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PPOPP
2009
ACM
16 years 5 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
LCPC
2007
Springer
15 years 11 months ago
Pillar: A Parallel Implementation Language
Abstract. As parallelism in microprocessors becomes mainstream, new programming languages and environments are emerging to meet the challenges of parallel programming. To support r...
Todd Anderson, Neal Glew, Peng Guo, Brian T. Lewis...
EUROPAR
2007
Springer
15 years 9 months ago
Domain-Specific Optimization Strategy for Skeleton Programs
Skeletal parallel programming enables us to develop parallel programs easily by composing ready-made components called skeletons. However, a simplycomposed skeleton program often l...
Kento Emoto, Kiminori Matsuzaki, Zhenjiang Hu, Mas...
177
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ASPLOS
2010
ACM
15 years 8 months ago
Butterfly analysis: adapting dataflow analysis to dynamic parallel monitoring
Online program monitoring is an effective technique for detecting bugs and security attacks in running applications. Extending these tools to monitor parallel programs is challeng...
Michelle L. Goodstein, Evangelos Vlachos, Shimin C...
IPPS
2007
IEEE
15 years 11 months ago
Programming Distributed Memory Sytems Using OpenMP
OpenMP has emerged as an important model and language extension for shared-memory parallel programming. On shared-memory platforms, OpenMP offers an intuitive, incremental approac...
Ayon Basumallik, Seung-Jai Min, Rudolf Eigenmann