Software for Parallel Computation

This book contains papers on the most critical issue of parallel computing-software. It focuses on parallel software, programming tools, and practical experience of using parallel computers for solving demanding problems. Several high performance tools are described here for the first time.

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This volume contains papers on software for high performance parallel computation. Their purpose is to evaluate the current state of the art in software for parallel computation, identify the main factors inhibiting practical applications of parallel computers, and suggest possible remedies. In particular, they focus on parallel software, programming tools, and practical experience of using parallel computers for solving demanding problems. Critical issues relative to the practical use of parallel computing include: portability, reusability and debugging, parallelization of sequential programs, construction of parallel algorithms, and performance of parallel programs and systems. Several tools are described for the first time in this book, and several papers are by outstanding contributors to the field ofhigh speed programming. Highlights include papers on PVM and HeNCE, FORGE 90and High Performance Fortran, Linda, and object oriented programming methods.

Contenu
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.