Open AccessBook
An Introduction to Parallel Programming
Peter Pacheco
- 01 Jan 2011
TL;DR: The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of distributed and shared-memory programs.
read more
Abstract: Author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP. The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. User-friendly exercises teach studentshow to compile, run and modify example programs. Key features:Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examplesFocuses on designing, debugging and evaluating the performance of distributed and shared-memory programsExplains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A python-based software tool for power system analysis
Federico Milano
- 21 Jul 2013
TL;DR: The features that makes the Python language an adequate tool for research, massive numerical simulations and education are discussed and a variety of examples are provided to show the advanced features and the performance of the developed tool.
Topology optimization of freeform large-area metasurfaces
TL;DR: In this paper, the authors show how topology optimization with one degree of freedom per high resolution pixel can be extended to large areas with the help of a locally periodic approximation that was previously only used for a few parameters per λ 2.
Optimal Path Planning Generation for Mobile Robots using Parallel Evolutionary Artificial Potential Field
TL;DR: This innovative proposal integrates the original APF, evolutionary computation and parallel computation for taking advantages of novel processors architectures, to obtain a flexible path planning navigation method that takes all the advantages of using the APF and the EAPF, strongly reducing their disadvantages.
136
Productive Parallel Programming: The PCN Approach
TL;DR: PCN as mentioned in this paper is a programming system designed to improve the productivity of scientists and engineers using parallel supercomputers by providing a simple notation for the concise specification of concurrent algorithms, the ability to incorporate existing Fortran and C code into parallel applications, facilities for reusing parallel program components, and integrated debugging and performance analysis tools.
From patterns to frameworks to parallel programs
Steve MacDonald,John Anvik,Steven Bromling,Jonathan Schaeffer,Duane Szafron,Kai Tan +5 more
- 01 Dec 2002
TL;DR: The Parallel Design Patterns (PDP) process, the basis of the CO2P3S parallel programming system, combines these techniques in a layered development model, creating a new approach to parallel programming that addresses correctness and openness in a unique way.