, GPUs, GPGPU, Parallel Processing, Parallel Computing and Parallel Processing.

Paper Details
Month5
Year2020
Volume24
IssueIssue 8
Pages8030-8038