CPU & GPU PERFORMANCE ANALYSIS ON 2D MATRIX ADDITION, MULTIPLICATION AND REVERSAL

KURNIAWAN, KWEK BENNY (2018) CPU & GPU PERFORMANCE ANALYSIS ON 2D MATRIX ADDITION, MULTIPLICATION AND REVERSAL. Other thesis, Unika Soegijapranata Semarang.

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Abstract

ABSTRACT The GPU or Graphic Processing Unit can be used on many platforms in general GPUs are used for rendering graphics but now GPUs are general purpose parallel processors with support for easily accessible programming interfaces and industry standard languages such as c, phyton and fortran. In this study the authors will find out the comparison of CPU and GPU in computing in some task for completed the matrix calculation. To find out the comparison between CPU and GPU the author will do some test, test given to the GPU and CPU to observe the use of PU, memory and computing speed solve matrix calculations and increase the number of matrix dimensions. the results of the tests done in this paper show that asynchronous GPU is faster than sequential and thread usage for GPU needs to be adjusted for GPU load efficiency. Keyword: CUDA, Parallel Computing, Comparison

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 21 Jun 2018 04:27
Last Modified: 23 Feb 2021 07:27
URI: http://repository.unika.ac.id/id/eprint/16183

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