dc.contributor.advisor |
Lee, Jongeun |
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dc.contributor.author |
Jeong, Seok |
- |
dc.date.accessioned |
2024-05-31T13:50:14Z |
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dc.date.available |
2024-05-31T13:50:14Z |
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dc.date.issued |
2014-02 |
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dc.description.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. |
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dc.description.degree |
Master |
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dc.description |
Department of Electrical Engineering |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/82865 |
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dc.identifier.uri |
http://unist.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001696729 |
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dc.language |
eng |
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dc.publisher |
Ulsan National Institute of Science and Technology (UNIST) |
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dc.rights.embargoReleaseDate |
9999-12-31 |
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dc.rights.embargoReleaseTerms |
9999-12-31 |
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dc.subject |
CGRA |
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dc.title |
SCALING KERNEL SPEEDUP TO APPLICATION-LEVEL PERFORMANCE WITH CGRAS |
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dc.type |
Thesis |
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