HIGH PERFORMANCE COMPUTING TRENDS
AND THE COMPUTATIONAL GRID

Prof. Jack Dongarra
Department of Computer Science
University of Tennessee
Monday , April 16th, 3315 Seamans Center, 10:30 am - 11:20 am

ABSTRACT:


Today networking, distributed computing, and parallel computation research have matured to make it possible for distributed systems to support high-performance applications, but...

  • Resources are dispersed
  • Connectivity is variable
  • Dedicated access is not possible.

    • In this talk 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. The vision is of uniform, location independent, and transient access to the
  • Computational
  • Catalogued data
  • Instrument system
  • Human collaborator

    • resources of contemporary research activity in order to facilitate the solution of large-scale, complex, multi-institutional/multidisciplinary data and computational based problems. It envisages these resources being accessible through a Problem Solving Environment appropriate to the target community.

      Prof. Jack Dongarra specializes in numerical algorithms in linear algebra, parallel computing, use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He has published approximately 200 articles, papers, reports and technical memoranda and he is coauthor of several books. He is a Fellow of the AAAS, ACM, and the IEEE and a member of the National Academy of Engineering.