
Summary: This paper deals with load balancing of parallel algorithms for distributed-memory computers. The parallel versions of BLAS subroutines for matrix-vector product and LU factorization are considered. Two task partitioning algorithms are investigated and speed-ups are calculated. The cases of homogeneous and heterogeneous collections of computer/processors are studied, and special partitioning algorithms for heterogeneous workstation clusters are presented.
load balancing, Distributed algorithms, distributed-memory computers
load balancing, Distributed algorithms, distributed-memory computers
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