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We present the use of a hybrid static/dynamic scheduling strategy of the task dependency graph for direct methods used in dense numerical linear algebra. This strategy provides a balance of data locality, load balance, and low dequeue overhead. We show that the usage of this scheduling in communication avoiding dense factorization leads to significant performance gains. On a 48 core AMD Opteron NUMA...
In this paper we study algorithms for performing the LU and QR factorizations of dense matrices. Recently, two communication optimal algorithms have been introduced for distributed memory architectures, referred to as communication avoiding CALU and CAQR. In this paper we discuss two algorithms based on CAQR and CALU that are adapted to multicore architectures. They combine ideas to reduce communication...
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