Vortrag: Prof. Friedel Hossfeld, 12.4.1999

[Maria Cherry]

                           UNIVERSITAET WIEN=20
              INSTITUT FUER SOFTWARETECHNIK UND PARALLELE SYSTEME
                                gemeinsam mit=20
                                    VCPC=20
               EUROPEAN CENTRE FOR PARALLEL COMPUTING AT VIENNA=20
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                          FWF-Projekt SFB F011 "AURORA"


         EINLADUNG ZU EINEM VORTRAG IM RAHMEN DES AURORA-KOLLOQUIUMS
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                 On Challenges of Beyond-Teraflops Computing

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 =09                 Prof. Dr. Friedel Hossfeld

                 Zentralinstitut f=FCr Angewandte Mathematik
                  John von Neumann Institut f=FCr Computing
                  Forschungszentrum J=FClich, D-52425 J=FClich

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                 ZEIT: Montag, 12. 4. 1999, 16.00 Uhr s.t.
          ORT: Institut fuer Softwaretechnik und Parallele Systeme
                   1090 Wien, Liechtensteinstrasse 22,=20
                          Seminarraum, Mezzanin


Abstract

In the forthcoming years, the large-scale computing facilities in key
research centres, university computing centres, and industrial plants will
surpass the teraflops performance barrier, since powerful new
supercomputers will be brought into the market by the manufacturers
participating in the high-performance computing race. Following in the wake
of the Accelerated Strategic Computing Initiative (ASCI) of the US
Department of Energy, the parallel architectures will be extended to
hierarchically clustered parallel computers mainly based on commodity-chip
processors and SMP nodes tying together possibly tens of thousands of
processing elements. In addition, heterogeneous computing and metacomputing
will determine future large-scale computing by interconnecting
supercomputers of diverse architectures as giant supercomputer complexes.
While offering new simulation levels in computational science and
engineering, these novel structures will challenge algorithms and
mathematical methods as well as systems and application software to an
extent that not only innovative multidisciplinary research efforts will be
necessary, but also new approaches to education in computational problem
solving.