SCHEDULE: NOV 16-22, 2013

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Globalizing Selectively: Shared-Memory Efficiency with Address-Space Separation

SESSION: MPI Performance and Debugging

EVENT TYPE: Papers

TIME: 2:00PM - 2:30PM

SESSION CHAIR: Thomas Fahringer

AUTHOR(S):Nilesh Mahajan, Uday Pitambare, Arun Chauhan

ROOM:201/203

ABSTRACT:
It has become common for MPI-based applications to run on shared-memory machines. However, MPI semantics do not allow leveraging shared memory fully for communication between processes from within the MPI library. This paper presents an approach that combines compiler transformations with a specialized runtime system to achieve zero-copy communication whenever possible by proving certain properties statically and globalizing data selectively by altering the allocation and deallocation of communication buffers. The runtime system provides dynamic optimization, when such proofs are not possible statically, by copying data only when there are write-write or read-write conflicts. We implemented a prototype compiler, using ROSE, and evaluated it on several benchmarks. Our system produces code that performs better than MPI in most cases and no worse than MPI, tuned for shared memory, in all cases.

Chair/Author Details:

Thomas Fahringer (Chair) - University of Innsbruck

Nilesh Mahajan - Indiana University

Uday Pitambare - Indiana University

Arun Chauhan - Indiana University

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The full paper can be found in the ACM Digital Library