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Storage and Analysis



SCHEDULE: NOV 12-18, 2011

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A Hybrid-Hybrid Solver for Manycore Platforms

SESSION: Research Poster Reception

EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Bernd Mohr

AUTHOR(S):Sivasankaran Rajamanickam, Erik G. Boman, Michael A. Heroux

ROOM:WSCC North Galleria 2nd/3rd Floors

ABSTRACT:
With the increasing complexity of compute nodes, it is helpful to exploit multiple levels of parallelism even within a single compute node. We present ShyLU, a "hybrid-hybrid" solver for general sparse linear systems that is hybrid in two ways: First, it combines direct and iterative methods. The iterative method is based on approximate Schur complements. Second, the solver uses two levels of parallelism via hybrid programming (MPI+threads). Our solver is useful both in shared-memory environments and on large parallel computers with distributed memory (as a subdomain solver). We show the robustness of ShyLU against other algebraic preconditioners. ShyLU scales well up to 192 cores for a given problem size. We compare flat MPI performance of ShyLU against a hybrid implementation. We conclude that on present multicore nodes flat MPI is better. However, for future manycore machines (48 or more cores) hybrid/ hierarchical algorithms and implementations are important for sustained performance.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

Sivasankaran Rajamanickam - Sandia National Laboratories

Erik G. Boman - Sandia National Laboratories

Michael A. Heroux - Sandia National Laboratories

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