Slide 1
Most trusted JOB oriented professional program
DevOps Certified Professional [DCP]
Take your first step into the world of DevOps with this course, which will help you to learn about the methodologies and tools used to develop, deploy, and operate high-quality software.
Slide 2
DevOps to DevSecOps – Learn the evolution
DevSecOps Certified Professional [DSOCP]
Learn to automate security into a fast-paced DevOps environment using various open-source tools and scripts.
Slide 2
Get certified in the new tech skill to rule the industry
Site Reliability Engineering [SRE] Certified Professional
A method of measuring and achieving reliability through engineering and operations work – developed by Google to manage services.
Slide 2
Master in DevOps Engineering [MDE]
Get enrolled for the most advanced and only course in the WORLD which can make you an expert and proficient Architect in DevOps, DevSecOps and Site Reliability Engineering [SRE] principles together.
Slide 2
Gain expertise and certified yourself
Azure DevOps Solutions Expert
Learn about the DevOps services available on Azure and how you can use them to make your workflow more efficient.
Slide 3
AWS Certified DevOps Professional
Learn about the DevOps services offered by AWS and how you can use them to make your workflow more efficient.
Python Virtual Machine [PVM] is a program which provides programming environment. The role of PVM is to convert the byte code instructions into machine code so the
computer can execute those machine code instructions and display the output.
Interpreter converts the byte code into machine code and sends that machine code to the computer processor for execution.
Learn Python Fundamental in Jusy 3 hours – Part – 1
Learn Python Fundamental in Jusy 3 hours – Part – 2
- Author
- Recent Posts
Parallel Virtual Machine
Oak Ridge National Laboratory |
University of Tennessee |
1989 |
3.4.6 / February 2, 2009; 13 years ago[1] |
C |
Windows and Unix |
BSD, GPL |
//www.cs.cmu.edu/Groups/pvm.html |
Parallel Virtual Machine [PVM] is a software tool for parallel networking of computers. It is designed to allow a network of heterogeneous Unix and/or Windows machines to be used as a single distributed parallel processor. Thus large computational problems can be solved more cost effectively by using the aggregate power and memory of many computers. The software is very portable; the source code, available free through netlib, has been compiled on everything from laptops to Crays.[2]
PVM enables users to exploit their existing computer hardware to solve much larger problems at less additional cost. PVM has been used as an educational tool to teach parallel programming but has also been used to solve important practical problems.[2] It was developed by the University of Tennessee, Oak Ridge National Laboratory and Emory University. The first version was written at ORNL in 1989, and after being rewritten by University of Tennessee, version 2 was released in March 1991. Version 3 was released in March 1993, and supported fault tolerance and better portability.
PVM was a step towards modern trends in distributed processing and grid computing but has, since the mid-1990s, largely been supplanted by the much more successful MPI standard for message passing on parallel machines. PVM is free software, released under both the BSD License and the GNU General Public License.
Design[edit]
PVM is a software system that enables a collection of heterogeneous computers to be used as a coherent and flexible concurrent computational resource, or a "parallel virtual machine".
The individual computers may be shared-memory or local-memory multiprocessors, vector supercomputers, specialized graphics engines, or scalar workstations and PCs, that may be interconnected by a variety of networks, such as Ethernet or FDDI.
PVM consists of a run-time environment and library for message-passing, task and resource management, and fault notification. While PVM will not automatically make a commercial software package run faster, it does provide a powerful set of functions for manually parallelizing an existing source program, or for writing new parallel/distributed programs.
The PVM software must be specifically installed on every machine that is to be used in a given "virtual machine". There is no "automatic" installation of executables onto remote
machines in PVM, although simply copying the pvm3/lib
and pvm3/bin
directories to another similar machine [and setting $PVM_ROOT
and $PVM_ARCH
] is sufficient for running PVM programs. Compiling or building PVM programs requires the full PVM installation.
User programs written in C, C++, or Fortran can access PVM through provided library routines.
PVM also supports broadcasting [PVM_bcast] which sends to all processes in a group and multicasting [PVM_mcast] which sends to a specific list of processes.
See also[edit]
- CORBA
- Globus Alliance
- Occam programming language
- Ease programming language
- Linda [coordination language]
- Calculus of communicating systems
- Calculus of Broadcasting Systems
- Message Passing Interface [MPI]
References[edit]
- ^ Release Notes
- ^ a b "Parallel Virtual Machine [PVM] Homepage".
External links[edit]
- Official website
- Parawiki: Parallel Virtual Machine at the Wayback Machine [archived 21 March 2007]