Scaling Kernel Speedup to Application-Level Performance with CGRAS: Stream Program
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- Scaling Kernel Speedup to Application-Level Performance with CGRAS: Stream Program
- Seo, Seongseok
- Lee, Jongeun
- Issue Date
- Graduate school of UNIST
- 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.
- Department of Electrical Engineering
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