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The performance of science applications on modern HPC equipment depends on many factors. Architectural features, individual hardware characteristics, and scheduler traits all have an impact on how a particular application performs, not only in isolation but when run in concert with other user applications. Being able to correlate system events and conditions at particular times can give insight into...
We report on initial progress towards a parallel virtual machine (PVM) implementation of the symmetric-Galerkin boundary integral method. We take advantage of software packages specifically designed to solve linear algebra problems on distributed memory parallel computers. In particular we use linear algebra routines from the ScaLAPACK, PBLAS and BLACS libraries. These routines assume a block cyclic...
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