
Parallel Computation
Second International ACPC Conference, Gmunden, Austria, October 4-6, 1993. Proceedings
Jens Volkert(Editor)
Springer (Publisher)
Published on 27. September 1993
Book
Paperback/Softback
VIII, 256 pages
978-3-540-57314-2 (ISBN)
Description
The Austrian Center for Parallel Computation (ACPC) is a
cooperative research organization founded in 1989 to promote
research and education in the field of software for parallel
computer systems. The areas in which the ACPC is active
include algorithms, languages, compilers, programming
environments, and applications for parallel and
high-performance computing systems.
This volume contains the proceedings of the Second
International Conference of the ACPC, held in Gmunden,
Austria, October 1993. Authors from 17 countries submitted
44 papers, of which 15 were selected for inclusion in this
volume, which also includes 4 invited papers by
distinguished researchers. The volume is organized into
parts on architectures (2 papers), algorithms (7 papers),
languages (6 papers), and programming environments (4
papers).
More details
Series
Edition
1993 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VIII, 256 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
406 gr
ISBN-13
978-3-540-57314-2 (9783540573142)
DOI
10.1007/3-540-57314-3
Schweitzer Classification
Content
High-performance computing on a honeycomb architecture.- Refined local instruction scheduling considering pipeline interlocks.- Microscopic and macroscopic dynamics.- Further results of the relaxed timing model for distributed simulation.- Pipelining computations on processor arrays with reconfigurable bus systems.- An effective algorithm for computation of two-dimensional fourier transform for NxM matrices.- Rational number arithmetic by parallel p-adic algorithms.- Shortest non-synchronized motions parallel versions for shared memory crew models.- A pipeline algorithm for interactive volume visualization.- Data parallel programming: The promises and limitations of high performance fortran.- Foundations of practical parallel programming languages.- Prototyping parallel algorithms with proset-Linda.- Identifying the available parallelism using static analysis.- Automatic parallelization by pattern-matching.- Parallelization - A case study.- PVM 3 beyond network computing.- The design of the PACLIB kernel for parallel algebraic computation.- Generating parallel code from equations in the ObjectMath programming environments.- The paragon performance monitoring environment.