JUNE 18–22, 2017

Session Details

Name: Tutorial 03: Linear Algebra Software for High Performance Computing
Time: Sunday, June 18, 2017
09:00 am - 01:00 pm
Room:   Applaus
Messe Frankfurt
Breaks:08:00 am - 10:00 am Welcome Coffee
11:00 am - 11:30 am Coffee Break
11:00 am - 11:30 am Welcome Coffee
01:00 pm - 02:00 pm Lunch
Presenter:   Jack Dongarra, University of Tennessee & ORNL
  Mike Heroux, Sandia National Laboratories
  Jakub Kurzak, University of Tennessee
Today, a desktop computer with a multicore processor and a GPU accelerator can already provide a teraFLOPS of performance. This tremendous computational power can only be fully utilized with the appropriate software infrastructure. Most often a major part of the computational effort in scientific and engineering computing goes towards solving linear algebra sub-problems. This tutorial surveys the state-of-the-art numerical libraries for solving problems in dense and sparse linear algebra. The tutorial consists of three parts. The first part provides a brief historical look at the development of dense linear algebra libraries, from LINPACK, to LAPACK, to ScaLAPACK. The second part discusses dense linear algebra software for multicore processors (PLASMA) and hardware accelerators (MAGMA). The fourth part will presents software for sparse liner algebra, including the Trilinos package.