Geometry.Net - Basic_P: Pvm Programming

VPP Userguide: Programming Languages
pvm and MPI. The pvm and MPI message passing libraries for parallelprogramming is available on the VPP300. To find further details
http://anusf.anu.edu.au/VPP/Userguide/programming.html

Extractions: [VPP] Fujitsu's Fortran90 compiler, frt , is a complete and robust Fortran90 implementation that is also entirely compatible with FORTRAN77EX/VP that was on the VP2200. That is, frt on the VPP300 is a superset of frt on the VP2200 so that porting from the VP to the VPP should be trivial. The only differences are in the frt compiler options the most significant being that vectorization is the default and -Wv only controls vectorization attributes. There are quite a few new optimization compiler options both for vectorization and for the LIW scalar processor. At present the best combinations are not known so you may have to experiment (let us know what you find out). A number of the options are specific to Fortran90: Check the frt man page to see what is relevant to you. For more complete information, look at the
Implementing Split-C/PVM A Shared Memory SPMD Programming Model On A Distributed
Implementing SplitC/pvm A Shared Memory SPMD programming Model On a DistributedEnvironment. Nanri Takeshi ?1 , Sato Hiroyuki ?2 , Shimasaki Masaaki ?2.
http://www.ipsj.or.jp/members/SIGNotes/Eng/12/1995/057/article006.html

Extractions: In our work, we implemented Split-C/PVM, a shared memory SPMD programming language on workstation cluster environment. Split-C was originally developed for a distributed memory parallel machine. We ported Split-C on a distributed computing environment using PVM. Split-C/PVM can be a uniform distributed computing platform because PVM is a portable message passing library package for distributed environment. We used matrix multiplication as a benchmark. From the result, Split-C/PVM proved to be competitive with Message Passing model of PVM and parallel computer CM-5. So we can conclude that we implemented shared memory system sufficiently efficient. ¢¬Index SIGNotes High Performance Computing No.057
NIST SP2 Primer Distributed-memory Programming
An alternative is to give up the pvm portability edge and use IBM's Further, manyof IBM's parallel programming tools for tasks such as program visualization
http://gams.nist.gov/~KRemington/Primer/distrib.html

Extractions: If you have not already discovered this, you will probably soon realize that there are significant differences in programming a distributed-memory (DM) machine compared to a conventional machine. In fact, some might say there is a real "art" to DM programming, and a way of thinking that just is not required elsewhere. The primary reason DM machines are more difficult to use is the fact that, not only is the data in memory distributed, but, in general, the programmer is responsible for ensuring that data is in the right spot at the right time , typically by using a message passing library to send and receive data across a network to and from processing nodes in the machine. (A notable exception, of course, is virtual shared-memory machines, such as the KSR, which have operating systems designed to manage distributed data without explicit user control.) This responsibility on the shoulders of the user is far from trivial, particularly considering the fact that data movement across a network doesn't always behave predictably. When data messages are delayed due to backlog on the network, for example, program synchronization becomes an issue, and a given program may not behave deterministically - a characteristic that many programmers have always taken for granted and counted on as an indisputable fact. Where does the "art" come in? Primarily in finding the right way to view an application so that a data distribution which maximizes efficiency comes to the fore. It's likely that with enough effort, virtually any distribution of data across a machine can be made to work. However, if the goal is to have a program that actually runs
PARALLEL PROGRAMMING TOOLS
in Parallel programming, Prentice Hall, 1989. Adam Beguelin, Jack Dongarra, AlGeist, Robert Manchek, and Vaidy Sunderam, A Users' Guide to pvm, Oak Ridge
http://www.sdsc.edu/GatherScatter/gsmar92/ParallelProgTools.html

Extractions: by Marsha Jovanovic (Marsha Jovanovic is G/S editor. Gary Hanyzewski, Jayne Keller, Booker Bense, Carl Scarbnick, Bob Leary, and Reagan Moore also contributed to this article.) With Multiple-Instruction-Multiple-Data (MIMD) computers clearing the way for record-breaking computation speeds, scientific programmers of the 90s are being pulled into the world of parallel programming. Using large numbers of fast processors, MIMD computers break computational problems into pieces of moderate size that can be processed quickly and independently. All programmers have to do is figure out how to divide the data or the workload among the processors to take best advantage of their processing power. Does it sound complicatedperhaps a bit schizophrenic? Perhaps. But one thing is certain: programming for parallel computers is here to stay. Indeed, developing a parallel programming environment is a priority for all the NSF supercomputer centers. SDSC scientists and programmer/analysts already are working themselves through the parallel programming maze (see "The parallelization of MOPAC" in this issue for a detailed example and "Running in parallel" in G/S January-February for more about the SDSC parallel processing effort in general). This article tells you something about the programming problem and introduces you to some of the parallel programming tools available at SDSC.
Programming Technique For SR2201
The summary for this Japanese page contains characters that cannot be correctly displayed in this language/character set.
http://madeira.cc.hokudai.ac.jp/RD/emaru/MPP/PROG/PVM/

Extractions: PATH¤ÎÄÉ² ¤¯¤é¤¤¤Î´Ä¶ÀßÄê¤ò¤·¤Æ¤ä¤ê¤Þ¤¹¡£¥Ñ¡¼¥Æ¥£¥·¥ç¥ó(´Ä¶ÊÑ¿ôDEFPART)¤ò¾å¤Î¤è¤¦¤Ë»ØÄê¤¹¤ë¤È¥Ç¥Õ¥©¥ë¥È¤Ç8PE³ÎÊÝ¤µ¤ì¤Þ¤¹¡£ ¤³¤ì¤ò .cshrc % mkdir $HOME/pvm3 % ln -s /usr/pvm3/lib ~/pvm3/lib % cp -r $PVM_ROOT/examples $HOME/pvm3 % cd $HOME/pvm3/HMPP % make -f ../Makefile.aimk % cd $HOME/pvm3/bin/HMPP(make¤ÇÀ¸À®¤µ¤ì¤Þ¤¹) % pvm pvm>swawn hello ¤È¤«¤ä¤ë¤Èhello¤È¤¤¤¦¥×¥í¥°¥é¥à¤¬¼Â¹Ô¤µ¤ì¤Þ¤¹¡£ ·ë²Ì¤Ï¥í¥°¥Õ¥¡¥¤¥ë¤Ë»Ä¤ê¤Þ¤¹¡£ Æ¤Ë»ØÄê¤·¤Ê¤±¤ì¤Ð/tmp¤ËÖ¤«¤ì¤Þ¤¹¡£ pvm> pvm>halt % make all ¤È¤«¤¹¤ë¤È¡¢¥µ¥ó¥×¥ë¥×¥í¥°¥é¥àÁ´¤Æ¤¬¥³¥ó¥Ñ¥¤¥ë¤µ¤ì¤Þ¤¹¡£ ¥×¥í¥°¥é¥à¤Î¼Â¹Ô¤Ï¥³¥Þ¥ó¥É¥é¥¤¥ó¤«¤é¤Ç¤âpvm¥³¥ó¥½¡¼¥ë¤«¤é¤Ç¤â¤Ç¤¤Þ¤¹¡£ ¥³¥Þ¥ó¥É¥é¥¤¥ó¤«¤é¤À¤È¥×¥í¥°¥é¥àÌ¾¤À¤±¤Ç¤¹¤¬ pvm¥³¥ó¥½¡¼¥ë¤«¤é¼Â¹Ô¤¹¤ë¾ì¹ç¤Ï >pvm spawn ¥×¥í¥°¥é¥àÌ¾ ¤È¤·¤Æ¤ä¤ëÉ¬Í×¤¬¤¢¤ê¤Þ¤¹¡£ ¤È¤ê¤¢¤¨¤ºÀÎ¥ï¡¼¥¯¥¹¥Æ¡¼¥·¥ç¥óÍÑ¤ËÁÈ¤ó¤À¥×¥í¥°¥é¥à¤¬¤½¤Î¤Þ¤Þ Æ°¤¤¤¿¤Î¤Ç¡¢º£¤Þ¤ÇPVM¤ò»È¤¤¿¤³¤È¤Î¤¢¤ë¿Í¤Ê¤é¤½¤ó¤Ê¤Ë¶ìÏ«¤¹¤ëÅÀ¤Ï ¤Ê¤¤¤È»×¤¤¤Þ¤¹¡£ http://www.epm.ornl.gov/pvm/
2 Programming Models
user with a Single Program Multiple Data (SPMD) model for programming the machine. Thiscontrasts with the model presented by network pvm, where each processor
http://www.epcc.ed.ac.uk/t3d/documents/porting/section3_2.html

Extractions: Next: 2.1 Standalone Mode Up: Notes on porting PVM Previous: 1 Introduction The Cray T3D presents the user with a Single Program Multiple Data (SPMD) model for programming the machine. This means that every processor in a partition has a copy of the same executable, one per processor, and that each of these processes is started at the same time. (The initialisation of these processes is handled by mppexec This contrasts with the model presented by network PVM, where each processor is able to spawn processes on demand. In this model an initial process is generally responsible for spawning any other processes needed for the computation. This model is illustrated in figure Cray provides two flavours of PVM for the T3D: Stand alone mode : When operating in this mode the PVM message passing calls are used to communicate between PEs in a T3D application. The process configuration functions of PVM, e.g. PVMFSPAWN etc., are not used. This mode is illustrated in figure : note particularly that there are no PVM daemon processes, and that PVM passes no messages between processes running on the T3D and on the YMP front-end - in fact no YMP processes are directly involved in the computation. Standalone mode is the recommended mode of use for PVM on the T3D, and is discussed in more detail in section
Index Of /ftp/pub/unix/programming/pvm
Parent Directory 16Sep-1996 1024 - euro-pvmug94.gzIndex of /ftp/pub/unix/programming/pvm. Name Last modified Size
http://www.elka.pw.edu.pl/ftp/pub/unix/programming/pvm/

Extractions: Index of /ftp/pub/unix/programming/pvm Name Last modified Size Description ... Parent Directory 16-Sep-1996 10:24 - euro-pvmug94.gz 14-Oct-1995 14:31 4k index 14-Oct-1995 14:31 2k pvm3.3.5.shar.gz 14-Oct-1995 14:31 417k 14-Oct-1995 14:31 338k pvmtest.32.tar.gz 14-Oct-1995 14:31 36k pvmug94.gz 14-Oct-1995 14:31 3k pvmug94.program.gz 14-Oct-1995 14:31 5k refcard 14-Oct-1995 14:31 77k refcard.ps.gz 14-Oct-1995 14:31 23k team_pvm.ps.gz 14-Oct-1995 14:31 67k 14-Oct-1995 14:31 19k 14-Oct-1995 14:31 255k writeup.ps.gz 14-Oct-1995 14:31 13k 14-Oct-1995 14:31 31k 14-Oct-1995 14:31 47k 14-Oct-1995 14:31 24k xpvm.src.tar.z.uu 14-Oct-1995 14:31 306k
PVM/MPI 1997
Jose Libano Alonso, H. Schmidt, Vassil N. Alexandrov Parallel Branch and Bound Algorithmsfor Integer and Mixed Integer Linear programming Problems under pvm.
http://www.informatik.uni-trier.de/~ley/db/conf/pvm/pvm1997.html

Extractions: Marian Bubak Jack Dongarra Jerzy Wasniewski (Eds.): Recent Advances in Parallel Virtual Machine and Message Passing Interface, 4th European PVM/MPI Users' Group Meeting, Crakow, Poland, November 3-5, 1997, Proceedings. Lecture Notes in Computer Science 1332 Springer 1997, ISBN 3-540-63697-8 DBLP William Gropp Ewing L. Lusk : Why Are PVM and MPI So Different? 3-10 Jacek Kitowski K. Boryczko Jacek Moscinski : Comparison of PVM and MPI Performance in Short-Range Molecular Dynamics Simulation. 11-16 J. Piernas A. Flores : Analyzing the Performance of MPI in a Cluster of Workstations Based on Fast Ethernet. 17-24 Michael Resch Holger Berger : A Comparison of MPI Performance on Different MPPs. 25-32 Francisco Almeida : Predicting the Performance of Injection Communication Patterns on PVM. 33-40 : Evaluation of the Communication Performance on a Parallel Processing System. 41-48 Paulo S. Souza Luciano J. Senger Regina Helena Carlucci Santana : Evaluating Personal High Performance Computing with PVM on Windows and LINUX Environments. 49-56 Piotr W. Uminski
Programming Model In Parallel Genesis
a simulation across a compuational platform that supports the pvm message passinglibrary This document describes the programming model used in Parallel Genesis.
http://www.psc.edu/general/software/packages/pgenesis/project_docs/progmodel.htm
Parallel Virtual Machine (PVM) Version 3
Index for pvm3 Library Click here to see the number of accesses to this library. pvm Version 3 = This directory contains a number of items relating to pvm version 3. and InstallShield versions of pvm file writeup.ps for
http://www.netlib.org/pvm3

Extractions: Click here to see the number of accesses to this library. PVM is particularly effective for heterogeneous applications that exploit specific strengths of individual machines on a network. As a loosely coupled concurrent supercomputer environment, PVM is a viable scientific computing platform. The PVM system has been used for applications such as molecular dynamics simulations, superconductivity studies, distributed fractal computations, matrix algorithms, and in the classroom as the basis for teaching concurrent computing. PVM Home Page PVM: A Users' Guide and Tutorial for Networked Parallel Computing Network Computing Working Notes: Reports about our activities. PVM Frequently Asked Questions # PVM Version 3 # ============= # This directory contains a number of items relating to PVM version 3. # # To obtain a short (1 page) writeup on the projects send mail to # netlib@ornl.gov, in the mail message type: # send writeup.ps from pvm3 # lib for Win32 Zip and InstallShield versions of PVM file writeup.ps
An Introduction To PVM, QUB
An Introduction to pvm. Parallel Virtual Machine. Version 3.1. January1996. Acknowledgements. Reference. pvm Parallel Virtual Machine.
http://www.pcc.qub.ac.uk/tec/courses/pvm/ohp/pvm-ohp.html

Extractions: The Queen's University of Belfast Parallel Computer Centre [Next] [Previous] [Top] Initially this course was based on a short course prepared by Nilesh Raj, High Performance Computing Centre, University of Southampton. The original material was completely rewritten and substantially extended by Ruth Dilly and Alan Rea of the Parallel Computer Centre, The Queen's University of Belfast. PVM: Parallel Virtual Machine. A User's Guide and Tutorial for Networked Parallel Computing A.Giest, A.Beguelin, J. Dongarra, et. al. The Mit Press Course notes: 9.30 - 10.30 Introduction to PVM 10.30 - 10.45 Coffee (Note: spare 15 mins) 11.00 - 11.30 PVM Console 11.30 - 12.00 Practical 1 - Using the Console 12.00 - 12.30 Example PVM Programs 12.30 - 1.00 Practical 2 - Compilation and Execution of PVM Programs 1.00 - 2.00 Lunch
Parallel Programming Resources
http://www.utexas.edu/math/parallel/bytopic.html

Extractions: Click on a topic to skip to that section. IBM POWERparallel Systems Products IBM's home page for its Scalable POWERparallel (SP) Systems Contains pointers to information on the SP-2 processors and high switch, the Parallel Environment, Load Leveler, and other software. IBM High-Performance Computing IBM High-Performance Computing page, some of this information is outdated by the above site. CERN SP2 Service page CERN has recently acquired an SP 2 machine to replace a VM system. This site contains some excellent documentation on getting started with the SP2 and an AIX for VM users guide. IBM AIX Parallel Environment This WWW page describes the software provided by IBM with the SP-2 system which supports parallel program development and execution. LoadLeveler IBM's load balancing and resource managment facility for parallel or distributed computing environments.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

81-92 of 92 Back | 1 | 2 | 3 | 4 | 5