High Performance Computing, Computational Grid, and Numerical Libraries

Abstract

In this talk we will look at how High Performance computing has changed over the last 10-year and look toward the future in terms of trends. In addition, we advocate the `Computational Grids' to support `large-scale' applications. These must provide transparent access to the complex mix of resources - computational, networking, and storage - that can be provided through aggregation of resources. We will look at how numerical library software can be run in an adaptive fashion to take advantage of available resources.

Short Bio of the Speaker

Dr. Jack Dongarra is a Professor of Computer Science at the University of Tennessee and is an Adjunct R&D Participant in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, distributed computing, and tools for parallel computers. He was involved in the design and implementation of the open source software packages EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, ATLAS, PAPI, and Harness. He is a Fellow of the AAAS, ACM, and IEEE and a member of the National Academy of Engineering.