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Scientific and Engineering Computation

The Scientific and Engineering Computation Series from MIT Press presents accessible accounts of computing research areas normally presented in research papers and specialized conferences. Elements of modern computing that have appeared thus far in the series include parallelism, language design and implementation, system software, and numerical libraries. The scope of the series continues to expand with the spread of ideas from computing into new aspects of science.

A Users' Guide and Tutorial for Network Parallel Computing

Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources. PVM introduces distributed computing, discusses where and how to get the PVM software, provides an overview of PVM and a tutorial on setting up and running existing programs, and introduces basic programming techniques including putting PVM in existing code.

High Performance Fortran (HPF) is a set of extensions to Fortran expressing parallel execution at a relatively high level. For the thousands of scientists, engineers, and others who wish to take advantage of the power of both vector and parallel supercomputers, five of the principal authors of HPF have teamed up here to write a tutorial for the language.

Proceedings of the First International Conference

The goal of enterprise integration is the development of computer-based tools that facilitate coordination of work and information flow across organizational boundaries. These proceedings, the first on EI modeling technologies, provide a synthesis of the technical issues involved; describe the various approaches and where they overlap, complement, or conflict with each other; and identify problems and gaps in the current technologies that point to new research.

MIMD computers are notoriously difficult to program. Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers.

HEP Supercomputer and Its Applications

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