Enabling Technologies for Petaflops Computing (Scientific and Engineering Computation)

Sterling, Thomas, Messina, Paul, Smith, Paul H.

ISBN 10: 0262691760 / ISBN 13: 9780262691765

Edité par The MIT Press, 1995

A propos de cet article

Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.

N° de réf. du vendeur MIT-PB-VG-0262691760

Détails bibliographiques

• Titre: Enabling Technologies for Petaflops Computing (Scientific and Engineering Computation)
• Éditeur: The MIT Press
• Date de parution: 1995
• Langue: anglais
• ISBN à 10 chiffres: 0262691760
• ISBN à 13 chiffres: 9780262691765
• Reliure: Paperback
• État de l'article: Very Good
• Catalogues du vendeur:
  • 1

A propos de ce titre

Synopsis

Chapters focus on four interrelated areas: applications and algorithms, device technology, architecture and systems, and software technology.

Building a computer ten times more powerful than all the networked computing capability in the United States is the subject of this book by leading figures in the high performance computing community. It summarizes the near-term initiatives, including the technical and policy agendas for what could be a twenty-year effort to build a petaFLOP scale computer. (A FLOP—Floating Point OPeration—is a standard measure of computer performance and a PetaFLOP computer would perform a million billion of these operations per second.) Chapters focus on four interrelated areas: applications and algorithms, device technology, architecture and systems, and software technology. While a petaFLOPS machine is beyond anything within contemporary experience, early research into petaFLOPS system design and methodologies is essential to U.S. leadership in all facets of computing into the next century. The findings reported here explore new and fertile ground. Among them: construction of an effective petaFLOPS computing system will be feasible in two decades, although effectiveness and applicability will depend on dramatic cost reductions as well as innovative approaches to system software and programming methodologies; a mix of technologies such as semiconductors, optics, and possibly cryogenics will be required; and while no fundamental paradigm shift in system architecture is expected, active latency management will be essential, requiring a high degree of fine-grain parallelism and the mechanisms to exploit it. Scientific and Engineering Computation series.

À propos de l?auteur

Thomas Sterling is a Professor of Computer Science at Louisiana State University, a Faculty Associate at California Institute of Technology, and a Distinguished Visiting Scientist at Oak Ridge National Laboratory.

Paul Messina is ALD Exascale Project Director and a Senior Strategic Advisor at ALCF in the Argonne National Laboratory.