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2008 International Conference on Parallel Architectures and Compilation Techniques (PACT) (2008)
Toronto, ON, Canada
Oct. 25, 2008 to Oct. 29, 2008
ISBN: 978-1-5090-3021-7
pp: 280-291
Manman Ren , Stanford University, USA
Ji Young Park , Stanford University, USA
Mike Houston , Stanford University, USA
Alex Aiken , Stanford University, USA
William J. Dally , Stanford University, USA
Achieving good performance on a modern machine with a multi-level memory hierarchy, and in particular on a machine with software-managed memories, requires precise tuning of programs to the machine's particular characteristics. A large program on a multi-level machine can easily expose tens or hundreds of inter-dependent parameters which require tuning, and manually searching the resultant large, non-linear space of program parameters is a tedious process of trial-and-error. In this paper we present a general framework for automatically tuning general applications to machines with software-managed memory hierarchies. We evaluate our framework by measuring the performance of benchmarks that are tuned for a range of machines with different memory hierarchy configurations: a cluster of Intel P4 Xeon processors, a single Cell processor, and a cluster of Sony Playstation3's.
Tuning, Program processors, Memory management, Space exploration, Two dimensional displays, Programming, Shape
Manman Ren, Ji Young Park, Mike Houston, Alex Aiken, William J. Dally, "A tuning framework for software-managed memory hierarchies", 2008 International Conference on Parallel Architectures and Compilation Techniques (PACT), vol. 00, no. , pp. 280-291, 2008, doi:
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