Transformational programming and parallel computation are two emerging fields that may ultimately depend on each other for success. Perhaps because ad hoc programming on sequential machines is so straightforward, sequential programming methodology has had little impact outside the academic commu
Parallel Algorithm Derivation and Program Transformation
โ Scribed by Robert Paige, J.H. Reif, Ralph Wachter
- Publisher
- Springer
- Year
- 1993
- Tongue
- English
- Leaves
- 241
- Series
- The Springer International Series in Engineering and Computer Science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book contains selected papers from the ONR Workshop on Parallel Algorithm Design and Program Transformation that took place at New York University, Courant Institute, from Aug. 30 to Sept. 1, 1991. The aim of the workshop was to bring together computer scientists in transformational programming and parallel algorithm design in order to encourage a sharing of ideas that might benefit both communities. It was hoped that exposurt: to algorithm design methods developed within the algorithm community would stimulate progress in software development for parallel architectures within the transformational community. It was also hoped that exposure to syntax directed methods and pragmatic programming concerns developed within the transformational community would encourage more realistic theoretical models of parallel architectures and more systematic and algebraic approaches to parallel algorithm design within the algorithm community. The workshop Organizers were Robert Paige, John Reif, and Ralph Wachter. The workshop was sponsored by the Office of Naval Research under grant number N00014-90-J-1421. There were 44 attendees, 28 presentations, and 5 system demonstrations. All attendees were invited to submit a paper for publication in the book. Each submitted paper was refereed by participants from the Workshop. The final decision on publication was made by the editors. There were several motivations for holding the workshop and for publishing papers contributed by its participants. Transformational programming and parallel computation are two emerging fields that may ultimately depend on each other for success.
โฆ Table of Contents
Goto 0 /FitH 555792393627......Page 1
PARALLEL ALGORITHMDERIVATION AND PROGRAMTRANSFORMATION......Page 2
TABLE OF CONTENTS......Page 6
1. Deductive Derivation of Parallel Programs......Page 20
2. Derivation of Parallel Sorting Algorithms......Page 73
3. Some Experiments in Transforming Towards ParallelExecutability......Page 88
4. The Use of the Tupling Strategy in the Developmentof Parallel Programs......Page 127
5. Scheduling Program Task Graphs on MIMDArchitectures......Page 168
6 . Derivation of Randomized Sorting and SelectionAlgorithms......Page 202
7. Time-Space Optimal Parallel Computation......Page 221
Index......Page 238
โฆ Subjects
Computer Science;AI & Machine Learning;Bioinformatics;Computer Simulation;Cybernetics;Human-Computer Interaction;Information Theory;Robotics;Systems Analysis & Design;Computers & Technology;Design & Architecture;Hardware & DIY;Computers & Technology;Algorithms;Data Structures;Genetic;Memory Management;Programming;Computers & Technology;Software Development;Software Design, Testing & Engineering;Programming;Computers & Technology;Programming Languages;Ada;Ajax;Assembly Language Programming;Borlan
๐ SIMILAR VOLUMES
<p>This book contains selected papers from the ONR Workshop on Parallel Algorithm Design and Program Transformation that took place at New York University, Courant Institute, from Aug. 30 to Sept. 1, 1991. The aim of the workshop was to bring together computer scientists in transformational programm
Since the publication of the first edition, parallel computing technology has gained considerable momentum. A large proportion of this has come from the improvement in VLSI techniques, offering one to two orders of magnitude more devices than previously possible. A second contributing factor in the
Since the publication of the first edition, parallel computing technology has gained considerable momentum. A large proportion of this has come from the improvement in VLSI techniques, offering one to two orders of magnitude more devices than previously possible. A second contributing factor in the
<p>Since the publication of the first edition, parallel computing technology has gained considerable momentum. A large proportion of this has come from the improvement in VLSI techniques, offering one to two orders of magnitude more devices than previously possible. A second contributing factor in t