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A FPGA based C runtime hardware accelerator

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Detalhes bibliográficos
Resumo:As the complexity of embedded systems, as well as the range of applications, grows, the demand for low power high-performance systems also increases. Solutions to address these issues have been presented in the literature, addressing techniques to increase performance by replacing software features, namely RTOS primitives, by hardware implementations. This paper presents an acceleration technique at a lower level: the runtime environment. Hardwiring part of a programming language’s runtime environment decreases the required time to perform a task, offering acceleration at a low-level, transparent to higher-level layers. The developed technique was implemented on a FPGA based RISC processor; experimental results showed a decrease in the time required to perform a given task of up to 16%.
Autores principais:Garcia, Paulo
Outros Autores:Salgado, Filipe; Cardoso, Paulo Francisco da Silva; Cabral, Jorge; Tavares, Adriano; Ekpanyapong, M.
Assunto:Hardware runtime acceleration FPGA based RISC processor
Ano:2011
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:As the complexity of embedded systems, as well as the range of applications, grows, the demand for low power high-performance systems also increases. Solutions to address these issues have been presented in the literature, addressing techniques to increase performance by replacing software features, namely RTOS primitives, by hardware implementations. This paper presents an acceleration technique at a lower level: the runtime environment. Hardwiring part of a programming language’s runtime environment decreases the required time to perform a task, offering acceleration at a low-level, transparent to higher-level layers. The developed technique was implemented on a FPGA based RISC processor; experimental results showed a decrease in the time required to perform a given task of up to 16%.