Cover Image

Super Calculator using Compute Unified Device Architecture (CUDA)

Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing tec...

Full description

Saved in:
Bibliographic Details
Main Author: Nazlee, Anas Mohd
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS, 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/4091/1/FYP_Thesis_Anas_7290.pdf
http://utpedia.utp.edu.my/4091/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utp-utpedia.4091
record_format eprints
spelling my-utp-utpedia.40912017-01-25T09:44:13Z http://utpedia.utp.edu.my/4091/ Super Calculator using Compute Unified Device Architecture (CUDA) Nazlee, Anas Mohd TK Electrical engineering. Electronics Nuclear engineering Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. The ported source code is then optimized by managing the resources to achieve performance gain over CPU. It is found that CUDA is able to boost the performance of the system up to 69 times in Parboil Benchmark Suite. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. Direct integration guideline for porting the source code is then produced based on the two implementations. Universiti Teknologi PETRONAS, 2009-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/4091/1/FYP_Thesis_Anas_7290.pdf Nazlee, Anas Mohd (2009) Super Calculator using Compute Unified Device Architecture (CUDA). Universiti Teknologi PETRONAS,.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nazlee, Anas Mohd
Super Calculator using Compute Unified Device Architecture (CUDA)
description Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. The ported source code is then optimized by managing the resources to achieve performance gain over CPU. It is found that CUDA is able to boost the performance of the system up to 69 times in Parboil Benchmark Suite. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. Direct integration guideline for porting the source code is then produced based on the two implementations.
format Final Year Project
author Nazlee, Anas Mohd
author_facet Nazlee, Anas Mohd
author_sort Nazlee, Anas Mohd
title Super Calculator using Compute Unified Device Architecture (CUDA)
title_short Super Calculator using Compute Unified Device Architecture (CUDA)
title_full Super Calculator using Compute Unified Device Architecture (CUDA)
title_fullStr Super Calculator using Compute Unified Device Architecture (CUDA)
title_full_unstemmed Super Calculator using Compute Unified Device Architecture (CUDA)
title_sort super calculator using compute unified device architecture (cuda)
publisher Universiti Teknologi PETRONAS,
publishDate 2009
url http://utpedia.utp.edu.my/4091/1/FYP_Thesis_Anas_7290.pdf
http://utpedia.utp.edu.my/4091/
_version_ 1739831109210865664
score 13.211869

Similar Items