Mpsocbench : a benchmark for high-level evaluation of multiprocessor system-on-chip tools and methodologies
Liana Duenha, Guilherme Madalozzo, Thiago Santigo, Fernando Moraes, Rodolfo Azevedo
ARTIGO
Inglês
Agradecimentos: We would like to thank FAPESP (CEPID CCES project), CNPq (MuZoo project, 449996/2014-0), FAPESP—Microsoft Research Virtual Institute (NavScales project), and CAPES (Dinter project 352008, 2966/2014)
Abstract: Recent design methodologies and tools aim at enhancing the design productivity by providing a software development platform before defining the final MPSoC architecture details. Motivated by the lack of MPSoC virtual platforms prototyping integrating both scalable hardware and software in...
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Abstract: Recent design methodologies and tools aim at enhancing the design productivity by providing a software development platform before defining the final MPSoC architecture details. Motivated by the lack of MPSoC virtual platforms prototyping integrating both scalable hardware and software in order to create and evaluate new methodologies and tools, we present the MPSoCBench, a scalable set of MPSoCs including four different ISAs (PowerPC, MIPS, SPARC, and ARM) organized in platforms with up to 64 cores, cross-compilers, IPs, interconnections, 17 parallel versions of software from well-known benchmarks, and power consumption estimation for main components (processors, routers, memory, and caches), including DVFS support
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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
449996/2014-0
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
2966/2014
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
Fechado
Mpsocbench : a benchmark for high-level evaluation of multiprocessor system-on-chip tools and methodologies
Liana Duenha, Guilherme Madalozzo, Thiago Santigo, Fernando Moraes, Rodolfo Azevedo
Mpsocbench : a benchmark for high-level evaluation of multiprocessor system-on-chip tools and methodologies
Liana Duenha, Guilherme Madalozzo, Thiago Santigo, Fernando Moraes, Rodolfo Azevedo
Fontes
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Journal of parallel and distributed computing Vol. 95 (Sept., 2016), p. 138-157 |