61. SAL- Parallel Computing - Programming Languages & Systems - Erlang Systems. User Comments None. See A Screen Shot? (Not Yet). SAL Home parallel computing programming Languages Systems Comments? SAL http://www-sor.inria.fr/mirrors/sal/C/1/ERLANG.html

Erlang Concurrency - Erlang has a process-based model of concurrency with asynchronous message passing. The processes are light-weight, i.e require little memory; creating and deleting processes and message passing require little computational effort. Hardware/OS independent - Erlang programs are compiled to byte code executed by the Erlang virtual machine. This makes a program portable on object-code level and possible to distribute over a network of heterogenous computers. Real-time - Erlang is intended for programming soft real-time systems where response times in the order of milliseconds are required. Continuous operation - primitives for code replacement in run-time. Robustness - mechanisms to detect run-time errors. Memory management - Erlang is a symbolic programming language with a real-time garbage collector. Distribution - no shared memory, all interaction between processes is by asynchronous message passing. The distribution is location transparent. The program does not have to consider whether the recipient of a message is a local process or located on a remote Erlang virtual machine. Integration - Erlang can easily call or make use of programs written in other programming languages. These can be interfaced to the system in such way that they appear to the programmer as if they were written in Erlang.

62. Programming Environments For Parallel Computing 1992 Nigel P. Topham, Roland N. Ibbett, Thomas Bemmerl (Eds.) programming Environmentsfor parallel computing, Proceedings of the IFIP WG 10.3 Workshop on http://www.informatik.uni-trier.de/~ley/db/conf/pepc/pepc1992.html

PEPC 1992: Edinburgh, Scotland, UK Nigel P. Topham Roland N. Ibbett Thomas Bemmerl (Eds.): Programming Environments for Parallel Computing, Proceedings of the IFIP WG 10.3 Workshop on Programming Environments for Parallel Computing, Edinburgh, Scotland, 6-8 April, 1992. IFIP Transactions A-11 North-Holland 1992, ISBN 0-444-89764-X DBLP Jeff Magee Naranker Dulay : MP: A Programming Environment for Multicomputers. 1-16 Dennis Gannon Jenq Kuen Lee Bruce Shei Sekhar R. Sarukkai ... Daya Atapattu : Sigma II: A Tool Kit for Building Parallelizing Compilers and Performance Analysis Systems. 17-36 Steve Sistare Don Allen Rich Bowker Karen Jourdenais ... Rich Title : Data Visualization and Performance Analysis in the Prism Programming Environment. 37-52 Christian Scheidler : A Graphical programming Environment for Parallel Embedded Systems. 53-65 Duane Szafron Jonathan Schaeffer Pok Sze Wong Enoch Chan ... Carol Smith : The Enterprise Distributed Programming Model. 67-76 Karsten M. Decker : ADE - An Application Development Environment for Transparent Use of Scalable Parallel Architectures. 77-86 Jun'ichi Tatemura Hanpei Koike Hidehiko Tanaka : HyperDEBU: A Multiwindow Debugger for Parallel Logic Programs. 87-105

63. Programming Environments For Parallel Computing dblp.unitrier.de programming Environments for parallel computing. PEPC1992 Edinburgh, Scotland, UK. Nigel P. Topham, Roland N. Ibbett http://www.informatik.uni-trier.de/~ley/db/conf/pepc/

Programming Environments for Parallel Computing PEPC 1992: Edinburgh, Scotland, UK Nigel P. Topham Roland N. Ibbett Thomas Bemmerl (Eds.): Programming Environments for Parallel Computing, Proceedings of the IFIP WG 10.3 Workshop on Programming Environments for Parallel Computing, Edinburgh, Scotland, 6-8 April, 1992. IFIP Transactions A-11 North-Holland 1992, ISBN 0-444-89764-X Contents DBLP: [ Home Author Title Conferences ... Journals Thu Apr 3 17:23:44 2003 by Michael Ley ley@uni-trier.de

64. Electricbrain Home: Index: Computers: Parallel Computing: Programming Famous quotes Something better 13 (sympathetic) Oh, What happened?Did your parents lose a bet with God? 14 (complimentary) You http://www.electricbrain.com/index/Computers/Parallel_Computing/Programming/

electricbrain Index Computers Parallel Computing : Programming home index write privacy ... Documentation Famous quotes: "But I don't want to go on the cart..." "Oh, don't be such a baby!" "But I'm feeling much better..." "No you're not... in a moment you'll be stone dead!" Monty Python, "The Holy Grail" Find someone: Old Friends New Friends Lost Love New Love ... privacy

65. SAL- Parallel Computing - Programming Languages & Systems - Maisie It can also be used as a parallel programming language. Other Linkshttp//may.cs.ucla.edu (UCLA parallel computing Laboratory) http://ceu.fi.udc.es/SAL/C/1/MAISIE.html

Maisie Maisie is a C-based simulation language that can be used for sequential and parallel execution of discrete-event simulation models. It can also be used as a parallel programming language. An object (also referred to as a PP for physical process) or set of objects in the physical system is represented by a logical process or LP. Interactions among PPs (events) are modeled by timestamped message exchanges among the corresponding LPs. One of the important distinguishing features of Maisie is its ability to execute a discrete-event simulation model using several different asynchronous parallel simulation protocols on a variety of parallel architectures. Maisie is designed to cleanly separate the description of a simulation model from the underlying simulation protocol, sequential or parallel, used to execute it. Maisie has a new generation called Parsec Current Version: License Type: Free for education, research, and non-profit purposes Home Site: http://may.cs.ucla.edu/projects/maisie/ Source Code Availability: Yes Available Binary Packages: Debian Package: No RedHat RPM Package: No Other Packages: No Targeted Platforms: UNIX, there are special instructions for compiling it on Linux boxes.

66. UCLA Parallel Computing Laboratory Projects, research, papers, and free parallel simulation languages.Category Computers Computer Science Research Institutes...... Publications; Slides and Presentations; Directions From the LA Int'lAirport. Courses parallel programming Simulation; Conferences http://pcl.cs.ucla.edu/

GloMoSim Projects Contract Projects Programming MAYA : Next Generation Performance Prediction Tools for Global Networks iMASH : Mobile Support for Heterogenous Clients POEMS : Performance Modeling of Parallel Systems AASERT : Science and Engineering Research Training GloMoSim : Scalable Mobile Network Simulator Parsec : Our Parallel Simulation Language MPISIM : MPI Simulator Maisie : The Predecessor to Parsec MIRSIM : Parallel Switch-level Circuit Simulation UC : A Data Parallel Language General Our Laboratory Information People : Faculty, Students, and Staff Research Sponsors About the Facility Recent Publications Slides and Presentations ... Directions : From the L.A. Int'l Airport Courses Conferences Related Web Sites and Links UCLA Computer Science Department ... UCLA Home Page You are visitor number to this page since 8-19-97. This site designed by Monnica Terwilliger and Richard A. Meyer Updated: Sep 30, 2002

67. UCLA Parsec Programming Language A C-based simulation language for sequential and parallel execution of discrete-event simulation models .Category Computers parallel computing programming Languages...... parallel computing Laboratory at UCLA, for sequential and parallel execution of discreteeventsimulation models. It can also be used as a parallel programming http://pcl.cs.ucla.edu/projects/parsec/

UCLA Parallel Computing Laboratory CURRENT PLATFORMS Solaris 2.5.1+ Solaris-x86 2.5.1+ Redhat Linux 6+ Windows NT/2000 Irix 6.4 FreeBSD 3.0 Parsec is a C-based simulation language, developed by the Parallel Computing Laboratory at UCLA, for sequential and parallel execution of discrete-event simulation models. It can also be used as a parallel programming language. Usage Issues Frequently Asked Questions Reading List for New Users Download Parsec Migrating from Maisie ... Applications Currently in Use User's Manual Introduction The Parsec Language Compiling Parsec Parallel Simulation Requirements ... PDF version UCLA Only Using Parsec at UCLA WORKSHOP '99 SLIDES DOMAINS GLOMO PROJECT PARSEC STATS You are visitor number 72170 to this page since 1-16-98. This page created by Monnica Terwilliger Last updated: Sunday, 18-Nov-2001 12:10:56 PST

68. WebGuest - Open Directory Computers Parallel Computing Documentation (5); Environments (10); Languages (43); Libraries (98). MPI@ (30);Tools (22). See also Computers parallel computing http://directory.webguest.com/index.cgi/Computers/Parallel_Computing/Programming

69. WebGuest - Open Directory Computers Parallel Computing oriented design framework for programming distributed memory HeNCE HeterogeneousNetwork computing Environment is a help programmers write parallel programs. http://directory.webguest.com/index.cgi/Computers/Parallel_Computing/Programming

70. UC Berkeley CS267 Home Page Spring 1996 Center; Using MPI Portable parallel programming with the MessagePassing Interfaceby W. Gropp, E. Lusk, and A. Skjellum; parallel computing Works, by G. Fox, R http://www.cs.berkeley.edu/~demmel/cs267/

U.C. Berkeley CS267 Home Page Applications of Parallel Computers Spring 1996 TuTh 12:30-2, 405 Soda Professor: Jim Demmel Office hours: T Th 2:15 - 3:00, F 1-2, or by appointment (send email) TA: Boris Vaysman Evening sessions: T 6:00, 405 Soda (at least 4 first weeks) Office hours: at ICSI by apt. (send email) Secretary: Bob Untiedt (send email) Survey on Use of the Videolink between CS267 at Berkeley and 18.337 at MIT (Filling this out is is a class requirement!) Announcements: (last updated Mon Apr 29 13:25:36 PDT 1996) Read CS267 Newsgroup CS267 Infocal information Spring 96 Class Roster (names, addresses, interests). Information on instructional accounts and cardkey access. Handouts Handout 1: Class Introduction for Spring 1996 Handout 2: Class Survey for Spring 1996 Assignment 1: Fast Matrix Multiply Evening session 1: Assignment1 related materials ... CS267 Spring 1994 Midterm Lecture Notes Lecture 1, 1/16/96: Introduction to Parallel Computing Lecture 2 (part 1), 1/18/96: Designing fast linear algebra kernels in the presence of memory hierarchies Lecture 2 (part 2), 1/18/96: The IBM RS6000/590 - architecture and algorithms. Lecture 3, 1/23/96: Overview of parallel architectures and programming models ... Lecture 29, 4/30/96: Parallelizing Compilers Final Projects Final Project Suggestions postscript version ) (to be updated from 1995 version) pSather related final project suggestions.

71. Bibliographies On Parallel Processing 195, Bibliography of the International Journal of High Speed computing,(2000). 192, Bibliography on parallel logic programming, (1991). http://liinwww.ira.uka.de/bibliography/Parallel/

The Collection of Computer Science Bibliographies Up: Mirror of the Collection of Computer Science Bibliographies Home Bibliographies on Parallel Processing You can add bibliographies and references to this collection! See also the bibliographies on distributed systems and telecommunications Search all bibliographies in this section Query: Options case insensitive Case Sensitive partial word(s) exact online papers only Results Citation BibTeX Count Only Maximum of matches Help on: [ Syntax Options Improving your query Query examples Boolean operators: and and or . Use to group boolean subexpressions. Example: (specification or verification) and asynchronous #Refs Bibliography Date Multiprocessor/Distributed Processing Bibliography MGNet Bibliography on multigrid, multilevel, and domain decomposition methods Bibliography on publications about supercomputers and supercomputing Bibliography relating to the Inmos Transputer ... Proceedings of the 1993 DAGS/PC Symposium (The Second Annual Dartmouth Institute on Advanced Graduate Studies in Parallel Computation) Total number of references in this section Other Bibliographies on Parallel Processing liinwwwa@ira.uka.de

72. Parallel Computing Toolkit For Mathematica: Inexpensive Computing Solution With parallel computing Toolkit implements many parallel programming primitives andincludes highlevel commands for parallel execution of operations such as http://www.wolfram.com/news/pct.html

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'); News Archive Events MATHwire Technical Software News ... Feedback form Sign up for our newsletter: Parallel Computing Toolkit Provides Inexpensive Computing Solution with High Functionality February 7, 2000With the release of Parallel Computing Toolkit , Wolfram Research officially introduces parallel computing support for Mathematica Parallel Computing Toolkit for Mathematica makes parallel programming easily affordable to users with access to either a multiprocessor machine or a network of heterogeneous machineswithout requiring dedicated parallel hardware. Parallel Computing Toolkit can take advantage of existing Mathematica kernels on all supported operating systemsincluding Unix, Linux, Windows, and Macintoshconnected through TCP/IP, thus enabling users to use existing hardware and Mathematica licenses to create low-cost "virtual parallel computers."

73. Wolfram Research Announces Parallel Computing Support For Mathematica entirely within Mathematica, says Roman Maeder, creator of the parallel ComputingToolkit, author of several books on Mathematica programming, and one of the http://www.wolfram.com/news/parallel.html

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'); News Archive Events MATHwire Technical Software News ... Feedback form Sign up for our newsletter: Wolfram Research Announces Parallel Computing Support for Mathematica Wolfram Research is introducing parallel computing support for Mathematica. Now entering its beta test phase, the upcoming Parallel Computing Toolkit will add parallel programming over a network of heterogeneous machines to the long list of programming paradigms supported in Mathematica. "I am really excited that one can now do interactive parallel symbolic, numeric, and graphic computation entirely within Mathematica," says Roman Maeder, creator of the Parallel Computing Toolkit, author of several books on Mathematica programming, and one of the original Mathematica developers. "One of my key motivations for writing this package was to finally make serious parallel computing truly accessible to a wide range of workgroups, labs, and classrooms." The Parallel Computing Toolkit brings parallel computation to anybody having access to more than one computer on a network. 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 the

74. Esprit - High Level Programming For Parallel Computing High Level programming for parallel computing. The High PerformanceFortran tools facilitate the writing of parallel programs for http://www.cordis.lu/esprit/src/results/pages/infotec/inftec16.htm

High Level Programming for Parallel Computing The High Performance Fortran tools facilitate the writing of parallel programs for use in the new generation of parallel computers. A result from Esprit, the European Union's IT research and development programme. The widespread adoption of parallel computing is currently restricted by the time consuming and error prone nature of existing programming languages present major barriers to this. High Performance Fortran (HPF) is making the writing of parallel programmes very much easier than was possible previously and is helping bring distributed memory systems into the general scientific community. Recognising the importance of HPF in the new market for parallel machines, N.A. Software and its partners set about the development of new compilation techniques demanded by HPF and Fortran90, on which it is based. The HPF Mapper forms the spearhead of a range of Fortran90 tools now available. It acts as a source-to-source translator, producing highly efficient Fortran90 code, with message passing calls, from a subset HPF program. Versions of the library are available for any system supporting the MPI, PARMACS or PVM message passing subsystems. The Mapper is the first compiler for HPF to be produced anywhere in Europe, and one of the first in the world. A set of complementary tools have also been developed by N.A. Software, which include a

75. Distributed And Parallel Computing authors illustrate them in a wide variety of algorithms and programming languages Manybooks on parallel computing have been published during the last 10 years http://www.manning.com/El-Rewini/

Distributed and Parallel Computing Inside the book Contents Preface Introduction Chapter 10 ... Book Reviews About the book Readers also bought About the authors The Publisher In press ... Contact us Order Distributed and Parallel Computing Hesham El-Rewini and Ted G. Lewis 1997, Hardbound, 469 pages ISBN 1884777511 Our price: 60.00 Currently Out of Stock Send email to webmaster@manning.com for more information. Distributed and Parallel Computing is a comprehensive survey of the state-of-the-art in concurrent computing. It covers four major aspects: Architecture and performance Theory and complexity analysis of parallel algorithms Programming languages and systems for writing parallel and distributed programs Scheduling of parallel and distributed tasks Cutting across these broad topical areas are the various "programming paradigms", e.g., data parallel, control parallel, and distributed programming. After developing these fundamental concepts, the authors illustrate them in a wide variety of algorithms and programming languages. Of particular interest is the final chapter which shows how Java can be used to write distributed and parallel programs. This approach gives the reader a broad, yet insightful, view of the field. Many books on parallel computing have been published during the last 10 years or so. Most are already outdated since the themes and technologies in this area are changing very rapidly. Particularly, the notion that parallel and distributed computing are two separate fields is now beginning to fade away; technological advances have been bridging the gap.

76. PPL Web Page An objectoriented portable parallel language built on top of C++. Source code, binaries, manuals, Category Computers parallel computing programming Languages...... http://charm.cs.uiuc.edu/

77. Programming For Parallel And High-Performance Computing programming for parallel and HighPerformance computing.Created 12/9/94, Modified 11/22/95. http://www.kanadas.com/parallel/

Programming for Parallel and High-Performance Computing Created: 12/9/94, Modified: 11/22/95. See also [Parent page] [Kanada's home page in English] [Kanada's home page in Japanese] Indices and General Information Yahoo Server Parallel Languages , including pC++/Sage++, CC++, Fortran M, etc. Supercomputing and Parallel Computing Language List: Parallel (search) by Jonathan Hardwick Software Engineering Topics ( Nearly empty on 12/8/94 David A. Bader's Home Page , which contains CM-5 References, ... Reading List on Parallel Programming Languages by Guy E. Blelloch, including Data parallelism, Explicit communication models, Functional languages, Non-determinism, Automatic parallelization, The real world, and so on. Jonathan Wang's Bookshelf on Parallel Computing , including Distributed Batch Processing, Parallel Computing (Message Passing, Shared Object, Misc), Super Computers/labs, Compiler/Parallelizer, Benchmarks, Fault Tolerance and Load Balance, Parallel Software, Comprehensive Links at Other Institutes, and so on. Research Area "Parallel Computing" An Introduction Documentation for Parallelists HPCC Blue Book - TOC HP Fortran Draft, Archives, Papers, ...

78. MHHE: SCALABLE PARALLEL COMPUTING: Technology, Architecture, Programming SCALABLE parallel computing Technology, Architecture, programming AuthorsKai Hwang, University of Hong Kong Zhiwei Xu, Chinese Academy of Sciences. http://www.mhhe.com/catalogs/0070317984.mhtml

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79. PCOMP parallel and High Performance computing (HPC) are highly dynamic fields. PCOMP isnot an exhaustive compendium of all links related to parallel programming. http://www.npaci.edu/PCOMP/

About PCOMP Feedback Search My PCOMP ... User Groups Parallel and High Performance Computing (HPC) are highly dynamic fields. PCOMP provides parallel application developers a reliable, "one-stop" source of essential links to up-to-date, high-quality information in these fields. PCOMP is not an exhaustive compendium of all links related to parallel programming. PCOMP links are selected and classified by SDSC experts to be just those that are most relevant, helpful and of the highest quality. PCOMP links are checked on a regular basis to insure that the material and the links are current. * This site must currently be viewed with Internet Explorer ( http://www.microsoft.com/windows/ie/default.asp ) or Opera ( http://www.opera.com/ ) browsers.

80. An Introduction To Parallel Computing On Clusters Of Machines programming environments for parallel and distributed computing generally fallinto three classes based on how the parallelism in the problem is achieved http://www.ats.ucla.edu/at/hpc/parallel_computing/default.htm

An Introduction to Parallel Computing on Clusters of Machines On this page: Motivation Machine Architectures for Parallel Computing Communication Mechanisms Parallel Programming Standards ... Terminology Motivation Researchers always need higher processing speed and more memory in order to investigate increasingly complex problems. Distributed parallel computing can be very cost effective when commodity workstations and PCs are used as the computing platforms. Early in 1992, ATS started building an IBM AIX/Cluster that evolved into the IBM SP/ Cluster complex with the SP, IBM's 9076 Scalable POWERParallel System at its core . In 1998, ATS started building clusters of PC's running Windows NT and LINUX. By 2002 ATS was running a production Beowulf (Linux) cluster and had decommissioned the SP. Now, many UCLA departments are running local Beowulf clusters of their own and ATS has been assisting departments and professors in building clusters.. The development of new parallel applications and the parallelization of existing sequential or serial applications to fully exploit the power of a distributed system, such as a cluster, is a complex task

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