PVM: Parallel Virtual Machine
by Al Geist, at al.
Publisher: The MIT Press 1994
ISBN/ASIN: 0262571080
ISBN-13: 9780262571081
Number of pages: 299
Description:
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. PVM introduces distributed computing, discusses where and how to get the PVM software, provides an overview of PVM and a tutorial on setting up and running existing programs, and introduces basic programming techniques including putting PVM in existing code.
Download or read it online for free here:
Read online
(online html)
Similar books
Designing and Building Parallel Programsby Ian Foster - Addison Wesley
Introduction to parallel programming and a guide for developing programs for parallel and distributed systems. Programs are developed in a methodical fashion and both cost and performance are considered at each stage in a design.
(18102 views)
Programming on Parallel Machinesby Norm Matlo ff - University of California, Davis
This book is aimed more on the practical end of things, real code is featured throughout. The emphasis is on clarity of the techniques and languages used. It is assumed that the student is reasonably adept in programming and linear algebra.
(10649 views)
Parallel Programming with Microsoft .NETby Colin Campbell, Ralph Johnson, Stephen Toub - Microsoft Press
A book that introduces .NET programmers to patterns for including parallelism in their applications. Examples of these patterns are parallel loops, parallel tasks and data aggregation with map-reduce. Each pattern has its own chapter.
(17230 views)
Distributed Systems for Fun and Profitby Mikito Takada - mixu.net
This text provides a more accessible introduction to distributed systems. The book brings together the ideas behind many of the more recent distributed systems - such as Amazon's Dynamo, Google's BigTable and MapReduce, Apache's Hadoop and so on.
(14990 views)