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.

[img] Text (COVER)
14.K1.0051 Kwek Benny Kurniawan.COVER.pdf

Download (889kB)
[img] Text (BAB I)
14.K1.0051 Kwek Benny Kurniawan.BAB I.pdf

Download (550kB)
[img] Text (BAB II)
14.K1.0051 Kwek Benny Kurniawan.BAB II.pdf
Restricted to Registered users only

Download (550kB)
[img] Text (BAB III)
14.K1.0051 Kwek Benny Kurniawan.BAB III.pdf

Download (548kB)
[img] Text (BAB IV)
14.K1.0051 Kwek Benny Kurniawan.BAB IV.pdf

Download (560kB)
[img] Text (BAB V)
14.K1.0051 Kwek Benny Kurniawan.BAB V.pdf

Download (600kB)
[img] Text (BAB VI)
14.K1.0051 Kwek Benny Kurniawan.BAB VI.pdf

Download (548kB)
[img] Text (DAFTAR PUSTAKA)
14.K1.0051 Kwek Benny Kurniawan.DAFTAR PUSTAKA.pdf

Download (549kB)
[img] Text (LAMPIRAN)
14.K1.0051 Kwek Benny Kurniawan.LAMPIRAN.pdf

Download (2MB)

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: 21 Jun 2018 04:27
URI: http://repository.unika.ac.id/id/eprint/16183

Actions (login required)

View Item View Item