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
High-Performance Big Data Computing
Aug 02, 2022
Nov 19, 2019
Oct 20, 2017
Cloud Computing for Science and Engineering
Sep 29, 2017
Scientific Programming and Computer Architecture
Jul 28, 2017
Programming Models for Parallel Computing
Nov 06, 2015
Nov 07, 2014
Nov 07, 2014
Aug 29, 2014
Quantum Computing Without Magic
Aug 01, 2008
Oct 12, 2007
Aug 27, 2004
Beowulf Cluster Computing with Linux
Nov 21, 2003
Oct 24, 2003
Beowulf Cluster Computing with Linux
Oct 26, 2001
Beowulf Cluster Computing with Windows
Oct 26, 2001
Dec 09, 1999
Nov 12, 1999
Nov 09, 1999
May 13, 1999
Feb 16, 1999
Sep 28, 1998
Sep 28, 1998
Sep 28, 1998
Oct 01, 1997
Using PLAPACK: Parallel Linear Algebra Package
Apr 03, 1997
Parallel Programming Using C++
Jul 08, 1996
Practical Parallel Programming
Nov 21, 1995
Nov 17, 1995
Enabling Technologies for Petaflops Computing
Jul 26, 1995
Nov 08, 1994
Nov 08, 1994
High Performance Fortran Handbook
Nov 01, 1993
Enterprise Integration Modeling
Oct 23, 1992
Parallel Computational Fluid Dynamics
Sep 24, 1992
Data-Parallel Programming on MIMD Computers
Dec 30, 1991
Nov 30, 1987
The Characteristics of Parallel Algorithms
Jun 27, 1987
Apr 22, 1987
The Massively Parallel Processor
Jul 26, 1985
Jun 27, 1985