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.
Series editor: William Gropp
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High-Performance Big Data Computing
Pub Date: Aug 02, 2022
The OpenMP Common Core
Pub Date: Nov 19, 2019
Cloud Computing for Science and Engineering
Pub Date: Sep 29, 2017
Using OpenMP—The Next Step
Pub Date: Oct 20, 2017
Quantum Computing
Pub Date: Aug 29, 2014
Scientific Programming and Computer Architecture
Pub Date: Jul 28, 2017
Using Advanced MPI
Pub Date: Nov 07, 2014
Using MPI
Pub Date: Nov 07, 2014
Practical Parallel Programming
Pub Date: Nov 21, 1995
The Massively Parallel Processor
Pub Date: Jul 26, 1985
Parallel MIMD Computation
Pub Date: Jun 27, 1985
Programming Models for Parallel Computing
Pub Date: Nov 06, 2015
Using MPI
Pub Date: Nov 12, 1999
High Performance Fortran Handbook
Pub Date: Nov 01, 1993
Cellular Automata Machines
Pub Date: Apr 22, 1987