Revisiting the sequential programming model for the multicore era

Matthew J. Bridges; Neil Vachharajani; Yun Zhang; Thomas Jablin; David I. August

doi:10.1109/MM.2008.13

Revisiting the sequential programming model for the multicore era

Matthew J. Bridges, Neil Vachharajani, Yun Zhang, Thomas Jablin, David I. August

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

Automatic parallelization has thus far not been successful at extracting scalable parallelism from general programs. An aggressive automatic thread extraction framework, coupled with natural extensions to the sequential programming model that allow for a range of legal outcomes rather than forcing programmers to define a single legal program outcome, will let programmers achieve the performance of parallel programming via the simpler sequential model.

Original language	English (US)
Pages (from-to)	12-20
Number of pages	9
Journal	IEEE Micro
Volume	28
Issue number	1
DOIs	https://doi.org/10.1109/MM.2008.13
State	Published - Jan 2008

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Electrical and Electronic Engineering

Keywords

Automatic parallelization
Compiler-architecture interactions
Compilers
Sequential-programming model
Thread extraction

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10.1109/MM.2008.13

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title = "Revisiting the sequential programming model for the multicore era",

abstract = "Automatic parallelization has thus far not been successful at extracting scalable parallelism from general programs. An aggressive automatic thread extraction framework, coupled with natural extensions to the sequential programming model that allow for a range of legal outcomes rather than forcing programmers to define a single legal program outcome, will let programmers achieve the performance of parallel programming via the simpler sequential model.",

keywords = "Automatic parallelization, Compiler-architecture interactions, Compilers, Sequential-programming model, Thread extraction",

author = "Bridges, {Matthew J.} and Neil Vachharajani and Yun Zhang and Thomas Jablin and August, {David I.}",

note = "Funding Information: We thank the entire Liberty Research Group for their feedback during this work. Additionally, we thank the anonymous reviewers for their insightful comments. The authors acknowledge the support of the GSRC Focus Center, one of five research centers funded under the Focus Center Research Program, a Semiconductor Research Corporation program. This work has also been supported by Intel. Opinions, findings, conclusions, and recommendations expressed throughout this work are not necessarily the views of our sponsors.",

year = "2008",

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AU - Vachharajani, Neil

AU - Zhang, Yun

AU - Jablin, Thomas

AU - August, David I.

N1 - Funding Information: We thank the entire Liberty Research Group for their feedback during this work. Additionally, we thank the anonymous reviewers for their insightful comments. The authors acknowledge the support of the GSRC Focus Center, one of five research centers funded under the Focus Center Research Program, a Semiconductor Research Corporation program. This work has also been supported by Intel. Opinions, findings, conclusions, and recommendations expressed throughout this work are not necessarily the views of our sponsors.

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AB - Automatic parallelization has thus far not been successful at extracting scalable parallelism from general programs. An aggressive automatic thread extraction framework, coupled with natural extensions to the sequential programming model that allow for a range of legal outcomes rather than forcing programmers to define a single legal program outcome, will let programmers achieve the performance of parallel programming via the simpler sequential model.

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KW - Compiler-architecture interactions

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KW - Sequential-programming model

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Revisiting the sequential programming model for the multicore era

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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