ScaLAPACK user's guide
A Proposal for a Heterogeneous Cluster ScaLAPACK (Dense Linear Solvers)
IEEE Transactions on Computers
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
IRREGULAR '98 Proceedings of the 5th International Symposium on Solving Irregularly Structured Problems in Parallel
Linear Algebra Algorithms in Heterogeneous Cluster of Personal Computers
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Simulation of Data Distribution Strategies for LU Factorization on Heterogeneous Machines
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
Design and Implementation of the ScaLAPACK LU, QR, and Cholesky Factorization Routines
Scientific Programming
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In this paper, we present a static data distribution strategy called Variable Group Block distribution to optimize the execution of factorization of a dense matrix on a network of heterogeneous computers. The distribution is based on a functional performance model of computers, which tries to capture different aspects of heterogeneity of the computers including the (multi-level) memory structure and paging effects.