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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