Parallel Processing using PVM

PVM is a software application that allows you to turn TCP/IP networked computers into a single virtual machine in order to run parallel programming.
The Future of PVM

Although PVM rather quickly became a de facto standard, critics pointed out that in actuality there was no formal, enforced standard. It was also clear that the message passing was slower than optimized protocols native to an architecture. Very soon after the spread of PVM, a standard was put forward called MPI, the Message-Passing Interface. MPI has advantages (e.g., faster message passing, a standard) and disadvantages (e.g., not interoperable among heterogeneous architectures, not dynamically reconfigurable) with respect to PVM. PVMPI is a newer project which will combine the virtues of both approaches. The success of this project together with any standardization efforts of PVMPI may determine the future viability of PVM.

Resources

Richard Sevenich is a Professor of Computer Science at Eastern Washington University with special enthusiasm for Debian GNU/Linux. His research interests include Application Specific Languages, State Languages for Industrial Control, Fuzzy Logic and Parallel Distributed Processing. He can be reached by e-mail at rsevenich@ewu.edu.

______________________

Comments

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

Is it compatible with Windows

Anonymous's picture

Is it compatible with Windows 7?

Webcast
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers

Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.

Learn More

Sponsored by AMD

White Paper
Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6

Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.

Learn more about catching the bad guy in this free white paper.

Learn More

Sponsored by DLT Solutions