Journal ArticleDOI
Parallel Scripting with Python
TLDR
The combination of the Python language and the bulk synchronous parallel computing model make developing and testing parallel programs a much more pleasurable experience.Abstract:
The combination of the Python language and the bulk synchronous parallel computing model make developing and testing parallel programs a much more pleasurable experience.read more
Citations
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Journal ArticleDOI
Information visualisation for science and policy: engaging users and avoiding bias
Greg J. McInerny,Greg J. McInerny,Min Chen,Robin Freeman,David J. Gavaghan,Miriah Meyer,Francis Rowland,David Spiegelhalter,Moritz Stefaner,Geizi Tessarolo,Geizi Tessarolo,Joaquín Hortal +11 more
TL;DR: Information visualisation needs to permeate increasingly both the work of scientists and science policy because the alternative is increased potential for missed discoveries, miscommunications, and, at worst, creating a bias towards the research that is easiest to display.
Journal ArticleDOI
Parallel Scientific Computation: A Structured Approach using BSP and MPI
TL;DR: This is the first textbook provides a comprehensive overview of the technical aspects of building parallel programs using BSP and BSPlib, and is contemporary, well presented, and balanced between concepts and the technical depth required for developing parallel algorithms.
Journal ArticleDOI
PyClaw: Accessible, Extensible, Scalable Tools for Wave Propagation Problems
David I. Ketcheson,Kyle T. Mandli,Aron Ahmadia,Amal Alghamdi,Manuel Quezada,Matteo Parsani,Matthew G. Knepley,Matthew Emmett +7 more
TL;DR: The design of a general hyperbolic PDE solver that can be operated with the convenience of MATLAB yet achieves efficiency near that of hand-coded Fortran and scales to the largest supercomputers is described.
A Bibliography of Publications about the Python Scripting and Programming Language
TL;DR: This bibliography records books about the Python scripting and programming Language and related software.
Journal ArticleDOI
Simplifying the parallelization of scientific codes by a function-centric approach in Python
Jon Kerr Nilsen,Xing Cai,Xing Cai,Bjørn Høyland,Hans Petter Langtangen,Hans Petter Langtangen +5 more
TL;DR: The purpose of this paper is to show how existing scientific software can be parallelized using a separate thin layer of Python code where all parallelization-specific tasks are implemented.
References
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Journal ArticleDOI
A bridging model for parallel computation
TL;DR: The bulk-synchronous parallel (BSP) model is introduced as a candidate for this role, and results quantifying its efficiency both in implementing high-level language features and algorithms, as well as in being implemented in hardware.
Journal ArticleDOI
Questions and Answers about BSP
TL;DR: This paper answers the most common questions asked about BSP and justifies its claim to be a major step forward in parallel programming.
Book
Parallel Scientific Computation: A Structured Approach using BSP and MPI
TL;DR: A quick reference guide to BSPlib and programming in BSP style using MPI References Index.
Journal ArticleDOI
Parallel Scientific Computation: A Structured Approach using BSP and MPI
TL;DR: This is the first textbook provides a comprehensive overview of the technical aspects of building parallel programs using BSP and BSPlib, and is contemporary, well presented, and balanced between concepts and the technical depth required for developing parallel algorithms.