DSpace UNL

RUN >
Faculdade de Ciências e Tecnologia (FCT) >
FCT Departamentos >
FCT: Departamento de Informática >
FCT: DI - Dissertações de Mestrado >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/7817

Title: A framework for scientific computing with GPUs
Authors: Oliveira, Luís Miguel Picciochi de
Advisor: Lourenço, João
Keywords: Job scheduling
GPGPU
OpenCL
Run-time support
Distributed computing
Scientific computing
Issue Date: 2012
Publisher: Faculdade de Ciências e Tecnologia
Abstract: Commodity hardware nowadays includes not only many-core CPUs but also Graphics Processing Units (GPUs) whose highly data-parallel computational capabilities have been growing at an exponential rate. This computational power can be used for purposes other than graphics-oriented applications, like processor-intensive algorithms as found in the scientific computing setting. This thesis proposes a framework that is capable of distributing computational jobs over a network of CPUs and GPUs alike. The source code for each job is an OpenCL kernel, and thus universal and independent from the specific architecture and CPU/GPU type where it will be executed. This approach releases the software developer from the burden of specific, customized revisions of the same applications for each type of processor/hardware, at the cost of a possibly sub-optimal but still very efficient solution. The proposed run-time scales up as more and more powerful computing resources become available, with no need to recompile the application. Experiments allowed to conclude that, although performance improvement achievements clearly depend on the nature of the problem and how it is coded, speedups in a distributed system containing both GPUs and multi-core CPUs can be up to two orders of magnitude.
Description: Dissertação para obtenção do Grau de Mestre em Engenharia Informática
URI: http://hdl.handle.net/10362/7817
Appears in Collections:FCT: DI - Dissertações de Mestrado

Files in This Item:

File Description SizeFormat
Oliveira_2011.pdf5.7 MBAdobe PDFView/Open
Statistics
View Statistics
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Universidade Nova de Lisboa  - Statistics  - Feedback
Estamos no RCAAP Governo Português separator Ministério da Educação e Ciência   Fundação para a Ciência e a Tecnologia

Financiado por:

POS_C UE