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2012
Springer

Sambamba: A Runtime System for Online Adaptive Parallelization

8 years 3 months ago
Sambamba: A Runtime System for Online Adaptive Parallelization
Abstract. How can we exploit a microprocessor as efficiently as possible? The “classic” approach is static optimization at compile-time, optimizing a program for all possible uses. Further optimization can only be achieved by anticipating the actual usage profile: If we know, for instance, that two computations will be independent, we can run them in parallel. In the Sambamba project, we replace anticipation by adaptation. Our runtime system provides the infrastructure for implementing runtime adaptive and speculative transformations. We demonstrate our framework in the context of adaptive parallelization. We show the fully automatic parallelization of a small irregular C program in combination with our adaptive runtime system. The result is a parallel execution which adapts to the availability of idle system resources. In our exam
Kevin Streit, Clemens Hammacher, Andreas Zeller, S
Added 20 Apr 2012
Updated 20 Apr 2012
Type Journal
Year 2012
Where CC
Authors Kevin Streit, Clemens Hammacher, Andreas Zeller, Sebastian Hack
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