WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 11, 2014
Hybrid-Parallel Sparse Matrix–Vector Multiplication and Iterative Linear Solvers with the Communication Library GPI
Authors: ,
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Abstract: We present a library of Krylov subspace iterative solvers built over the PGAS-type communication layer GPI. The hybrid pattern is here the appropriate choice to reveal the hierarchical parallelism of clusters with multiand many- core nodes. Our approach includes asynchronous communication and differs in many aspects from the classical one. We first present the GPI-based implementation of the sparse matrix-vector multiplication and then, using as a benchmark the numerical solution of a Poisson boundary value problem in a unit cube, we compare the performance on Intel/Infiniband and CRAY XE6 architectures of our GPI-based Conjugate Gradients and Richardson methods against the ones available in PETSc. The results show good scalability and performance of our approach, at least comparable to these of PETSc.
Keywords:
Multi-core clusters, PGAS, RDMA, GPI, hybrid-parallel iterative solvers, sparse matrix-vector multiplication, performance
Pages: 160-168
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 11, 2014, Art. #17