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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.

Proceedings of the First International Conference

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

Fifteen original contributions from experts in high-speed computation on multi-processor architectures, concurrent programming and parallel algorithms.

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