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SMYLE OpenCL: A programming framework for embedded many-core SoCs

Authors: H. Tomiyama; T. Hieda; N. Nishiyama; N. Etani; I. Taniguchi;

SMYLE OpenCL: A programming framework for embedded many-core SoCs

Abstract

Embedded SoC architecture has shifted from single-core to multi/many-core paradigm because of better power/performance efficiency. In order to exploit the potential power/performance efficiency of the many-core architecture, a parallel computing framework is necessary. OpenCL is one of the most popular parallel computing frameworks in the field of general-purpose computing on GPUs and multicore servers. However, the existing OpenCL implementations are not suitable to embedded real-time systems because of the large runtime overhead. In this paper, we describe a lightweight OpenCL framework for embedded multi/many-core SoCs. Our OpenCL framework minimizes the runtime overhead by statically creating threads and mapping them onto cores. Preliminary experiments on an FPGA prototype board with a five-core architecture shows a significant reduction in runtime overhead compared with an existing OpenCL framework.

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Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average