|Name:||Tutorial 05: Dense Linear Algebra Libraries for High Performance Computing|
|Time:||Sunday, June 22, 2014
09:00 am - 01:00 pm
|Room:||Lecture Room 12
CCL - Congress Center Leipzig
|Breaks:||08:00 am - 10:30 am Welcome Coffee|
|Presenter:||Jack Dongarra, University of Tennessee & ORNL|
|Jakub Kurzak, University of Tennessee|
|Hatem Ltaief, KAUST|
|Abstract:||Today, a desktop computer with a multicore processor and a GPU accelerator can already provide a TeraFlop/s 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 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 presents recent developments in dense linear algebra software for multicore
systems (PLASMA package/QUARK runtime), multicore processors with GPU accelerators or Xeon Phi co-processors (MAGMA package), and large, distributed memory systems, with GPU accelerators or co-processors (DPLASMA package/PaRSEC runtime).
Beginner: 50%, Intermediate: 35%, Advanced: 15%
Academia, research, industry, government.
The tutorial is suitable for a broad range of attendees, but it will be most beneficial for attendees with certain prerequisites. Specifically, attendees should have a good understanding of fundamental concepts in parallel programming. The tutorial will be of highest value to people with interest in linear algebra and some experience with packages like BLAS, LAPACK, and ScaLAPACK.