NDLI: Evaluating automatic parallelization for efficient execution on shared-memory multiprocessors

Content Provider	ACM Digital Library
Author	McKinley, Kathryn S.
Abstract	We present a parallel code generation algorithm for complete applications and a new experimental methodology that tests the efficacy of our approach. The algorithm optimizes for data locality and parallelism, reducing or eliminating false sharing. It also uses interprocedural analysis and transformations to improve the granularity of parallelism. Although the individual components of the algorithm have been published previously, their coordination is unique to this paper. For experimental validation, we do not attempt to parallelize “dusty deck” programs where many have tried and failed. Instead, we collect programs where the users tried to achieve excellent parallel performance. We apply our optimizations to sequential versions of these programs, i.e., the compiler was required to use its analysis and algorithms to parallelize the program and could not rely on user assertions that for example, a loop is parallel. With this metric, our algorithm improves or matches hand-coded parallel programs on shared-memory, bus-based parallel machines for eight of the nine programs in our test suite.
Starting Page	54
Ending Page	63
Page Count	10
File Format	PDF
ISBN	0897916654
DOI	10.1145/181181.181265
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1994-07-16
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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Evaluating automatic parallelization for efficient execution on shared-memory multiprocessors