PSBLAS 3.6 - Sparse Matrices Computation & Iterative Solvers for HPC
Date: January 20th, 2020
speaker: Fabio Durastante (CNR, Naples, Italy)
abstract: This tutorial will address the basic functionalities of the PSBLAS library for the parallelization of computationally intensive scientific applications.
We will delve into the parallel implementation of iterative solvers for sparse linear systems in a distributed memory paradigm, and look at the routines for multiplying sparse matrices by dense matrices, solving block diagonal systems with triangular diagonal entries, preprocessing sparse matrices, and several additional routines for dense matrix operations.
We will discuss both the direct usage of the library in Fortran2003 and the usage of the C interfaces.
The tutorial will include examples relative to the EoCoE-II application areas, and highlight how the PSBLAS environment can be used to obtain scalable parallel codes.
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EoCoE is a European Horizon 2020 funded project of Centre of Excellence in computing applications. It is designed to enhance numerical simulation efficiency in the international context of the High Performance Computing (HPC) challenges. It focusses its application scope towards low carbon energy domains.
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