PVM: Parallel Virtual Machine: A Users' Guide and Tutorial for Network Parallel Computing (Al Geist, et al)

 
0.0 (0)
PVM: Parallel Virtual Machine: A Users' Guide and Tutorial for Network Parallel Computing (Al Geist, et al)

This tutorial, which was created by the software's development team, is the go-to guide for anyone looking to utilize PVM to enhance the flexibility and power of their high-performance computing resources, including researchers, engineers, and other computer users.

This book gives an overview of PVM, a tutorial on setting up and running existing programs, an introduction to basic programming techniques, including integrating PVM into existing code, as well as information on where and how to obtain the PVM software. It also covers networked computing. Program examples, information on how PVM operates on UNIX and multiprocessor platforms, advanced subjects (portability, debugging, performance optimization), and troubleshooting are all included.

A networked heterogeneous collection of serial, parallel, and vector computers can be defined as one huge computer using the PVM (Parallel Virtual Machine) software program. It can be utilized both independently and as a base for additional heterogeneous network applications. Sequential processors, vector processors, and multicomputer are just a few of the machine designs that PVM can be set to include. It can also be adapted to any future emerging computer architectures.

Ebook Details

About the Authors
  • Research Scientist George A. Geist II works at Oak Ridge National Laboratory. At Carnegie Mellon University's School of Computer Science, Adam Beguelin works as a research computer scientist. 
  • At the University of Illinois Urbana-Champaign, William Gropp holds the Thomas M. Siebel Chair in Computer Science and is the director of the Parallel Computing Institute.
  • At Argonne National Laboratory, Ewing Lusk holds the title of Argonne Distinguished Fellow Emeritus.
Publisher
Published
Published Date / Year
(November 8, 1994)
Hardcover
299 pages
eBook Format
HTML and PDF
ISBN-10
0262571080
ISBN-13
978-0262571081

Similar Programming & Computer Books

Parallel Complexity Theory (Sanjeev Arora, et al.)
The focus of this free programming book is the research of Parallel Computing and Programming, which serves as an abstract indicator of the complexity of parallel computing problems. ...
Computational Complexity: A Conceptual Perspective (Oded Goldreich)
The study of the innate complexity of computer jobs is introduced conceptually in this free programming book. It is meant to be used as a textbook or for independent...
Computational Complexity (Wikibooks)
All computer science grads should read this free programming book since it offers information that is fundamental to their understanding of computation theory. ...
The Complexity of Boolean Functions (Ingo Wegener)
One of the most fascinating and crucial areas of theoretical computer science presently includes research on the difficulty of Boolean functions in non-uniform processing models. It directly relates to...
HTTP Programming Recipes for C# Bots (Jeff Heaton)
An information transfer between a web server and a web browser is made possible via the Hypertext Transfer Protocol (HTTP). You may directly program HTTP using C#. ...
Numerical Methods for Large Eigenvalue Problems, Revised Edition (Yousef Saad)
This free programming book is written for practitioners interested in learning the theory behind numerical techniques used for eigenvalue problems as well as researchers in applied mathematics and scientific...
Modern Multithreading : Implementing, Testing, and Debugging Multithreaded Java and C++/Pthreads/Win32 Programs (Richard H. Carver, et al)
For advanced undergraduate and graduate computer science students, this free programming textbook is written. It is also a very helpful reference for working programmers due to the wealth of...
Algorithms and Complexity (Herbert S. Wilf)
This free programming book serves as an introduction to algorithm creation and analysis. The methods for algorithm analysis are demonstrated by the author using a selective few themes. Fast...
Learn Ethereum: Build your own Decentralized Applications with Ethereum and Smart Contracts (Xun Wu, et al)
Ethereum is a decentralized, blockchain-based computing platform that enables the execution of smart contracts.
Beej 網絡編程指南簡體中文 - Beej’s Guide to Network Programming Simplified Chinese 9Brian “Beej Jorgensen, et al)
This free open-source book is a stepping stone to Linux socket network programming, and it is a good start for beginners, especially since the seventh chapter introduces important Linux...

Others Programming Books by The MIT Press

Cellular: An Economic and Business History of the International Mobile-Phone Industry (Daniel D. Garcia-Swartz, et al)
From the late 1970s to the present, charts the development of the global cellular industry. It took exceptional collaboration between businesses, governments, and industrial sectors for the mobile phone...
The Ecology of Games: Connecting Youth, Games, and Learning (Katie Salen)
Little has been published on an overall "ecology" of gaming, game design, and play - mapping the ways that all the various elements, from code to social practices to...
Categories, Types, and Structures: An Introduction to Category Theory for the Working Computer Scientist (Andrea Asperti, et al)
This free programming book offers an accessible introduction to category theory for computer scientists as well as useful examples in the context of programming language design. In "Categories, Types...
Sheaf Theory through Examples (Daniel Rosiak)
This free programming book offers a clear introduction to elementary sheaf theory from the standpoint of applied category theory and explores several applications, such as n-colorings of graphs, satellite...
Wandering Games (Melissa Kagen)
Games may use wandering as a topic, formal style, metaphor for aesthetics, or player action. It can refer to moving forward, moving backward, traveling, meandering, or escaping. ...
Probabilistic Machine Learning: Advanced Topics (Kevin Patrick Murphy)
In this book, we broaden the use of machine learning to more difficult issues.
Introduction to Online Convex Optimization (Elad Hazan)
In this book, optimization is portrayed as a procedure. It is not realistic to draw out a thorough theoretical model and utilize traditional algorithmic theory and/or mathematical optimization in...
Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction (Sacha Friedli, et al)
Using a variety of specific models, such as the Curie-Weiss and Ising models, the Gaussian free field, O(n) models, and models with Ka interactions, this inspiring textbook provides a...
Software Design for Flexibility: How to Avoid Programming Yourself into a Corner (Chris Hanson, et al)
Techniques for designing huge systems that are easily reconfigurable for different scenarios with very modest programming changes.
Global Fintech: Financial Innovation in the Connected World (David L. Shrier, et al.)
The global financial services industry has been completely transformed by artificial intelligence, big data, blockchain, and other new technologies, opening up new prospects for business owners and corporate innovators....
Structure and Interpretation of Computer Programs, JavaScript Edition (Harold Abelson, et al.)
By building a number of mental models for computation, this book introduces the reader to the fundamental concepts of computation.
The New Hacker's Dictionary (The Jargon File) by Eric S. Raymond
This page includes a glossary of terminology used by various computer hacker subcultures. What we describe here is the language hackers use among themselves for amusement, social contact, and...
Algorithms for Decision Making (Mykel Kochenderfer, et al)
In this book, algorithms for making decisions in the face of uncertainty are introduced in great detail. It introduces the underlying mathematical problem formulations and the strategies for addressing...
Machine Learning: A Probabilistic Perspective (Kevin Patrick Murphy)
Automated data analysis techniques are necessary given the Web-enabled flood of electronic data we face today. These are provided by machine learning, which creates techniques that can automatically find...
Exploratory Programming for the Arts and Humanities (Nick Montfort)
There are no prerequisites or assuming prior programming experience in this book, which introduces programming to readers interested in the arts and humanities.
The Constitution of Algorithms: Ground-Truthing, Programming, Formulating (Florian Jaton)
The technologies we use every day are powered by algorithms, which are sometimes used interchangeably with words like "big data," "machine learning," and "artificial intelligence." Arguments concerning the real...
Linguistics for the Age of AI (Marjorie McShane, et al)
This book presents a model of language understanding for intelligent agent systems that is human-inspired and linguistically complex.
Probabilistic Machine Learning: An Introduction (Kevin Patrick Murphy)
Using probabilistic models and inference as a unifying strategy, this book provides a thorough introduction to machine learning.
How Humans Judge Machines (Cesar A. Hidalgo, et al)
A thorough analysis of how individuals respond to human activities versus machine actions. This book investigates when and why people differentiate between humans and machines through dozens of tests....
Certified Programming with Dependent Types: A Pragmatic Introduction to the Coq Proof Assistant (Adam Chlipala)
Many different computer science research endeavors can benefit from the use of mechanized program verification technologies, and the use of similar formal proof-checking tools in mathematics and engineering is...

User reviews

There are no user reviews for this listing.
Ratings
Rate this Book
Comments