Wed 17 Jun 2015 14:25 - 14:50 at PLDI Main BLUE (Portland 254-255) - Parallelism Chair(s): Sara Baghsorkhi

The pursuit of computational efficiency has led to the proliferation of throughput-oriented hardware, from GPUs to increasingly-wide vector units on commodity processors and accelerators. This hardware is designed to efficiently execute data-parallel computations in a vectorized manner. However, many algorithms are more naturally expressed as divide-and-conquer, recursive, task-parallel computations; in the absence of data parallelism, it seems that such algorithms are not well-suited to throughput-oriented architectures. This paper presents a set of novel code transformations that expose the data-parallelism latent in recursive, task-parallel programs. These transformations facilitate straightforward vectorization of task-parallel programs on commodity hardware. We also present scheduling policies that maintain high utilization of vector resources while limiting space usage. Across several task-parallel benchmarks, we demonstrate both efficient vector resource utilization and substantial speedup on chips using Intel’s SSE4.2 vector units as well as accelerators using Intel’s AVX512 units.

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Wed 17 Jun

pldi2015-papers
14:00 - 15:40: Research Papers - Parallelism at PLDI Main BLUE (Portland 254-255)
Chair(s): Sara BaghsorkhiIntel Labs
pldi2015-papers143454240000014:00 - 14:25
Talk
Murali Krishna EmaniThe University of Edinburgh, Michael O'BoyleUniversity of Edinburgh
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pldi2015-papers143454390000014:25 - 14:50
Talk
Bin RenPacific Northwest National Laboratories, Youngjoon JoPurdue University, Sriram KrishnamoorthyPacific Northwest National Laboratories, Kunal AgrawalWashington University in St. Louis, Milind KulkarniPurdue University
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pldi2015-papers143454540000014:50 - 15:15
Talk
Anand VenkatUniversity of Utah, Mary HallUniversity of Utah, Michelle StroutColorado State University
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pldi2015-papers143454690000015:15 - 15:40
Talk
Dimitrios PrountzosThe University of Texas at Austin, Texas, USA, Roman ManevichBen-Gurion University of the Negev, Keshav PingaliUniversity of Texas, Austin
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