Helix: Making the extraction of thread-level parallelism mainstream

Simone Campanoni; Timothy M. Jones; Glenn Holloway; Gu Yeon Wei; David Brooks

doi:10.1109/MM.2012.50

Helix: Making the extraction of thread-level parallelism mainstream

Simone Campanoni^*, Timothy M. Jones, Glenn Holloway, Gu Yeon Wei, David Brooks

^*Corresponding author for this work

Computer Science

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

16 Scopus citations

Abstract

Improving system performance increasingly depends on exploiting microprocessor parallelism, yet mainstream compilers still don't parallelize code automatically. Helix automatically parallelizes general-purpose programs without requiring any special hardware; avoids slowing down compiled programs, making it a suitable candidate for mainstream compilers; and outperforms the most similar historical technique that has been implemented in production compilers.

Original language	English (US)
Article number	6226338
Pages (from-to)	8-18
Number of pages	11
Journal	IEEE Micro
Volume	32
Issue number	4
DOIs	https://doi.org/10.1109/MM.2012.50
State	Published - 2012

Keywords

DOACROSS parallelism
extraction of coarse-grained parallelism
robustness of code optimization

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/MM.2012.50

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title = "Helix: Making the extraction of thread-level parallelism mainstream",

abstract = "Improving system performance increasingly depends on exploiting microprocessor parallelism, yet mainstream compilers still don't parallelize code automatically. Helix automatically parallelizes general-purpose programs without requiring any special hardware; avoids slowing down compiled programs, making it a suitable candidate for mainstream compilers; and outperforms the most similar historical technique that has been implemented in production compilers.",

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AU - Brooks, David

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N2 - Improving system performance increasingly depends on exploiting microprocessor parallelism, yet mainstream compilers still don't parallelize code automatically. Helix automatically parallelizes general-purpose programs without requiring any special hardware; avoids slowing down compiled programs, making it a suitable candidate for mainstream compilers; and outperforms the most similar historical technique that has been implemented in production compilers.

AB - Improving system performance increasingly depends on exploiting microprocessor parallelism, yet mainstream compilers still don't parallelize code automatically. Helix automatically parallelizes general-purpose programs without requiring any special hardware; avoids slowing down compiled programs, making it a suitable candidate for mainstream compilers; and outperforms the most similar historical technique that has been implemented in production compilers.

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Helix: Making the extraction of thread-level parallelism mainstream

Abstract

Keywords

ASJC Scopus subject areas

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