81. Parallel Computing Homepage parallel computing on CIV homepage. I.FosterDesigning and building of parallel programs(HPF HPF draft; ADAPTOR Publications; HPF programming Course Notes; Writing http://zikova.cvut.cz/parallel/

Cesky English Parallel computing on CIV homepage IBM SP2 Parallel programing on line: I.Foster:Designing and building of parallel programs MHPCC Parallel Workshop Parallel Computig Works postscript: Message passing libraries on line: PVM MHPCC Parallel Workshop (PVM) PVM User's Guide and Tutorial MPI MHPCC Parallel Workshop (MPI) I.Foster:Designing and building of parallel programs (MPI) MPI The Complete Reference MPICH User's Manual ... MPI report MPL MHPCC Parallel Workshop (MPL) postscript: PVM PVM: Parallel Virtual Machine PVM3 User's Guide and Reference Manual PVMe User's Guide MPI MPI:A Message Passing Interface Standard User's Guide for mpich MPI: The Complete Reference MPL MPL Subroutine Reference HPF on line: MHPCC Parallel Workshop (HPF) I.Foster:Designing and building of parallel programs (HPF) IBM subset HPF comiler postscript: HPF draft ADAPTOR Publications HPF Programming Course Notes Writing Data Parallel Programs with HPF ... HPF Tutorial Automatic parallelization on line: MHPCC Parallel Workshop (XHPF) postscript: Forge XHPF Documentation PARDIGM Publications on line: Fortran 90 for Fortran 70 programmers postscript: Professional Programmer's Guide to Fortran77 Fortran 90 and Computational Science F90 Programming Course Notes F90 Tutorial ... ftp-archive (parallel) Work ot the author My diploma thesis: Parallelization of Sequential Code - MPL, HPF and Automatic Parallelization

82. Web Resources For Parallel Computing MPI, the most important standard for messagepassing programming. It is the onedeveloped at the Edinburgh parallel computing Center, listed elsewhere. http://www.eecs.umich.edu/~qstout/parlinks.html

Selected Web Resources for Parallel Computing This list is maintained at www.eecs.umich.edu/~qstout/parlinks.html where the entries are linked to the resource. Rather than creating a comprehensive, overwhelming, list of resources, I have tried to be selective, pointing to the best ones that I am aware of in each category. A slightly whimsical explanation of parallel computing. Glossary of terms pertaining to high-performance computing. Online training material: From Edinburgh Parallel Computing Center (EPCC): Courses include MPI, HPF, Mesh Generation, Introduction to Computational Science, HPC in Business. From NCSA: Courses include MPI, OpenMP, and multilevel parallel programming (MPI + OpenMP). Introduction to Effective Parallel Computing , a tutorial for beginning and intermediate users, managers, people contemplating purchasing or building a parallel computer, etc. ParaScope , a very thorough and up-to-date listing of parallel and supercomputing sites, vendors, agencies, and events, maintained by the IEEE Computer Society. Nan Schaller's extensive list of links related to parallel computing , including classes, people, books, companies, software.

83. B673, Advanced Scientific Computing: Parallel Programming The focus is on the practical modern use of parallel programming for numericalcomputing. Course Outline. The following outline is not a chronological one. http://www.cs.indiana.edu/classes/b673-bram/

B673: Advanced Scientific Computing Parallel Programming - Spring 2001 B673, Section 1368 2:30 PM - 3:45 PM 019 Lindley Hall Contents General information Course description Tentative course outline Assignments ... Lecture Notes General Information Instructor: Randall Bramley bramley@cs.indiana.edu email: bramley.cs.indiana.edu 301A Lindley Hall Prerequisites: P573 and Mathematics M471. A working knowledge of C/C++. Enough UNIX to write, manage, and run multifile programs, and to time algorithms and codes. Textbooks: Much of the course material will be scattered around the Web and in class. There are some outstanding books on the area of parallel computing, generally concentrating on one aspect or another. If you want to buy one, my recommendation is to wait until after the course is over, when you know what material is useful. Do not send books below to departmental printers! It is just a major waste of paper to do so, and our use of them will be negligible. MPI: The Complete Reference by Marc Snir, Steve Otto, Steven Huss-Lederman, David Walker, and Jack Dongarra is the most useful one for looking up MPI functions and their calling sequences. This covers MPI-1; the MPI-2 standard is already out but no books that I know of are yet available. Parallel Computing Works!

84. Lecture 2: Parallel Computing And Parallel Programming Lecture 2 parallel computing and parallel programming. parallel ComputationalModels SIMD Computation; MIMD Computation; SPMD Computation. http://www.doc.ic.ac.uk/~yg/course/syllabus98/node2.html

Next: Laboratory Lecture: Parallel Programming Up: Parallel Problem Solving (1998) Previous: Lecture 1: Introduction Lecture 2: Parallel Computing and Parallel Programming Parallel Computational Models SIMD Computation MIMD Computation SPMD Computation Behaviour of Parallel Computation Concurrency Synchronisation Process Nets Data Distribution Process Placement Load Balance Implicit Parallelism vs Explicit Parallelism Parallel Programming Models: Shared Memory Parallel Programming Model Message Passing Based Parallel Programming Model Data Parallel Programming Process Parallel Programming SPMD Parallel Programming Yike Guo Sun Jan 4 19:39:44 GMT 1998

85. LIACC --- Annual Plan For 1998 -- Declarative Programming And Parallel Computing Go backward to Introduction Go up to Top Go forward to parallel computingDeclarative programming and parallel computing. Research http://www.liacc.up.pt/aplan98/englpl98_2.html

Go backward to Introduction Go up to Top Go forward to Parallel Computing Declarative Programming and Parallel Computing Research in this area is being sponsored by the following projects: PROLOPPE: Parallel Logic Programming with Extensions Melodia: Models for Parallel Execution of Logic Programs - design and implementation Solving Contraints on Naturals (and Unification) Logic Programming Systems Parallel Execution of Logic Programs Graphical Environments and Logic Programming Constraint Programming ... Symbolic Music Processing

86. LIACC --- Annual Report 1997 -- Declarative Programming And Parallel Computing Go up to Activities on 1997 Go forward to Machine Learning and KnowledgeAcquisition Declarative programming and parallel computing. Projects. http://www.liacc.up.pt/arep97/englrep97_3.html

Go up to Activities on 1997 Go forward to Machine Learning and Knowledge Acquisition Declarative Programming and Parallel Computing Projects In this area during 1997 there were 9 ongoing projects. The total effort at LIACC was 12.8 men-years. PROLOPPE: Parallel Logic Programming with Extensions The goal for this project is to define and implement a novel language for Logic Programming using recent advances in the area. Effort at LIACC: 7.8 men-year Details on the topics that have been considered during last year: Intermediate Language Definition and Sequential Implementation There was continued work on developing the YAP system. The native code compiler was improved to support indexing. It was developed a generic mechanism for implementing extensions to the emulator. This mechanism provides a basis for extensions such as arrays and co-routining. Performance for X86 machines was substantially improved. Last, an high-level implementation scheme for tabulation was implemented. More information Study of semantic features of several type systems for declarative languages: an application of a characterization of type systems based on type constraints to the Curry type system, the Damas-Milner system and the Coppo-Dezani type system, and the comparison of two type languages for logic programming: regular types and regular deterministic types were made.

87. Parallel Computing Techniques Of Linear Programming And Symmetric Matrix Tridaig IPSJ MAGAZINE Abstract Vol.19 No.01 007. parallel computing techniques of LinearProgramming and symmetric matrix tridaigonalization. KANEDA Yukio ?1. http://www.ipsj.or.jp/members/Magazine/Eng/1901/article007.html

Last Upate¡§Thu Mar 22 15:39:44 2001 IPSJ MAGAZINE Abstract Vol.19 No.01 - 007 Parallel computing techniques of Linear Programming and symmetric matrix tridaigonalization KANEDA Yukio Faculty of Engineering, Kobe University A parallel processor systern which is organized with several minicomputers is expected to be practical use in the near future. The parallel compuing of Linear Programming Problems and tridiagonalization of the symmetric matrices are considered to be typical applications of it. So, we analized the parallel computing methods of LP algorithm(the revised simplex method together with the product form of the inverse of current basis)and Dr. Murata's tridiagonalization algorithm of the symmetric banded matrices. ¢¬Vol.19 No.01 Index Comments are welcome. Mail to address editj@ips j.or.jp , please.

88. FPCC : Conference Proceedings Alley) parallel programming for the Millenium Integration Throughout the UndergraduateCurriculum. Invited Papers. David Culler Teaching parallel computing on http://www.cs.dartmouth.edu/FPCC/papers/

Second Forum on Parallel Computing Curricula Sunday, June 22, 1997 Newport, RI Conference Proceedings Version 2.4 of July 1, 1997 The conference proceedings for FPCC currently contain only the regular papers and a few appropriate links for invited papers. We are hoping to include some of the invited papers in the near future. Note that papers with multiple authors are listed multiple times for easy reference. Prologue from the Program Chair David Kotz , Dartmouth College Computer Science Regular Papers Michael Allen , University of North Carolina at Charlotte (with Barry Wilkinson and James Alley) Parallel Programming for the Millenium: Integration Throughout the Undergraduate Curriculum James Alley , University of North Carolina at Charlotte (with Michael Allen and Barry Wilkinson) Parallel Programming for the Millenium: Integration Throughout the Undergraduate Curriculum Mark Goudreau , University of Central Florida Unifying Software and Hardware in a Parallel Computing Curriculum Peter Pacheco , University of San Francisco Using MPI to Teach Parallel Computing Willam E.

89. Programming Environments For Parallel Computing: A Comparison Of CPS, Linda, P4, programming Environments for parallel computing A Comparison of CPS, Linda, P4,PVM POSYBL, and TCGMSG (1994) (Make Corrections) (2 citations) Timothy G http://citeseer.nj.nec.com/mattson94programming.html

Programming Environments for Parallel computing: A Comparison of CPS, Linda, P4, PVM POSYBL, and TCGMSG (1994) (Make Corrections) (2 citations) Timothy G. Mattson Intel Corporation Supercomputer Systems Division... Home/Search Context Related View or download: fsu.edu/pub/cluste v_comparisons.ps.Z Cached: PS.gz PS PDF DjVu ... Help From: fsu.edu (more) Homepages: T.Mattson HPSearch (Update Links) Rate this article: (best) Comment on this article (Enter summary) Abstract: In this paper, six portable parallel programming environments are compared. For each environment, communication bandwidths are reported for simple 2 node and 4 node benchmarks. Reproducibility was a top priority, so these tests were run on an isolated ethernet network of identical SPARCstation 1 workstations. Earlier reports of this work omitted opinions reached during the benchmarking about the effectiveness of these environments. These opinions are included in this paper since they are based... (Update) Context of citations to this paper: More popular software system that was developed by Oak Ridge National Laboratory and the University of Tennessee and is still evolving PVM allows a heterogeneous collection of Unix computers to be viewed as a single large parallel computer. PVM can currently run on 30...

90. Visual Programming And Debugging For Parallel Computing Spring 1995 (Vol. 3, No. 1). pp. 7583 Visual Programmingand Debugging for parallel computing. http://www.computer.org/concurrency/pd1995/p1075abs.htm

Spring 1995 (Vol. 3, No. 1) p p. 75-83 Visual Programming and Debugging for Parallel Computing James C.  Browne, Syed I.  Hyder, Jack  Dongarra, Keith  Moore, Peter  Newton The full text of IEEE Parallel and Distributed Technology is available to members of the IEEE Computer Society who have an online subscription and a web account

91. LinuxHPC.org/LinuxHPTC.com - Linux High Performance Computing parallel programming Techniques and Applications Using Networked Workstations andparallel Computers , B Kai Hwang , Zhiwei Xu Scalable parallel computing. http://www.linuxhpc.org/pages.php?page=Books

92. Introduction To Parallel Computing, An: Design And Analysis Of Algorithms, 2/E - to parallel computing, 2e provides a basic, indepth look at techniques for thedesign and analysis of parallel algorithms and for programming them on http://www.aw.com/catalog/academic/product/1,4096,0201648652,00.html

Find Your Rep Publish with Us Customer Service Careers ... Statistics ABOUT THIS PRODUCT Description Table of Contents Features New To This Edition Appropriate Courses RELATED TITLES Parallel Programming / Concurrent Programming (Computer Science) Introduction to Parallel Computing, An: Design and Analysis of Algorithms, 2/E Ananth Grama Purdue University Vipin Kumar University of Minnesota Anshul Gupta IBM TJ Watson Research Center George Karypis University of Minnesota ISBN: 0-201-64865-2 Publisher: Addison-Wesley Format: Cloth; 856 pp Published: 01/16/2003 Status: Instock US: $69.00 You Save: $6.90 (10% off) Our Price: $62.10 Add to Cart Instructor Exam Copy Description Introduction to Parallel Computing, 2e provides a basic, in-depth look at techniques for the design and analysis of parallel algorithms and for programming them on commercially available parallel platforms. The book discusses principles of parallel algorithms design and different parallel programming models with extensive coverage of MPI, POSIX threads, and Open MP. It provides a broad and balanced coverage of various core topics such as sorting, graph algorithms, discrete optimization techniques, data mining algorithms, and a number of other algorithms used in numerical and scientific computing applications. AW Higher Education Group , a division of Pearson Education , a Pearson . E-mail webmaster@awl.com

93. Industrial Strength Parallel Computing : Programming Massively Parallel Processo Industrial Strength parallel computing ProgrammingMassively parallel Processors. http://hallcomputer.com/system-architecture/398.shtml

Industrial Strength Parallel Computing : Programming Massively Parallel Processors Home System Architecture by Alice E. Koniges (Editor) See More Details Hardcover - 432 pages (October 1999) Ap Professional; ISBN: 1558605401 ; Dimensions (in inches): 1.52 x 9.58 x 7.73 Reviews Book Description Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of renowned expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques. The book begins with a highly focused introductory course designed to provide a working knowledge of all the relevant architectures, programming models, and performance issues, as well as the basic approaches to assessment, optimization, scheduling, and debugging. Next comes a series of seventeen detailed case studiesall dealing with production-quality industrial and scientific applications, all presented firsthand by the actual code developers. Each chapter follows the same comparison-inviting format, presenting lessons learned and algorithms developed in the course of meeting real, non-academic challenges. A final section highlights the case studies' most important insights and turns an eye to the future of the discipline. Features Provides in-depth case studies of seventeen parallel computing applications, some built from scratch, others developed through parallelizing existing applications.

94. Parallel Computing Resources On The World Wide Web parallel computing resources on the World Wide Web. This document exists both asa WorldWide Web document (URL http//www.csc.fi/programming/web/) and as a http://www.csc.fi/programming/web/

Next: Local information at CSC Table of contents CSC homepage Parallel computing resources on the World Wide Web Juha Haataja June 18, 1997 This document exists both as a World-Wide Web document (URL http://www.csc.fi/programming/web/ ) and as a PostScript version CSC - Tieteellinen laskenta Oy PL 405, FIN-02101 Espoo For more information about parallel algorithms etc. contact Jussi Rahola Jussi.Rahola@csc.fi Juha Haataja Juha.Haataja@csc.fi Yrjö Leino Yrjo.Leino@csc.fi For help on technical problems etc. contact Kaj Mustikkamäki Kaj.Mustikkamaki@csc.fi Local information at CSC General information about parallel computing MPI (Message Passing Interface) PVM (Parallel Virtual Machine) ... References Next: Local information at CSC Table of contents CSC homepage Juha.Haataja@csc.fi

95. DINO - Language: Englisch - Computers - Parallel Computing - Programming Hilfe zu diesem Thema aufrufen. You are here DINO Language Englisch Computers parallel computing programming programming, Sprache/Language. Categories, http://www.dino-online.de/dino_page_ab83635ed30b6b12ffd2a35c6092125f.html

Suche Profi-Suche Katalog Video ... Produkte Suchen: Web-Seiten Video Audio Bilder Produkte Schon gewusst? Hier suchen Sie in 2 Milliarden Webseiten. Live-Suche: Was suchen andere Dino-Besucher? You are here: DINO Language Englisch Computers ... Parallel Computing Programming Programming Sprache/Language Categories Documentation Environments Languages Libraries MPI Tools Related Categories DINO - Language: Englisch - Computers - Parallel Computing - Projects DINO - Language: Englisch - Computers - Software - Operating Systems - Network Websites AppleSeed - Information for clustering and writing programs for Macintoshes using MPI. Source code, tutorials, and benchmarks. http://exodus.physics.ucla.edu/appleseed/ [Verwandte Websites] Jaguar - Java Access to Generic Underlying Architectural Resources - Jaguar is an extension of the Java runtime environment which enables direct Java access to operating system and hardware resources, such as fast network interfaces, memory-mapped and programmed I/O, and specialized machine instruction sets. http://www.cs.berkeley.edu/~mdw/proj/jaguar/

96. DINO - Language: Englisch - Computers - Parallel Computing - Programming - Langu Link öffnet sich in einem neuen Fenster Fortran parallel programming Systems FortranD of tools to support a standard model for parallel C++ computing. http://www.dino-online.de/dino_page_fa3c6620cd4bc31f5c4751ebee73a2b6.html

Suche Profi-Suche Katalog Video ... Produkte Suchen: Web-Seiten Video Audio Bilder Produkte Schon gewusst? Hier suchen Sie in 2 Milliarden Webseiten. Live-Suche: Was suchen andere Dino-Besucher? You are here: DINO Language Englisch Computers ... Programming Languages Languages Sprache/Language Categories APL Clean Erlang High Performance Fortran Sisal Tempo Related Categories DINO - Language: Englisch - Computers - Programming - Languages Websites Charm++ - An object-oriented portable parallel language built on top of C++. Source code, binaries, manuals, and publications. http://charm.cs.uiuc.edu/ [Verwandte Websites] CuPit 2 - Designed to express neural network learning algorithms. Compiler, documentation, and examples available. http://wwwipd.ira.uka.de/~hopp/cupit.html [Verwandte Websites] Emerald Distributed Programming Language - An object-oriented garbage-collected programming language. Research information, source code, and papers. http://www.cs.ubc.ca/nest/dsg/emerald.html [Verwandte Websites] Fortran Parallel Programming Systems - Fortran D is a data-parallel extension to Fortran. Documentation, papers, and software available.

97. Parallel Computing In the parallel computing Team's toolkit, for instance, will be aset of portable programming languages and compilers. Compilers http://archive.ncsa.uiuc.edu/alliance/partners/EnablingTechnologies/ParallelComp

About Us NCSA Alliance TeraGrid Outreach EOT Community Partnerships Private Sector Program Expeditions Atmospheric Discovery Community Codes Performance Engineering Petascale Data ... Scientific Workspaces User Information Getting Started Consulting Training Alliance Resources News Access Online data link Newsletter Press Room alliance Parallel Computing Promoting portable, efficient programming Scientists devote months-even years-to refining their programming codes for optimal performance on a particular architecture. Understandably then, they may be reluctant to use a new architecture-even one that promises greater capabilities-if, in order to use it, they have to take time away from their research to rewrite codes. Unless researchers do migrate to newer architectures, though, they cannot realize the sweeping increases in performance necessary for improving the resolution or scale of massive simulations, enabling the analysis of ever larger databases, or increasing the quality of images streaming from instruments. The Enabling Technologies Parallel Computing Team is providing researchers with an easy way to tap the scalable performance of parallel architectures without completely rewriting their applications. They are developing a toolkit filled with portable programming languages, libraries, and other advanced tools that make it easier for researchers to develop, move, and fine-tune applications. Supporting both conventional as well as emerging distributed shared-memory (DSM) and commodity cluster systems, the toolkit will enable researchers to readily use the architecture best suited for a given job.

98. Introduction To Parallel Computing Fundamentals of Distributed Memory computing (CTC); Introduction to parallel programming(MHPCC); Introduction to parallel computing I (NCSA); Overview of High http://arirang.snu.ac.kr/~yeom/pdp99.html

Introduction to Parallel and Distributed Computing Topics of Disscusion : Overview of the history of high performance computing Why parallel and distributed computing is needed Introduction to parallel computing Basics of Parallel Programming How to parallelize/distribute ? Message Passing : PVM MPI Distributed Shared Memory : CVM TreadMark Multithreaded Programming : Cilk Data parallel programming : HPF Typical Applications Monte Carlo Methods Molecular Dynamics N-Body Problems Paralle FFT Network of PCs and workstations Primary Resources : Designing and Building Parallel Programs Introduction to PVM (message passing library) PVM Courseware Introduction to CVM (distributed shared memory) ... Introduction to PRAM Other Resources : Lecture Notes in Parallel Computing for Undergraduates (JICS, UTK) An Introduction to Parallel Computing (CTC) Fundamentals of Distributed Memory Computing (CTC) Introduction to Parallel Programming (MHPCC) ... ParaStation Network Connection for PCs

99. Parallel Computing programming SMP system one should constantly keep in mind Classical computing schemefor this system is several a week point of any parallel system processes http://www.karganov.ru/Eng/parallel.html

Moscow State University Faculty of Computational Mathematics and Cybernetics Department of Computer System Architecture Parallel programming Konstantin Karganov, group 422 Scientific supervisor: professor A.N.Tomilin Moscow, 2000 Introduction Nowadays, the major way of increasing computers' productivity is parallelism. Because almost the only way of increasing computer speed (on certain elemental base) is making its components work simultaneously. It is clear, that computer with two central processor units will work faster than the single-processor one. And, in the ideal case, N-processor system is N times faster, than a single processor one. Usually, this speedup is unreachable, but in some cases parallel systems give even more effect - when a task allows very effective parallel algorithm to be applied. Some tasks of mathematical physics, that require grid calculations, can be solved in parallel very efficiently. At the time of extremely rapid information technologies development the necessity in fast large-scale computations is more than actual. Ordinary, single-processor computers do not give people enough computational power, that is why computers, used in serious, large-scale computations are all parallel. Thus, it is necessary to write programs for such computers (or computational systems, it is unclear where to make a bound). Parallel software is new and a very difficult branch of computer science, writing parallel programs still seems to be an art, rather than engineering. In this article the main ideas and methods of parallel programming for every type of parallel computational systems will be observed.

100. Parallel Computing At EMSL Research activities in applied parallel computing area at EMSL focus on interprocessorcommunications, highperformance input/output, programming models for http://www.emsl.pnl.gov:2080/docs/parsoft/

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