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Scaling Kernel Speedup to Application-Level Performance with CGRAS: Stream Program

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Title
Scaling Kernel Speedup to Application-Level Performance with CGRAS: Stream Program
Author
Seo, Seongseok
Advisor
Lee, Jongeun
Keywords
CGRA
Issue Date
2014-02
Publisher
Graduate school of UNIST
Abstract
While accelerators often generate impressive speedup at the kernel level, the speedup often do not scale to the application-level performance improvement due to several reasons. In this paper we identify key factors impacting the application-level performance of CGRA (Coarse-Grained Reconfigurable Architecture) accelerators using stream programs as the target application. As a practical remedy, we also propose a low-cost architecture extension focusing on the nested loops appearing very frequently in stream programs. We also present detailed application-level performance evaluation for the full StreamIt benchmark applications, which suggests that CGRAs can realistically accelerate stream applications by 3.6∼4.0 times on average, compared to software-only execution on a typical mobile processor.
Description
Department of Electrical Engineering
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ECE_Theses_Master
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