21. HPCC - Courseware - PVM Overview Some terminology associated with pvm programming Host A physical machine; for example,Unix workstation or parallel computer Virtual machine Combination of http://www.hpcc.ecs.soton.ac.uk/EandT/courseware/PVM/introduction.html

Introduction Parallel Virtual Machine PVM is a software package that permits a heterogeneous collection of serial, parallel, and vector computers on a network to appear as one large computing resource. PVM allows us to use the combined power of a number of computers. PVM is a virtual computer that allows multiple supercomputers to be linked together to achieve Grand Challenge performance. PVM is an educational tool that allows institutions without access to parallel computers to teach courses in parallel computing. Major Features of PVM Easy to install. Easy to configure. Each individual's configuration can overlap other users' PVMs without conflict. Easy to write programs with the use of a standard message-passing interface library. Supports C and Fortran-77 applications. The PVM package only requires a few Mbyte of disk space. Heterogeneity PVM supports heterogeneity at three levels. Application Subtasks can use the architecture best suited to their solution. Machine Computers with different data formats, different architectures (serial or parallel), and different operating systems. Network Different network types; for example. FDDI, Ethernet.

22. Parallel Virtual Machine Compiling and Running PVM programs. Some pvm programming examplesmay be found in the folder $PVM_ROOT/examples. These are pretty http://engr.smu.edu/~mihai/pvm.html

Setting PVM on the SEAS network Mihai Surdeanu An old PVM version was already installed on the ULTRIX machines in the SEAS network. Unfortunately, this version is incomplete so I decided to install a new one. I chose version 3.3.11, which is the latest final version. Setting your account for PVM Anybody with a valid SEAS account may use the new 3.3.11 PVM. All you have to do is follow these steps: Edit the .rhosts file if you didn't do it already to include all the ULTRIX machines you plan to use as part of PVM. My .rhosts file looks something like this: quick mihai rapid mihai hyper mihai zebra mihai star0 mihai star1 mihai You will have to replace mihai with your user name. The meaning of this file is just to allow the PVM daemon to launch tasks on these machines. It is not the PVM configuration file. Add the following variables to your environment: Name Value Description ~mihai/pvm3_3_11 The location of the PVM files `$PVM_ROOT/lib/pvmgetarch` The architecture the PVM is running on. For the ULTRIX machines this variable is PMAX but you can use the pvmgetarch command supplied in the PVM distribution to automatically find it.

23. The JPVM Home Page to be easy to learn and scalable to complex programming problems, and thus mighthelp avoid some of the incidental complexity in pvm programming, and allow the http://www.cs.virginia.edu/~ajf2j/jpvm.html

JPVM The Java Parallel Virtual Machine NOTE: If you are currently using JPVM, please download the latest version below (v0.2.1, released Feb.2, 1999). It contains an important bug fix to pvm_recv. JPVM is a PVM-like library of object classes implemented in and for use with the Java Programming language. PVM is a popular message passing interface used in numerous heterogeneous hardware environments ranging from distributed memory parallel machines to networks of workstations. Java is the popular object oriented programming language from Sun Microsystems that has become a hot-spot of development on the Web. JPVM, thus, is the combination of both - ease of programming inherited from Java, high performance through parallelism inherited from PVM. Why a Java PVM? The reasons against are obvious - Java programs suffer from poor performance, running more than 10 times slower than C and Fortran counterparts in a number of tests I ran on simple numerical kernels. Why then would anyone want to do parallel programming in Java? The answer for me lies in a combination of issues including the difficulty of programming - parallel programming in particular, the increasing gap between CPU and communications performance, and the increasing availability of idle workstations. Developing PVM programs is typically not an easy undertaking for non-toy problems. The available language bindings for PVM (i.e., Fortran, C, and even C++) don't make matters any easier. Java has been found to be easy to learn and scalable to complex programming problems, and thus might help avoid some of the incidental complexity in PVM programming, and allow the programmer to concentrate on the inherent complexity - there's enough of that to go around.

24. JICS Workshops In High Performance Supercomputing -- Fall 1997 Page This is a new workshop that combines our previous pvm programmingclasses with our IBM SP2 training workshop. Participants http://www.jics.utk.edu/workshops/workshop_sched_fall97.html

Joint Institute For Computational Science Fall 1997 Workshops in High Performance Supercomputing JICS offers a variety of workshops designed to introduce researchers with computationally intensive problems to parallel processing, in general, as well as parallel programming for specific architectures. These workshops typically include classroom training during the morning sessions, with hands-on laboratory exercises in the afternoon using one of the high performance computers accessible through JICS. The hands-on training sessions are made possible through the cooperation of the UT Computer Science Department in providing the use of its computing laboratories for these workshops. Temporary training accounts will be provided for these labs. A prerequisite for these workshops is a basic knowledge of Unix. Training in Unix is frequently offered through the UT Division of Information Infrastructure and also through TSI at ORNL. JICS offers these workshops to all our affiliates at no cost. Enrollment, however, must be limited to faculty, research scientists, and graduate students, so register early. Applicants should register using the application form below. If you have additional questions, please contact JICS at jics@cs.utk.edu, or call (423) 974-3907. Course Listing An Introduction to Parallel Processing Instructor: Christian Halloy Dates: October 21 Parallel Programming with PVM on Clusters of Workstations and on the IBM SP2 Instructors: Christian Halloy and Kwai Wong

25. JICS Workshops In High Performance Supercomputing -- Spring 1997 Parallel Programming with PVM. Instructor Details; Installing and RunningPVM; The pvm programming Interface and Libraries; Parallelizing for PVM; http://www.jics.utk.edu/workshops/workshop_sched_spring97.html

Joint Institute For Computational Science Spring 1997 Workshops in High Performance Supercomputing JICS offers a variety of workshops designed to introduce researchers with computationally intensive problems to parallel processing, in general, as well as parallel programming for specific architectures. These workshops typically include classroom training during the morning sessions, with hands-on laboratory exercises in the afternoon using one of the high performance computers accessible through JICS. The hands-on training sessions are made possible through the cooperation of the UT Computer Science Department in providing the use of its computing laboratories for these workshops. Temporary training accounts will be provided for these labs. A prerequisite for these workshops is a basic knowledge of Unix. Training in Unix is frequently offered through the UT Division of Information Infrastructure and also through TSI at ORNL. JICS offers these workshops to all our affiliates at no cost. Enrollment, however, must be limited to faculty, research scientists, and graduate students, so register early. Applicants should register using the application form below. If you have additional questions, please contact JICS at jics@cs.utk.edu, or call (423) 974-3907. Course Listing Parallel Programming with PVM Instructor: Asim YarKhan Dates: January 16-17 Prerequisite: Programming experience using C or Fortran An Introduction to Parallel Processing Instructors: Christian Halloy and Kwai Wong

26. Computers/Parallel_Computing/Programming/PVM/Documentation URL http//www.sdsc.edu/GatherScatter/gsnov92/PVMparallel.html High PerformanceComputing for Graphics (08936) An Introduction to pvm programming URL http http://www.technology-and-computers.com/Computers/Parallel_Computing/Programming

Search: Welcome to the technology-and-computers.com search portal. Whether you are looking for information about the Internet, PCs, laptops, software, hardware or various other forms of technology, this is the destination for you. Technology-and-computers.com is the innovative search portal dedicated to providing a wide-range of technology and computer resources. The objective of the technology-and-computers.com search portal is to accumulate an all-inclusive and up to date directory of technology resources. Here you will find links to technology related news, articles, product reviews, Web sites and more. No matter if you are a novice Web user or a tech wizard, technology-and-computers.com has something to offer you. Feel free to peruse the directory or perform a search for your specific technology-related request. Computers Programming PVM Documentation PVM Documentation A Users' Guide and Tutorial for Networked Parallel Computing. URL: http://www.netlib.org/pvm3/book/pvm-book.html Getting Started With PVM This tutorial was developed as an introduction and an online reference to PVM for students at the Physics Department at Oregon State University.

27. The PVM System Figure PVM program hello.c. Shown in Figure gif is the body of the PVM program hello,a simple example that illustrates the basic concepts of pvm programming. http://cch.loria.fr/documentation/local/PvmBook/node17.html

Next: Using PVM Up: PVM: Parallel Virtual Machine Previous: The Linda System The PVM System PVM (Parallel Virtual Machine) is a byproduct of an ongoing heterogeneous network computing research project involving the authors and their institutions. The general goals of this project are to investigate issues in, and develop solutions for, heterogeneous concurrent computing. PVM is an integrated set of software tools and libraries that emulates a general-purpose, flexible, heterogeneous concurrent computing framework on interconnected computers of varied architecture. The overall objective of the PVM system is to to enable such a collection of computers to be used cooperatively for concurrent or parallel computation. Detailed descriptions and discussions of the concepts, logistics, and methodologies involved in this network-based computing process are contained in the remainder of the book. Briefly, the principles upon which PVM is based include the following: User-configured host pool : The application's computational tasks execute on a set of machines that are selected by the user for a given run of the PVM program. Both single-CPU machines and hardware multiprocessors (including shared-memory and distributed-memory computers) may be part of the host pool. The host pool may be altered by adding and deleting machines during operation (an important feature for fault tolerance). Translucent access to hardware: Application programs either may view the hardware environment as an attributeless collection of virtual processing elements or may choose to exploit the capabilities of specific machines in the host pool by positioning certain computational tasks on the most appropriate computers.

28. Pentium Farm An Introduction to pvm programming. This contains needed informationabout the pvm programming interface. This is done by putting. http://www.qo.phy.auckland.ac.nz/FarmNotes/tutorial.html

Physics Home Auckland University Home People ... Pentium Farm An Introduction to PVM Programming Introduction to PVM Beginning Programming Compiling and Running Your Program Communication Between Tasks ... Conclusion Introduction to PVM PVM is a message passing system that enables a network of Unix computers to be used as a single distributed memory parallel computer. This network is referred to as the virtual machine. PVM can be used at several levels. At the highest level, the transparent mode, tasks are automatically executed on the most appropriate computer. In the architecture-dependent mode, the user specifies which type of computer is to run a particular task. In low-level mode, the user may specify a particular computer to execute a task. In all of these modes, PVM takes care of necessary data conversions from computer to computer as well as low-level communication issues. PVM is a very flexible message passing system. It supports the most general form of MIMD parallel computation. This allows the use of any programming paradigmall neccessary control structures can be implemented with suitable PVM constructs. Beginning Programming There are a few structures that are common to all PVM programs written in C. Every PVM program should include the PVM header file. This contains needed information about the PVM programming interface. This is done by putting

29. CPSC 441: Networking Nov. 27 and 29). Dec. 2, 4, 6, PVM User Guide Test on Friday, PVMProgramming. Dec. 9, 11, 13, PVM User Guide, pvm programming. Dec.19, http://math.hws.edu/eck/courses/cpsc441_f02.html

CPSC 441: Computer Networks and Distributed Processing Department of Mathematics and Computer Science Hobart and William Smith Colleges Fall, 2002. Instructor: David J. Eck . Monday, Wednesday, Friday, 3:003:55. Room Lansing 300 (or in a lab). About This Course It is hardly necessary to explain the importance of computer networking. It's everywhere. Computer networks are very complex systems, with many levels of organization. It is certainly not possible to learn everything in one term. (Probably not in one lifetime, especially since things seem to change as fast as anyone can learn them.) The key to dealing with this complexity is to learn the basic ideas and fundamental theory of computer networking. I hope that the course will make that possible, while at the same time covering a lot of practical material. The main textbook for this course is Computer Networking: A Top-Down Approach Featuring the Internet, first edition, by James F. Kurose and Keith W. Ross. We will cover some material from each chapter in this book, while skipping some sections along the way. This book comes with access to a Web site, but I will probably not assign any specific readings from the Web site. The other major source of material will be the on-line user's guide for the Parallel Virtual Machine (PVM). PVM is a system used to write distributed programs. A distributed program is one that runs in pieces on a number of networked computers. We will cover PVM during the last two weeks of the term. There will be additional readings from handouts and on-line sources.

30. CSULB - Beowulf Cluster Page The following is the body of the PVM program hello, a simple example that illustratesthe basic concepts of pvm programming (http//newton.gsfc.nasa.gov/theive http://nike.cecs.csulb.edu/~beowulf/beowulf_sw.html

Beowulf Software This is the master part of the program. int cc, tid, msgtag; char buf[100]; msgtag = 1; pvm_recv(tid, msgtag); pvm_upkstr(buf); The following is a listing of the "slave" or spawned program; its first PVM action is to obtain the task id of the "master" using the pvm_parent call. This program then obtains its hostname and transmits it to the master using the three-call sequence - pv m_initsend to initialize the send buffer; pvm_pkstr to place a string, in a strongly typed and architecture-independent manner, into the send buffer; and pvm_send to transmit it to the destination process specified by ptid, "tagging" the message with the number 1. This is the slave part of the program. int ptid, msgtag; char buf[100]; strcpy(buf, "hello, world from "); gethostname(buf + strlen(buf), 64); msgtag = 1; pvm_initsend(PvmDataDefault); pvm_pkstr(buf); pvm_send(ptid, msgtag); This site best viewed at 800 x 600 resolution HOME MISSION HARDWARE SOFTWARE ... SPONSORS

31. Scientific Computation Option 3; Parallel programming using Pthreads, distributed programming withPVM. 1 credit, free text on pthreads, semaphores, pvm programming. http://rustam.uwp.edu/499/

32. Message Passing PVM Documentation Man pages man pvm, man pvm_intro; Introduction topvm programming; PVM User s Guide; Additional Links. Forschungszentrum http://zampano.zam.kfa-juelich.de/software/pvm.htm

Software PVM - Parallel Virtual Machine For comparison with MPI PVM is available on ZAMpano as an alternative message passing library. Opposite to MPI PVM is based on TCP/IP communication and thus cannot deliver the performance of low-level Myrinet message passing like MPI. Therefore, MPI should be preferred for high-performance applications. PVM runs mostly on the user level and allows to define a Parallel Virtual Machine according to the application's needs. Typically, PVM applications comprise a host program and a number of node processes. On ZAMpano the host program should preferably run on the Front-End (zam008) and spawn the node processes on the compute nodes. Depending on the definition of the Parallel Virtual Machine PVM communication may either use TCP/IP over Fast Ethernet (zam008e1 .. zam008e8) or TCP/IP over Myrinet (zam008m1 .. zam008m8). The following steps are required when using PVM on ZAMpano: Make a reservation for the desired compute nodes with xsched . The reservation can be interactive or batch. In the former case the definition of the Parallel Virtual Machine can be made interactively, in the latter case the definition should be made dynamically in the host program. If the node reservation was 'interactive', define the Parallel Virtual Machine using the

33. High Performance Cluster Computing: Programming And Applications, Volume 2 3. MPI and pvm programming. Introduction. Comparison of MPI and PVM. The pvm programmingEnvironment. Communication Models in PVM. Creating a PVM Program. http://www.informit.com/title/0130137855

Search for: Title Author Keywords ISBN Advanced Search Search Help Login My Account ... View Larger Image More Information Book Description Table of Contents Preface Features Buying Options Usually ships in 24 hours. Institutional and Volume Pricing Request a Review Copy Request an Instructor or Media review copy High Performance Cluster Computing: Programming and Applications, Volume 2 By Rajkumar Buyya Published by Prentice Hall PTR Save up to 25% Become a Member List Price: Discount: (Save 10%) Your Price: Dimensions 7 X 9-1/4; Pages: 664; Edition: 1st. Book Description Volume 1 of this two-volume set collected today's best work on the systems aspects of high performance cluster computing. Now, in High Performance Cluster Computing: Programming and Application Issues, Volume 2, Rajkumar Buyya brings together the world's leading work on programming and applications for today's state-of-the-art "commodity supercomputers." The book is organized into three areas: programming environments and development tools; Java(tm) as a language of choice for development in highly parallel systems; and state-of-the-art high performance algorithms and applications. All three areas have seen major advances in recent years-and in all three areas, this book offers unprecented breadth and depth. Coverage includes: New parallel programming techniques and tools, including MP and PVM, active objects, scoped behavior, and LiPS.

34. Programming Paradigms pvm programming paradigm. A user writes one or more sequential programsin C, C++ or Fortran 77 containing embedded calls to the PVM library. http://www.cs.ncl.ac.uk/modules/2002-03/csc305/TLTP_HPC_Course/PVM/NODEB4.HTM

Programming Paradigms Terms Functional Parallelism - an application can be parallelised along its functions so that each task performs a different function eg input, problem setup, solution, output and display. Data Parallelism - all the tasks are the same but each one only knows and solves a part of the data. This is also known as SPMD(single-program multiple data). PVM programming paradigm A user writes one or more sequential programs in C, C++ or Fortran 77 containing embedded calls to the PVM library. Each program corresponds to a task making up the application. The programs are compiled for each architecture in the host pool and the resulting object files are placed at a location accessible from machines in the host pool An application is executed when the user starts one copy of the application ie the `master' or `initiating' task, by hand from a machine within the host pool. The `master` process subsequently starts other PVM tasks, eventually there are a number of active tasks to compute and communicate to solve the problem. Tasks may interact through explicit message-passing using the system assigned opaque TID to identify each other.

35. PVM: Parallel Virtual Machine s and Source Code for the PVM examples....... PVM man pages Man pages. pvm programming Introduction Introduction to programmingwith PVM. http://www-2.cs.cmu.edu/Groups/pvm.shtml

PVM: Parallel Virtual Machine This page is still evolving... If you have any questions, comments, or suggestions, please send email. PVM allows you to program a heterogeneous network of machines as a single distributed memory parallel machine. The software is very portable and is a de facto standard for parallel programming in a heterogenous network environment. This PVM page is available in HTML form at http://hebe.nectar.cs.cmu.edu:8001/ http://www.cs.cmu.edu:8001/Web/Groups/pvm.html (without running examples) Current PVM News: PVM 3.3.3 Listing of new features found in PVM 3.3.3 PVM News Current articles from comp.parallel.pvm. PVM Documentation/Source Code: Project Overview A short writeup. (PostscriptLast updated 2/15/93.) Netlib Documentation Downloadable documentation and source code. PVM FAQ (Plain text) PVM Technical FAQ (Plain text) PVM 3.3 User's Guide and Reference Manual (Postscript) PVM 3.3 Quick Reference Card (Postscript) PVM 3.2 Listing of new features found in PVM 3.2. PVM man pages Man pages. PVM Programming: Introduction Introduction to programming with PVM.

36. 5.3 Examples this example are of special importance as they bridge the gap between the universalmonitoring interface and an interface adapted for the pvm programming model http://wwwbode.cs.tum.edu/~omis/OMIS/Version-2.0/version-2.0/node17.html

Next: 5.4 Interface Procedures Previous: 5.2 Introduction to Monitoring Services Subsections 5.3.1 Performance Analysis of PVM Programs 5.3.2 Debugging of MPI Programs 5.3 Examples In the following two subsections we will present short examples that will show how the monitoring interface supports different tools, namely a performance analysis system and a debugger. Although the basic services and extension services will not be defined until later in this document, their semantics should be intuitively clear in the examples. The primary goal is to give an impression of the interface's structure and expressiveness, rather than of its concrete services. 5.3.1 Performance Analysis of PVM Programs Assume that a performance analysis tool wants to measure the time spent by task 4178 in the call. In addition, the tool may want to know the total amount of data sent by this task, and it may want to store a trace of all barrier events. Then it may send the following service requests to the monitoring system: The tokens c_1...c_4 are identifiers for the conditional service requests. They are delivered by the monitoring system as a direct reply to the request. The fifth request, which is unconditional, does not yield such a token.

37. NIST SP2 Primer Message Passing With PVM(e) See the documentation PVM on Netlib for detailed information. Getting startedwith pvm programming. The call to enroll a program in PVM is http://math.nist.gov/~KRemington/Primer/mp-pvme.html

Message passing with PVM(e) PVMe is the IBM proprietary version of the widely used PVM message passing library from Oak Ridge National Laboratory. Its compatibility with the public domain PVM package generally lags one release behind. (For example, the current release of PVMe is compatible with PVM 3.2.6) We will assume that the reader has a basic understanding of the concept of message passing communication of data on distributed memory parallel architectures. PVM(e) is described here primarily by example, but for the interested reader, extensive PVM documentation is available from the PVM authors at PVM on Netlib and from the online documentation available on danube Setting up the PVM environment Before executing a PVM(e) message passing program, a ``Virtual Machine" (VM) must be initiated by the user. This is done by invoking what is known as the PVM(e) daemon, a process which sets up and maintains the information needed for PVM(e) processes to communicate with one another. In general, the user can ``customize" the VM by specifying which hosts it should include, the working directory for PVM processes on each host, the path to search for executables on each host, and so on. PVMe behaves slightly differently than PVM, since nodes are controlled through a Resource Manager. Rather than specifying particular nodes for the virtual machine, the user requests a certain number of nodes, and the Resource Manager reserves these nodes for that one particular user. This is to allow the user dedicated access to the High Performance Switch for the duration of their PVMe job.

38. CODE Visual Parallel Programming System CODE is a visual parallel programming system that composes sequential programs into parallel programs for sharedmemory multiprocessors and workstations running MPI or pvm. http://www.cs.utexas.edu/users/code/

CODE is a visual parallel programming system, allowing users to compose sequential programs into a parallel one. The parallel program is a directed graph, where data flows on arcs connecting the nodes representing the sequential programs. The sequential programs may be written in any language, and CODE will produce parallel programs for a variety of architectures, as its model is architecture-independent. Download CODE Screen Shot Publications FAQ ... HPCwire article Subscribe to CODE Enter your e-mail address: Archive A mailing list hosted by eGroups The CODE system can produce parallel programs for shared-memory and distributed-memory architectures, including networks of workstations. The newest version supports MPI and PVM -based networks, the IBM SP/2, Cray J and T3E series, Solaris and Linux Download CODE 2.3.0 released 8/4/2002 Here is a screen shot of CODE. Article on CODE: HPCwire , the on-line journal of high-performance computing, published an article on CODE entitled "Visual Parallel Programming May Come of Age with CODE" Here is a complete list of CODE-related papers available on-line.

39. PVM: Parallel Virtual Machine pvm ( Parallel Virtual Machine) is a software package that permits a heterogeneous collection of Unix Introduction to programming with pvm. NAG releases Numerical pvm Library and UT http://www.epm.ornl.gov/pvm/pvm_home.html

PVM (Parallel Virtual Machine) is a software package that permits a heterogeneous collection of Unix and/or Windows computers hooked together by a network to be used as a single large parallel computer. 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, which is available free thru netlib, has been compiled on everything from laptops to CRAYs. PVM enables users to exploit their existing computer hardware to solve much larger problems at minimal additional cost. Hundreds of sites around the world are using PVM to solve important scientific, industrial, and medical problems in addition to PVM's use as an educational tool to teach parallel programming. With tens of thousands of users, PVM has become the de facto standard for distributed computing world-wide. For those who need to know, PVM is Y2K compliant. PVM does not use the date anywhere in its internals. Current PVM News: EuroPVM-MPI 2004 Call for Papers . The 11th European PVM-MPI Meeting will be held in Budapest, Hungary

40. PVM And Parallel Programming pvm and Parallel programmingWhat is Parallel? ( Hardware)Flynns Taxonomy. SISD Single Instruction stream over a Single Datastream IBM PC, Mac, Sun, etc. Called scalar. machines. exploit functional parallelismMessage Passing. programming for multiple processors requires mes-sage passing http://acad.bryant.edu/~bblais/pdf/pvm_slides.pdf

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