Multicore compilation strategies and challenges: An overview of parallelism and compiler technology

Mojtaba Mehrara; Thomas Jablin; Dan Upton; David I. August; Kim Hazelwood; Scott Mahlke

doi:10.1109/MSP.2009.934117

Multicore compilation strategies and challenges: An overview of parallelism and compiler technology

Mojtaba Mehrara, Thomas Jablin, Dan Upton, David I. August, Kim Hazelwood, Scott Mahlke

Research output: Contribution to journal › Review article › peer-review

30 Scopus citations

Abstract

To overcome challenges stemming from high power densities and thermal hot spots in microprocessors, multicore computing platforms have emerged as the ubiquitous computing platform from servers down through embedded systems. Unfortunately, providing multiple cores does not directly translate into increased performance or better energy efficiency for most applications. The burden is placed on software developers and tools to find and exploit coarse-grain parallelism to effectively make use of the abundance of computing resources provided by these systems. Concurrent applications are much more complex to develop than their single-threaded ancestors, thus software development tools will be critical to help programmers create both high performance and correct software. This article provides an overview of parallelism and compiler technology to help the community understand the software development challenges and opportunities for multicore signal processors.

Original language	English (US)
Pages (from-to)	55-63
Number of pages	9
Journal	IEEE Signal Processing Magazine
Volume	26
Issue number	6
DOIs	https://doi.org/10.1109/MSP.2009.934117
State	Published - 2009

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Digital signal processing
Multicore processing
Parallel processing
Thermal analysis
Ubiquitous computing

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10.1109/MSP.2009.934117

Cite this

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title = "Multicore compilation strategies and challenges: An overview of parallelism and compiler technology",

abstract = "To overcome challenges stemming from high power densities and thermal hot spots in microprocessors, multicore computing platforms have emerged as the ubiquitous computing platform from servers down through embedded systems. Unfortunately, providing multiple cores does not directly translate into increased performance or better energy efficiency for most applications. The burden is placed on software developers and tools to find and exploit coarse-grain parallelism to effectively make use of the abundance of computing resources provided by these systems. Concurrent applications are much more complex to develop than their single-threaded ancestors, thus software development tools will be critical to help programmers create both high performance and correct software. This article provides an overview of parallelism and compiler technology to help the community understand the software development challenges and opportunities for multicore signal processors.",

keywords = "Digital signal processing, Multicore processing, Parallel processing, Thermal analysis, Ubiquitous computing",

author = "Mojtaba Mehrara and Thomas Jablin and Dan Upton and August, {David I.} and Kim Hazelwood and Scott Mahlke",

note = "Funding Information: David August (august@princeton.edu) is an associate professor in the Department of Computer Science at Princeton University, where he directs the Liberty Research Group. He earned his Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign, where he worked as a member of the IMPACT research compiler group. His work has been recognized by numerous best paper awards including two IEEE Micro “Top Picks.” Kim Hazelwood (hazelwood@virginia.edu) is an assistant professor at the University of Virginia. Her research focuses on virtualization and run-time adaptation. She received her Ph.D. degree in computer science from Harvard University in 2004, followed by a postdoc at Intel, where she helped to develop the Pin dynamic instrumentation system. She has received the FEST Young Investigator Award, an NSF CAREER award, a Woodrow Wilson Career Enhancement Fellowship, and the Borg Early Career Award.",

year = "2009",

doi = "10.1109/MSP.2009.934117",

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AU - Hazelwood, Kim

AU - Mahlke, Scott

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N2 - To overcome challenges stemming from high power densities and thermal hot spots in microprocessors, multicore computing platforms have emerged as the ubiquitous computing platform from servers down through embedded systems. Unfortunately, providing multiple cores does not directly translate into increased performance or better energy efficiency for most applications. The burden is placed on software developers and tools to find and exploit coarse-grain parallelism to effectively make use of the abundance of computing resources provided by these systems. Concurrent applications are much more complex to develop than their single-threaded ancestors, thus software development tools will be critical to help programmers create both high performance and correct software. This article provides an overview of parallelism and compiler technology to help the community understand the software development challenges and opportunities for multicore signal processors.

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Multicore compilation strategies and challenges: An overview of parallelism and compiler technology

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