Parallel symbolic computing : languages, systems, and applications : US/Japan Workshop, Cambridge, MA, USA, October 14-17, 1992 : proceedings
Author(s)
Bibliographic Information
Parallel symbolic computing : languages, systems, and applications : US/Japan Workshop, Cambridge, MA, USA, October 14-17, 1992 : proceedings
(Lecture notes in computer science, 748)
Springer-Verlag, c1993
- : gw
- : us
Available at 59 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Description and Table of Contents
Description
Parallel and distributed computing are becoming increasingly
important as cost-effective ways to achieve high
computational performance. Symbolic computations are notable
for their use of irregular data structures and hence
parallel symbolic computing has its own distinctive set of
technical challenges.
The papers in this book are based on presentations made at a
workshop at MIT in October 1992. They present results in a
wide range of areas including: speculative computation,
scheduling techniques, program development tools and
environments, programming languages and systems, models of
concurrency and distribution, parallel computer
architecture, and symbolic applications.
Table of Contents
Overview of papers from the U.S./Japan workshop on parallel symbolic computing.- Prioritization in parallel symbolic computing.- A priority control system for OR-parallel Prolog and its performance evaluation.- Extending the Multilisp sponsor model to deal with intertask synchronization side effects.- Distillations of dynamic partitioning experience.- A message passing implementation of lazy task creation.- P-continuation based implementation of PaiLisp interpreter.- Running higher-order unification in PaiLisp.- HyperDEBU: A multiwindow debugger for parallel logic programs.- MulTVision: A tool for visualizing parallel program executions.- Managing side effects on shared data.- Design of a concurrent and distributed language.- TS/Scheme: Distributed data structures in Lisp.- A SIMD environment TUPLE for parallel list processing.- Architecture independence and coordination.- Persistent immutable shared abstractions.- Asynchrony and real-time in distributed systems.- Asynchronous communication model based on linear logic.- Parallel inference system research in the Japanese FGCS project.- Massively parallel symbolic computing.- Sparcle: A multithreaded VLSI processor for parallel computing.- A new architecture design paradigm for parallel computing in scheme.- Customizable policy management in the Sting operating system.- An efficient implementation scheme of concurrent object-oriented languages on stock multicomputers (extended abstract).- Panel discussion I: Massively parallel architectures and symbolic computation.- Panel Discussion II: Applications for parallel symbolic computation.
by "Nielsen BookData"