101. Internet Parallel Computing Archive An archive of software, documents and information on parallel and High Performance computing (HPC) including archives of usenet parallel newsgroups and special content about the occam language and http://www.hensa.ac.uk/parallel

Hosted by WoTUG at Computer Science Department University of Kent at Canterbury , UK Edited 1993-2000 by Dave Beckett News IPCA Mirrors Add Search Mail ... Environments and Systems LAM Hardware Vendors Languages ... OSes Topical Information Events Jobs IPCA Information Usage ... occam language Overview Occam For All project; Compilers: KRoC SPOC SGS-Thompson ... TDS and Toolset ; Docs: libraries Reference Acronyms Biblios Books Consultants ... Transputer processor Software Bibliographies DS-Links Networks, Routers and Transputers ... Article Archive and Crisis in HPC Workshop Southampton Belfast Cardiff ... WoTUG and NATUG WoTUG 22 conference Biblios NATUG ... Other lists Last Modified: 1st March 2000 Dave Beckett and WoTUG

102. Parallel Programming Laboratory Our goal is to develop technology that improves performance of parallelapplications while also improving programmer productivity. http://charm.cs.uiuc.edu/

Our goal is to develop technology that improves performance of parallel applications while also improving programmer productivity . We aim to reach a point where with our freely distributed software base, complex irregular and dynamic applications can be (a) developed quickly, and (b) perform scalably on machines with thousands of processors. Processor virtualization is one of our core techniques: the programmer divides the computation into a large number of entities, which are mapped to the available processors by an intelligent runtime system. This separation of concerns between programmers and the system is key to attaining both our goals together. Tools: Charm++ , a parallel C++ library, and AMPI , an adaptive MPI implementation, provide processor virtualization. They are supported by our research on intelligent runtime systems, including load balancing , and communication optimizations . We are developing performance visualization and analysis tools that can provide intuitive and specific feedback for improving performance. To further enhance programmer productivity, we are developing frameworks that automate domain-specific parallelization techniques, and producing

103. Parallel Computing Toolkit: Product Information level commands in parallel computing Toolkit are provided in Mathematica source form,so they can serve as templates for building additional parallel programs. http://www.wolfram.com/products/applications/parallel/

PreloadImages('/common/images2003/btn_products_over.gif','/common/images2003/btn_purchasing_over.gif','/common/images2003/btn_services_over.gif','/common/images2003/btn_new_over.gif','/common/images2003/btn_company_over.gif','/common/images2003/btn_webresource_over.gif'); Products Parallel Computing Toolkit Features Who's It For? ... Give us feedback Sign up for our newsletter: Unleash the Power of Parallel Computing Parallel Computing Toolkit brings parallel computation to anyone having access to more than one computer on a network or anyone working on multiprocessor machines. It implements many parallel programming primitives and includes high-level commands for parallel execution of operations such as animation, plotting, and matrix manipulation. Also supported are many popular new programming approaches such as parallel Monte Carlo simulation, visualization, searching, and optimization. The implementations for all high-level commands in Parallel Computing Toolkit are provided in Mathematica source form, so they can serve as templates for building additional parallel programs. Licensing Information On a network

104. OpenMP: Simple, Portable, Scalable SMP Programming EWOMP 99 Workshop on OpenMP OpenMP has recently emerged as an industry standardinterface for shared memory programming of parallel computer applications. http://www.openmp.org/

Simple, Portable, Scalable SMP Programming www.openmp.org Site Map Member Area Site Info Home In The Media Specifications Resources FAQ ... Member Area Final C/C++ 2.0 Spec Available The Final C/C++ 2.0 specification is available. cOMPunity We are pleased to announce the formation of an OpenMP Users Group: cOMPunity Fortran 2.0 Specification Available The OpenMP ARB has released version 2.0 of the OpenMP Fortran API Parallel Programming in OpenMP Parallel Programming in OpenMP , a book on the use of the OpenMP API's by Rohit Chandra et al is now available from Morgan Kaufmann Publishers. Public Discussion List Join a public discussion list on all aspects of OpenMP. Please click here for information on how to subscribe to the list. OpenMP Tutorial View the slides from the OpenMP programming tutorial presented at SuperComputing '99. Request for News Developers with new OpenMP products or updates can add an official OpenMP logo to their web site with a link back to www.openmp.org. Be sure to notify us.

105. Topic Area: Parallel Processing 2822562. B. Wilkinson and M. Allen, parallel programming Techniques and ApplicationsUsing Networked Workstations and parallel Computers, 2/E, Prentice Hall http://dsonline.computer.org/parallel/

PARALLEL PROCESSING DS HOME ARCHIVES ABOUT US SUBSCRIBE ... David A. Bader U. New Mexico dbader@ece.unm.edu Assoc. Professor and Regents' Lecturer in Electrical and Computer Engineering, University of New Mexico Director, High Performance Computing Laboratory. IEEE Computer Society Distinguished Speaker; NSF CAREER Award Recipient. Recent News: TCPP signs contract with EDAS for Conference Manuscript Management System Upcoming Parallel Processing Conferences: IPDPS 2005: The 19th IEEE International Parallel and Distributed Processing Symposium , Denver, CO, April 4-8, 2005. HiPC 2004: The 11th IEEE International Conference on High Performance Computing , Bangalore, India, 19-22 December, 2004. Cluster2004: IEEE International Conference on Cluster Computing , San Diego, CA, 20-23 September, 2004. SPAA 2004: The 16th ACM Symposium on Parallelism in Algorithms and Architectures , Barcelona, Spain, 2004. SC 2004: Bridging Communities , Pittsburgh, PA, November 6-12, 2004.

106. WANG'S BOOKSHELF (Parallel Computing) High Performance computing List by Oliver McBryan. Josh s list of parallel ProgrammingLanguages; CRPC Consortium archive (Center for Research on parallel http://www.umcs.maine.edu/~shamis/wang.html

Welcome to Jonathan Wang's Bookshelf on Parallel Computing WELCOME: IRIS.umcs.maine.edu // Local time: Fri Feb 3 14:16:36 EST 1995 Why parallel computing? ( Introduction How fast can it be? (The top 500 super computers, in postscript, size 10M) Contents: Distributed Batch Processing Parallel Computing Message Passing Shared Object Misc (yet to be sorted) Super Computers/labs Compiler/Parallelizer Benchmarks Fault Tolerance and Load Balance Parallel Software Comprehensive Links at Other Institutes Personal Stuff Mail Drop 1. Distributed Batch Processing dqs Distributed Queueing System, Tom Green (green@scri.fsu.edu), Florida State University nqs Network Queueing System, Brent A. Kingsbury, Sterling Software Inc. Another version from CERN. CONDOR Mike Litzkom (mike@cs.wisc.edu), Univeristy of Wisconsin DJM , Distributed Job Manager, University of Minnesota. LSBATCH, Utopia LSF Commercial product, documents only. University of Toronto network batch processing summery by Norbert Juffa (norbert@iit.com) A Comparison of Queueing, Cluster and Distributed Computing Systems

107. Alexa Web Search - Subjects > Computers > Parallel Computing > Programming Browse Choose a subject. OpenMP An API for multiplatform shared-memory parallelprogramming in C/C++ http://www.alexa.com/browse/general?catid=6658&mode=general

108. Software For MIMD Parallel Computers Paragon parallel programming Environment on a Network of Workstations. P4. tousevisualization environment for investigating performance of parallel computers. http://www.cacr.caltech.edu/resources/software.html

CACR Home Resources Index Major Computational ... Help Desk CACR Computing Resources Parallel Software Resources This page lists some archives and resources for parallel software. For mathematical software that runs on traditional sequential machines, there are the excellent services Guide to Available Mathematical Software and Netlib For those of you charmed by the siren of Fortran 90, there is a repository of free software maintained by NAG in Oxford UK A consortium trying to produce more MIMD software is the Ptools Consortium, some of whose members offer software: Argonne Cornell Theory Center , and Colorado Some particular software projects and programs are: CC++ and Fortran M Extensions of C++ and Fortran respectively to allow less painful parallel programming. Charm is a parallel programming system for developing programs which are portable across different MIMD machines and emphasize message driven execution. Enterprise Enterprise is a programming environment for designing, coding, debugging, testing, monitoring, profiling and executing programs in a distributed hardware environment. Illinois Concert is a parallel programming system that supports fine-grained object-oriented programming on massively parallel systems.

109. Practicum Structured Programming - Modula2 Practicum Structured programming Modula2 This is the homepage of theexercises part of J. Tiberghien s course programming Concepts . http://parallel.vub.ac.be/education/modula2/

Practicum Structured Programming Modula-2 compiler XDS demo's This is the homepage of the exercises part of J. Tiberghien 's course " Programming Concepts ". Information about the theory can be found on the Info Department website. Assistants: Jan Lemeire: jan.lemeire@vub.ac.be Johan Parent johan@info.vub.ac.be 1e kan ir 1e kan IA Exercises Topics A-M Oct - Dec Topics A - F Oct - Dec Project I Nov - Dec (30%) Practicum Exam Jan (70%) Jan herkansing Sep Sep Exercises Topics O - Q PACS Project Compiler Consult freely our Documentation Technology pages Modula2 compiler installation for Windows95/98/NT (Windows 2000/XP?): Expires 12th January 2002... XDS 2.45 XDS topspeed package (needed for the IO library that we use in the course) READ THIS BEFORE INSTALLATION: Install folder don't install XDS under "Program Files" or another folder with a space in its name!!! (create for example a folder /XDS) never use a folder with a space in its name! XDS doesn't understand this and gets mixed up. Update your version of XDS: just reinstall the new XDS in the same folder and overwrite the old folder also reinstall the topspeed package!

110. Programming Of Parallel Computers programming of parallel Computers, Spring 2004. The aims of the course are togive basic knowledge in parallel computers, algorithms and programming. http://www.it.uu.se/edu/course/homepage/algpar1/vt04/

Department of Information Technology Jarmo Rantakokko Programming of parallel computers Literature ... News Uppsala University Department of Information Technology Scientific Computing Programming of Parallel Computers Programming of Parallel Computers, Spring 2004 ( http://www.it.uu.se/edu/course/homepage/algpar1/vt04/ ) Teacher Jarmo Rantakokko Room 2339, Tel: 018 - 471 2977, E-mail: Aims of the course Computer simulations are used extensively both in industry and in academia. The demand for computing power is increasing faster and faster. To meet the demands parallel computers are becoming popular. Today, a powerful PC often contains two processors and it is easy to connect several PCs to a cluster, a powerful parallel computer. At the same time it is more difficult for the programmer to exploit the full capacity of the computer. The aims of the course are to give basic knowledge in parallel computers, algorithms and programming. To give knowledge in fundamental numerical algorithms and software for different parallel computers. To give skills in parallel programming. Course content Classification of parallel computers. Different forms of memory organisation and program control. Different forms of parallelism. Programming models; programming in a local name space using MPI and in global name space using OpenMP. Data partitioning and load balancing algorithms. Measurements of performance; speedup, efficiency, flops. Parallelization of fundamental algorithms in numerical linear algebra; matrix-vector and matrix-matrix multiplication. Parallel sorting and searching. Software for parallel computers. GRID computing.

111. Programming Of Parallel Computers programming of parallel Computers (NVP, DVP) Fall 2003. The aims of the course areto give basic knowledge in parallel computers, algorithms and programming. http://www.it.uu.se/edu/course/homepage/algpar1/ht03/

Department of Information Technology Scientific Computing Jarmo Rantakokko Programming of parallel computers ... News Uppsala University Department of Information Technology Scientific Computing Programming of Parallel Computers Programming of Parallel Computers (NVP, DVP) Fall 2003 ( http://www.it.uu.se/edu/course/homepage/algpar1/ht03/ ) Teacher Jarmo Rantakokko Room 2209, Tel: 018 - 471 2977, E-mail: jarmo Aims of the course Computer simulations are used extensively both in industry and in academia. The demand for computing power is increasing faster and faster. To meet the demands parallel computers are becoming popular. Today, a powerful PC often contains two processors and it is easy to connect several PCs to a cluster, a powerful parallel computer. At the same time it is more difficult for the programmer to exploit the full capacity of the computer. The aims of the course are to give basic knowledge in parallel computers, algorithms and programming. To give knowledge in fundamental numerical algorithms and software for different parallel computers. To give skills in parallel programming. Course content Classification of parallel computers. Different forms of memory organisation and program control. Different forms of parallelism. Programming models; programming in a local name space using MPI and in global name space using OpenMP. Data partitioning and load balancing algorithms. Measurements of performance; speedup, efficiency, flops. Parallelization of fundamental algorithms in numerical linear algebra; matrix-vector and matrix-matrix multiplication. Parallel sorting and searching. Software for parallel computers. GRID computing.

112. Qango : Science: Computer Science: Supercomputing And Parallel Computing: Progra Help. Home Science Computer Science Supercomputing and ParallelComputing programming, Suggest a Site. Science, etc. Categories http://www.qango.com/dir/Science/Computer_Science/Supercomputing_and_Parallel_Co

Chat Forums Free Email Personals Classifieds ... Help Qango Directory Programming all of Qango only this category Options Help Home Science ... Supercomputing and Parallel Computing > Programming Suggest a Site Science, etc Categories Languages Message Passing Interface (MPI) Threads Home ... Supercomputing and Parallel Computing > Programming Suggest a Site Home Suggest a Site Search ... Login

113. Introduction To Parallel Programming Various Methods. There are many methods of programming parallel computers.Two of the most common are message passing and data parallel. http://www.mhpcc.edu/training/workshop/parallel_intro/MAIN.html

SP Parallel Programming Workshop p a r a l l e l p r o g r a m m i n g i n t r o d u c t i o n Table of Contents Overview What is Parallelism? Sequential Programming The Need for Faster Machines ... References and More Information Overview What is Parallelism? A strategy for performing large, complex tasks faster. A large task can either be performed serially, one step following another, or can be decomposed into smaller tasks to be performed simultaneously, i.e., in parallel. Parallelism is done by: Breaking up the task into smaller tasks Assigning the smaller tasks to multiple workers to work on simultaneously Coordinating the workers Parallel problem solving is common. Examples: building construction; operating a large organization; automobile manufacturing plant The automobile analogy. Overview Sequential Programming Traditionally, programs have been written for serial computers: One instruction executed at a time Using one processor Processing speed dependent on how fast data can move through hardware Speed of Light = 30 cm/nanosecond Limits of Copper Wire = 9 cm/nanosecond Fastest machines execute approximately 1 instruction in 9-12 billionths of a second Overview The Need for Faster Machines You might think that one instruction executed in 9 billionths of a second would be fast enough. You'd be wrong.

114. PARA'02 Conference Home Page how these problems can be solved using mathematical modelling, efficient numericalmethods, advanced program development, and tools in parallel computing. http://www.csc.fi/para2002/

Main Sponsor: Sponsors: Conference on Applied Parallel Computing 3rd CSC Scientific Meeting 15 - 18 June 2002, Dipoli Congress Centre, Espoo, Finland Note: The PARA'02 conference is over. These pages are provided for historical and reference purposes. The conference presentations are now available in video recordings here . To view the video files you will need a suitable media player in your browser: MPEG-1 player or Real-player Also the conference proceedings are now available online (click the icon). They are published in the Springer series Lecture notes in Computer Science. J. Fagerholm, J. Haataja, J. Järvinen, M. Lyly, P. Råback, V. Savolainen (Eds.): Applied Parallel Computing Advanced Scientific Computing 6th International Conference, PARA 2002, Espoo, Finland, June 15-18, 2002. Proceedings LNCS 2367 CSC - Scientific Computing Ltd. will host the sixth International Conference on Applied Parallel Computing on June 15-18, 2002. The general theme of the conference is advanced scientific computing. The conference demonstrates the ability of advanced scientific computing to solve "real-world" problems, and highlights methods, instruments, and trends in future scientific computing. The conference begins with a one-day tutorial session on grid programming.

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