File Download

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.contributor.advisor Lee, Jongeun -
dc.contributor.author Lee, Hongsik -
dc.date.accessioned 2024-01-24T16:57:47Z -
dc.date.available 2024-01-24T16:57:47Z -
dc.date.issued 2016-02 -
dc.description.abstract Coarse-Grained Reconfigurable Architectures (CGRAs), often used as coprocessors for DSP and multimedia kernels, can deliver highly energy-effcient execution for compute-intensive kernels. Simultaneously, stream applications, which consist of many actors and channels connecting them, can provide natural representations for DSP applications, and therefore be a good match for CGRAs. We present our results of mapping DSP applications written in StreamIt language to CGRAs, along with our mapping flow. One important challenge in mapping is how to manage the multitude of kernels in the application for the limited local memory of a CGRA, for which we present a novel integer linear programming-based solution. Our evaluation results demonstrate that our software and hardware optimizations can help generate highly effcient mapping of stream applications to CGRAs, enabling far more energy-effcient executions (7x worse to 50x better) compared to using state-of-theart GP-GPUs. Further, we eliminate communication overhead and reduce computation overhead using combination of sychronous/asynchronous processors and DMA. This optimization also improve performance by 17.1% on average comparing to baseline system. -
dc.description.degree Master -
dc.description Department of Electrical and Computer Engineering -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/71972 -
dc.identifier.uri http://unist.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002237165 -
dc.language eng -
dc.publisher Ulsan National Institute of Science and Technology (UNIST) -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.subject CGRA, Compiler -
dc.title Application-Level Performance Improvement for Stream Program on CGRA-based systems -
dc.type Thesis -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.