SCHEDULE: NOV 12-18, 2011

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S08: Linear Algebra Libraries for High-Performance Computing: Scientific Computing with Multicore and Accelerators

SESSION: S08: Linear Algebra Libraries for High-Performance Computing: Scientific Computing with Multicore and Accelerators

EVENT TYPE: Tutorial

TIME: 8:30AM - 5:00PM

Presenter(s):Jack Dongarra, James Demmel, Michael Heroux, Jakub Kurzak

ROOM:

ABSTRACT:
Today, a desktops with a multicore processor and a GPU accelerator can already provide a TeraFlop/s of performance, while the performance of the high-end systems, based on multicores and accelerators, is already measured in PetaFlop/s. This tremendous computational power can only be fully utilized with the appropriate software infrastructure, both at the low end (desktop, server) and at the high end (supercomputer installation). Most often a major part of the computational effort in scientific and engineering computing goes in solving linear algebra subproblems. This tutorial surveys the state-of-the-art numerical libraries for solving problems in linear algebra, both dense and sparse. We highlight recent algorithms that minimize communication, i.e. moving data, which is much more expensive than arithmetic. The following software packages are presented: PLASMA & MAGMA for solving dense systems using multicores and accelerators, Trilinos for solving sparse systems using multicore, accelerators and distributed memory systems.

Chair/Presenter Details:

Jack Dongarra - University of Tennessee, Knoxville

James Demmel - University of California, Berkeley

Michael Heroux - Sandia National Laboratories

Jakub Kurzak - University of Tennessee

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