Software for Parallel Computation

ISBN-13: 9783540564515 / Angielski / Twarda / 1993 / 366 str.

Janusz S. Kowalik; Lucio Grandinetti

Opis

This volume contains papers on software for high performanceparallel computation. Their purpose is to evaluate thecurrent state of the art in software for parallelcomputation, identify the main factors inhibiting practicalapplications of parallel computers, and suggest possibleremedies. In particular, they focus on parallel software, programming tools, and practical experience of usingparallel computers for solving demanding problems. Criticalissues relative to the practical use of parallel computinginclude: portability, reusability and debugging, parallelization of sequential programs, construction ofparallel algorithms, and performance of parallel programsand systems.Several tools are described for the first time in this book, and several papers are by outstanding contributors to thefield ofhigh speed programming. Highlights include paperson PVM and HeNCE, FORGE 90and High Performance Fortran, Linda, and object oriented programming methods.

Spis treści

1 Introduction.- Software for Parallel Computing: Key Issues and Research Directions.- 2 Tools and Methods for Parallel Computing.- Learning From Our Successes.- Software Development for Parallel Processing.- Software Tools for Developing and Porting Parallel Programs.- Scalable Software Tools for Parallel Computations.- PVM and HeNCE: Tools for Heterogeneous Network Computing.- Distributed Shared Memory: Principles and Implementation.- FORGE 90 and High Performance Fortran (HPF).- The Bird-Meertens Formalism as a Parallel Model.- Software Issues for the PASM Parallel Processing System.- Data Migrations on the Hypercube.- Automatic Determination of Parallelism in Programs.- Are Object Oriented Programming Methods Suitable for Numerical Computing on Parallel Machines.- Parallel Relational Data Base Management System Design Aspects.- 3 Graphics.- MUDI3: a Tool for the Interactive Visual Analysis of Multidimensional Fields.- Graphical Support for Parallel Debugging.- 4 Algorithms and Applications.- Backpropagation on Distributed Memory Systems.- Mapping Algorithms on Hypercube.- Software Development for Finite Element Fluid Dynamic Applications.- Asynchronous Communication on Shared-Memory Parallel Computers.- Two Different Data-Parallel Implementations of the BLAS.- 5 Performance of Parallel Programs and Systems.- Examples of Scalable Performance.- Performance Prediction from Data Transport.- Dynamic Load Balancing in Adaptive Parallel Applications.- Performance Analysis of Dynamic Scheduling Techniques for Irregularly Structured Computation.