Runtime library for parallel programming in MPPA-256 manycore processor

Detalhes bibliográficos
Autor(a) principal: Luchese, Rafael Leites
Data de Publicação: 2013
Tipo de documento: Trabalho de conclusão de curso
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/86163
Resumo: The demand for high processing power together with the actual concern about power consumption has led the industry towards heterogeneous solutions, which present a good compromise between these two factors. The challenge involving this approach relies on how to develop efficient and portable applications to take advantage of the parallelism available in such architectures. Some software solutions appeared to help programmers developing code for these new class of heterogeneous processors. These solutions aim to provide an easy and flexible way to express parallelism in the applications. Some solutions such as CUDA and OpenCL present a software model and architecture that has proved to be very effective for general purpose programming on these devices. Among the architectures that have been used for heterogeneous programming, manycore processors and CPUs combined with GPGPUs stand out as the most expressive solutions, obtaining the best results. The focus of this work is one specific solution, the MPPA R -256 manycore processor, which targets high parallel processing and low power consumption. This processor integrates 256 calculating cores for general purpose programming providing good processing capabilities. As any other solution for heterogeneous computing available in the market, porting applications and developing new ones for this processor can be difficulty. As MPPA processor has unique hardware and software architectures, it increases the complexity of programming on it. The focus of this work is to study and analyze the viability of implementing a runtime to be linked to the MPPA processor, with some high level functions aiming to help programmers with the task of easily setting up the programming context and necessary features to produce software in a faster way. This study contemplates the implementation and tests realized to validate the proposed solution.
id UFRGS-2_6021a4ab5a733925251337c124115c33
oai_identifier_str oai:www.lume.ufrgs.br:10183/86163
network_acronym_str UFRGS-2
network_name_str Repositório Institucional da UFRGS
repository_id_str
spelling Luchese, Rafael LeitesCarissimi, Alexandre da Silva2014-01-18T01:53:58Z2013http://hdl.handle.net/10183/86163000910205The demand for high processing power together with the actual concern about power consumption has led the industry towards heterogeneous solutions, which present a good compromise between these two factors. The challenge involving this approach relies on how to develop efficient and portable applications to take advantage of the parallelism available in such architectures. Some software solutions appeared to help programmers developing code for these new class of heterogeneous processors. These solutions aim to provide an easy and flexible way to express parallelism in the applications. Some solutions such as CUDA and OpenCL present a software model and architecture that has proved to be very effective for general purpose programming on these devices. Among the architectures that have been used for heterogeneous programming, manycore processors and CPUs combined with GPGPUs stand out as the most expressive solutions, obtaining the best results. The focus of this work is one specific solution, the MPPA R -256 manycore processor, which targets high parallel processing and low power consumption. This processor integrates 256 calculating cores for general purpose programming providing good processing capabilities. As any other solution for heterogeneous computing available in the market, porting applications and developing new ones for this processor can be difficulty. As MPPA processor has unique hardware and software architectures, it increases the complexity of programming on it. The focus of this work is to study and analyze the viability of implementing a runtime to be linked to the MPPA processor, with some high level functions aiming to help programmers with the task of easily setting up the programming context and necessary features to produce software in a faster way. This study contemplates the implementation and tests realized to validate the proposed solution.application/pdfengProcessamento paraleloArquitetura : ComputadoresHeterogeneous computingManycore processorsMPPA R -256Runtime library for parallel programming in MPPA-256 manycore processorinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisUniversidade Federal do Rio Grande do SulInstituto de InformáticaPorto Alegre, BR-RS2013Ciência da Computação: Ênfase em Engenharia da Computação: Bachareladograduaçãoinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000910205.pdf000910205.pdfTexto completo (inglês)application/pdf819290http://www.lume.ufrgs.br/bitstream/10183/86163/1/000910205.pdfb8542e7db396a98d3db21c2e6feacfbfMD51TEXT000910205.pdf.txt000910205.pdf.txtExtracted Texttext/plain174920http://www.lume.ufrgs.br/bitstream/10183/86163/2/000910205.pdf.txt8ed16d11ecb36459499f71692ac6622aMD52THUMBNAIL000910205.pdf.jpg000910205.pdf.jpgGenerated Thumbnailimage/jpeg1008http://www.lume.ufrgs.br/bitstream/10183/86163/3/000910205.pdf.jpg193b8dc945e2a4b4111f51975ba76275MD5310183/861632021-05-07 04:37:58.455501oai:www.lume.ufrgs.br:10183/86163Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-05-07T07:37:58Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Runtime library for parallel programming in MPPA-256 manycore processor
title Runtime library for parallel programming in MPPA-256 manycore processor
spellingShingle Runtime library for parallel programming in MPPA-256 manycore processor
Luchese, Rafael Leites
Processamento paralelo
Arquitetura : Computadores
Heterogeneous computing
Manycore processors
MPPA R -256
title_short Runtime library for parallel programming in MPPA-256 manycore processor
title_full Runtime library for parallel programming in MPPA-256 manycore processor
title_fullStr Runtime library for parallel programming in MPPA-256 manycore processor
title_full_unstemmed Runtime library for parallel programming in MPPA-256 manycore processor
title_sort Runtime library for parallel programming in MPPA-256 manycore processor
author Luchese, Rafael Leites
author_facet Luchese, Rafael Leites
author_role author
dc.contributor.author.fl_str_mv Luchese, Rafael Leites
dc.contributor.advisor1.fl_str_mv Carissimi, Alexandre da Silva
contributor_str_mv Carissimi, Alexandre da Silva
dc.subject.por.fl_str_mv Processamento paralelo
Arquitetura : Computadores
topic Processamento paralelo
Arquitetura : Computadores
Heterogeneous computing
Manycore processors
MPPA R -256
dc.subject.eng.fl_str_mv Heterogeneous computing
Manycore processors
MPPA R -256
description The demand for high processing power together with the actual concern about power consumption has led the industry towards heterogeneous solutions, which present a good compromise between these two factors. The challenge involving this approach relies on how to develop efficient and portable applications to take advantage of the parallelism available in such architectures. Some software solutions appeared to help programmers developing code for these new class of heterogeneous processors. These solutions aim to provide an easy and flexible way to express parallelism in the applications. Some solutions such as CUDA and OpenCL present a software model and architecture that has proved to be very effective for general purpose programming on these devices. Among the architectures that have been used for heterogeneous programming, manycore processors and CPUs combined with GPGPUs stand out as the most expressive solutions, obtaining the best results. The focus of this work is one specific solution, the MPPA R -256 manycore processor, which targets high parallel processing and low power consumption. This processor integrates 256 calculating cores for general purpose programming providing good processing capabilities. As any other solution for heterogeneous computing available in the market, porting applications and developing new ones for this processor can be difficulty. As MPPA processor has unique hardware and software architectures, it increases the complexity of programming on it. The focus of this work is to study and analyze the viability of implementing a runtime to be linked to the MPPA processor, with some high level functions aiming to help programmers with the task of easily setting up the programming context and necessary features to produce software in a faster way. This study contemplates the implementation and tests realized to validate the proposed solution.
publishDate 2013
dc.date.issued.fl_str_mv 2013
dc.date.accessioned.fl_str_mv 2014-01-18T01:53:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bachelorThesis
format bachelorThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/86163
dc.identifier.nrb.pt_BR.fl_str_mv 000910205
url http://hdl.handle.net/10183/86163
identifier_str_mv 000910205
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/86163/1/000910205.pdf
http://www.lume.ufrgs.br/bitstream/10183/86163/2/000910205.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/86163/3/000910205.pdf.jpg
bitstream.checksum.fl_str_mv b8542e7db396a98d3db21c2e6feacfbf
8ed16d11ecb36459499f71692ac6622a
193b8dc945e2a4b4111f51975ba76275
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv
_version_ 1815447118749368320