Use este identificador para citar ou linkar para este item:
http://hdl.handle.net/1843/80548
Tipo: | Artigo de Evento |
Título: | A framework for direct and transparent data exchange of filter-stream applications in multi-GPUs architectures |
Autor(es): | Gabriel Ramos Guilherme Neri Andrade Rafael Sachetto Daniel Madeira Renan Carvalho Renato Antonio Celso Ferreira Fernando Mourão Leonardo Rocha |
Resumo: | The massive data generation has been pushing for significant advances in computing architectures, reflecting in heterogeneous architectures composed by different types of processing units. The filter-stream paradigm is typically used to exploit the parallel processing power of these new architectures. The efficiency of applications in this paradigm is achieved by exploring a set of interconnected computers (cluster) using filters and communication between them in a coordinated way. In this work we propose, implement and test a generic abstraction for direct and transparent data exchange of filter-stream applications in heterogeneous cluster with multi-GPU (Graphics Processing Units). This abstraction allows hiding from the programmers all the low-level implementation details related to GPU communication and the control related to the location of filters. Further, we consolidate such abstraction into a framework. Empirical assessments using a real application show that the proposed abstraction layer eases the implementation of filter-stream applications without compromising the overall application performance. |
Assunto: | Computação Cluster (Sistema de computador) Ciência da computação |
Idioma: | eng |
País: | Brasil |
Editor: | Universidade Federal de Minas Gerais |
Sigla da Instituição: | UFMG |
Departamento: | ICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO |
Tipo de Acesso: | Acesso Aberto |
Identificador DOI: | https://doi.org/10.1016/j.procs.2017.05.144 |
URI: | http://hdl.handle.net/1843/80548 |
Data do documento: | 9-Jun-2017 |
metadata.dc.url.externa: | https://www.sciencedirect.com/science/article/pii/S1877050917307160 |
metadata.dc.relation.ispartof: | International Conference on Computational Science |
Aparece nas coleções: | Artigo de Evento |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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A Framework for Direct and Transparent Data Exchange of Filter-stream Applications in Multi-GPUs Architectures (1).pdf | 691.88 kB | Adobe PDF | Visualizar/Abrir |
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