Compilation of stream programs for multicore processors that incorporate scratchpad memories

Weijia Che, Amrit Panda, Karam S. Chatha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

Abstract

The stream processing characteristics of many embedded system applications in multimedia and networking domains have led to the advent of stream based programming formats. Several multicore processors aimed at embedded domains incorporate scratchpad memories (SPM) due to their superior power consumption characteristics. The paper addresses the problem of compiling stream programs on to multicore processors that incorporate SPM. Performance optimization on SPM based processors requires effective schemes for software based management of code and/or data overlay. In the context of our problem instance the code overlay scheme impacts both the stream element to core mapping and memory available for inter-processor communication. The paper presents an integer linear programming (ILP) formulation and heuristic approach that effectively exploit the SPM to maximize the throughput of stream programs when mapped to multicore processors. The experimental results demonstrate the effectiveness of the proposed techniques by compiling StreamIt based benchmark applications on the IBM Cell processor and comparing against existing approach.

Original languageEnglish (US)
Title of host publicationDATE 10 - Design, Automation and Test in Europe
Pages1118-1123
Number of pages6
StatePublished - Jun 9 2010
EventDesign, Automation and Test in Europe Conference and Exhibition, DATE 2010 - Dresden, Germany
Duration: Mar 8 2010Mar 12 2010

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

OtherDesign, Automation and Test in Europe Conference and Exhibition, DATE 2010
CountryGermany
CityDresden
Period3/8/103/12/10

ASJC Scopus subject areas

  • Engineering(all)

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