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         Parallel Computing:     more books (100)
  1. Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series) by Marco Tomassini, 2010-11-30
  2. Massively Parallel, Optical, and Neural Computing in Japan, (German National Research Center for Computer Scie)
  3. Applied Parallel Computing. Large Scale Scientific and Industrial Problems: 4th International Workshop, PARA'98, Umea, Sweden, June 14-17, 1998, Proceedings ... Notes in Computer Science) (v. 1541)
  4. Massively Parallel, Optical, and Neural Computing in the United States, by Robert Moxley, Gilbert Kalb, 1992-01-01
  5. Concurrent and Parallel Computing: Theory, Implementation and Applications
  6. Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science Series)
  7. Tools and Environments for Parallel and Distributed Computing (Wiley Series on Parallel and Distributed Computing)
  8. Handbook of Sensor Networks: Algorithms and Architectures (Wiley Series on Parallel and Distributed Computing)
  9. Parallel Computing: Principles and Practice by T. J. Fountain, 2006-11-23
  10. Introduction to Parallel Computing by Ted G. Lewis, Hesham El-Rewini, 1992-01
  11. Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications (Lecture Notes in Computational Science and Engineering)
  12. Grid Computing: The New Frontier of High Performance Computing, Volume 14 (Advances in Parallel Computing)
  13. Parallel I/O for High Performance Computing by John M. May, 2000-10-23
  14. Parallel, Distributed and Grid Computing for Engineering (Computational Science, Engineering & Tec)

81. Sivasubramaniam, Anand
Pennsylvania State University Computer architecture, operating systems, parallel computing, simulation and evaluation of computer systems.
http://www.cse.psu.edu/~anand/

82. Parallel Computing Toolkit
Finance Essentials. Mechanical Systems. Neural Networks. Optica. parallel computingToolkit. Signals and Systems. Structural Mechanics. Time Series. Wavelet Explorer.
http://documents.wolfram.com/applications/parallel/
Documentation All Documentation Application Documentation
Analog Insydes
Advanced Numerical Methods Control System Professional Database Access Kit ... Application Examples
Please send comments and suggestions about this web site to docucenter@wolfram.com

83. Parallel Computing Research Group Home Page
parallel computing Research Group. The University of Western Australia Perth,WA, 6907. The parallel computing Research Group is part of the Dept.
http://www.ee.uwa.edu.au/~paracomp/

84. Open Channel Foundation: Parallel Computing
parallel computing. parallel computing involves the cooperation of multiple processes,usually on multiple processors, to solve together a single problem.
http://www.openchannelfoundation.org/discipline/Parallel_Computing/

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:: Parallel Computing
Parallel Computing
Parallel computing involves the cooperation of multiple processes, usually on multiple processors, to solve together a single problem. Certain calculations and simulations could not be performed without parallel computing due to processing and memory requirements which exceed resources provided by a single contemporary machine. In addition to enabling resource-challenging simulations, parallel computing is used to reduce the time to complete a calculation. By its nature, parallel software development is disproportionately difficult relative to its sequential counterpart. Terry Clark , University of Chicago Available Software MPICH A Portable Implementation of MPI PETSc The Portable, Extensible Toolkit for Scientific Computation Planguages A parallel model for implementing scientific and engineering applications ROMIO A High-Performance, Portable MPI-IO Implementation

85. The Paradigm Group
Research in parallel computing with applications to geographic/spatial information systems. Projects and bibliography of papers.
http://www.scs.carleton.ca/~gis

86. Parallel Computing
Overview. parallel computing enables the study of problems that require toomuch memory or time on sequential computers. parallel computing Staff
http://gams.nist.gov/mcsd/savg/parallel/
Up Visualization Parallel Computing Data Mining Released Software
Overview Parallel computing enables the study of problems that require too much memory or time on sequential computers.
Parallel Computing Staff Judith E. Devaney Leader Robert B. Bohn Staff William L. George Staff John G. Hagedorn Staff Howard K. Hung Staff James S. Sims Staff
Parallel Computing Projects Interoperable MPI (IMPI) Standard Lattice Boltzmann Method Dissipative Particle Dynamics Elastic Properties of Concrete ... FOIA
NIST is an agency of the U.S. Commerce Department's Technology Administration.
Date created: 2002-02-19, Last updated: 2003-01-09.
Contact mcsdweb nist.gov

87. CS-551: Parallel Computing: Models, Languages And Architectures
CS551 / Fall 1994 parallel computing Models, Languages, and Architectures.
http://www.cs.bu.edu/~best/crs/cs551/
Computer Science Department
College of Arts and Sciences
CS-551 / Fall 1994
Parallel Computing: Models, Languages, and Architectures

88. IRT: Services: Parallel Computing
HIGHSPEED parallel computing IS UP AND RUNNING AT DREXEL. The Officeof Information Resources and Technology is pleased to announce
http://www.drexel.edu/IRT/parallel/
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    HIGH-SPEED PARALLEL COMPUTING
    IS UP AND RUNNING AT DREXEL
    The Office of Information Resources and Technology is pleased to announce a new high performance parallel computing facility now available for faculty and student research at Drexel University. The IBM RS/6000 S-80 was acquired by the College of Engineering in 2001 with funds received from a National Science Foundation Grant and an IBM SUR Grant by professors B. Farouk, R. Cairncross, C. Kastinins, A Zavaliangas , and A. Zerva. This parallel computer is a powerful tool for numerical computation and has the potential to greatly facilitate computational research efforts. It is available to researchers in all colleges of the University including the Drexel College of Medicine.
    The parallel machine is an IBM RS/6000 S-80 Enterprise Server which offers high speed performance and scalability. Utilizing IBM copper chip technology, the 12-way S-80 is among the most powerful of UNIX servers. This server provides a shared memory computing environment with low latency, high bandwidth communication between processors. A parallel computing server of this type provides many advantages including a stable environment, software tools for converting programs to parallel processing, and lower costs of operation than other massively parallel systems.

    89. Parallel Computing Group At IIUN
    parallel computing group. Research areas The project we are currentlyinvolved with consists of the following research areas
    http://www.unine.ch/iiun/paral/
    Parallel computing group
    Research areas The project we are currently involved with consists of the following research areas: Scientific visualization : ZoomIn
    Dynamic workload repartitioning in heterogeneous environments

    Staff Hans-Heinrich Naegeli , Professor
    Steve Casera
    , PhD candidate
    Tiberiu Rotaru
    , PhD candidate
    Webmaster: steve.casera@unine.ch
    Revised: 05.03.2002

    90. Parallel Computation - AFM SES University Of Southampton UK
    parallel computing and Beowulf Clustering. The AFM Research Group Cluster.In December 2000 the research group installed a new parallel
    http://www.afm.ses.soton.ac.uk/nav.cgi?ant=root&s=node-pcomp

    91. PARALLEL COMPUTING LINKS
    parallel computing Links. LABS FRANCE INRIA; LIP at the ENS Lyon; LaBRI; LIFL;LMC and IMAG. EUROPE EPFL; GMD (SCAI); OTHERS CRIM. LISTS Nan's parallel computingpage.
    http://www.ens-lyon.fr/~desprez/FILES/LISTHOSTS/parcomp.html

    92. Prof. Frank Dehne - Www.dehne.net
    School of Computer Science, Carleton University parallel computing, Coarse Grained Parallel Algorithms, Parallel Data Mining and OLAP, Computational Geometry, Image Processing
    http://www.scs.carleton.ca/~dehne/

    93. Introduction To Parallel Computing, An: Design And Analysis Of Algorithms, 2/E -
    RELATED TITLES. Parallel Programming / Concurrent Programming (Computer Science).Introduction to parallel computing, An Design and Analysis of Algorithms, 2/E.
    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

    94. Paderborn Center For Parallel Computing
    Computing and service center of University of Paderborn, Germany. Hosting and participating several national and international projects, operating innovative parallel computers. Good reputation in parallel computer science.
    http://www.uni-paderborn.de/pc2/

    95. Vipin Kumar's Home Page..
    Kumar's current research interests include parallel computing, parallelalgorithms for scientific computing problems, and data mining.
    http://www.cs.umn.edu/~kumar/
    Vipin Kumar's Home Page..
    Affiliations and Address:
    Director

    Army High Performance Computing Research Center

    kumar@cs.umn.edu

    http://www.cs.umn.edu/~kumar/ Department of Computer Science and Engineering
    4-192, EE/CSci Building
    University of Minnesota
    Minneapolis, MN 55455
    Ph: (612) 624 8023
    FAX (612) 625 0572
    Recent Professional Activities..
    Publications..
    • Data Mining Text
      Data Mining for Scientific and Engineering Applications Robert L. Grossman, Chandrika Kamath, Philip Kegelmeyer, Vipin Kumar, and Raju Namburu, Kluwer Academic Publishers, October 2001

    96. 7th Int'l Conference On Parallel Computing Technologies (PaCT-2003) : PaCT : SSD
    parallel computing Technologies(PaCT2003). Seventh InternationalConference September 15-19, Nizhni Novgorod, Russia.
    http://ssdonline.sscc.ru/pact2003/
    self.resizeTo(800,580) Parallel Computing Technologies(PaCT-2003) Seventh International Conference
    September 15-19, Nizhni Novgorod, Russia
    If you are looking for the International Conference on Parallel Architectures and Computational Techniques (PACT)
    please, following this link: http://www.pactconf.org/
    otherwise...
    Welcome
    The Institut of Computational Mathematics and Mathematical Geophysics (former Computing Center) of the Russian Academy of Sciences (Academgorodok, Novosibirsk) and Nizhni Novgorod State University are jointly organizing the Seventh International Conference on PARALLEL COMPUTING TECHNOLOGIES (PaCT-2003).
    The conference will be held in Nizhni Novgorod , September 15-19, 2003. Six previous conferences have been held in Novosibirsk (1991), Obninsk (1993), St.-Petersburg (1995), Yaroslavl (1997), St.-Petersburg (1999) and Novosibisk (2001).
    The aim of PaCT-2003 is to give an overview of new developments, applications, and trends in parallel computing technologies. We sincerely hope this conference will help to deepen our understanding of parallel computing technologies by providing a forum for an exchange of views between scientists and specialists from over the world.
    We welcome your active participation.

    97. Parallel Computing Using Optical Interconnections
    parallel computing Using Optical Interconnections. Edited by. 21. Chapter2. parallel computing with ``Intelligent Optical Networks''
    http://www.mcs.newpaltz.edu/~li/pcuoi.html
    Parallel Computing Using Optical Interconnections
    Edited by
    Keqin Li State University of New York at New Paltz
    Yi Pan University of Dayton
    Si Qing Zheng University of Texas at Dallas
    Kluwer Academic Publishers
    Published on September 25, 1998
    ISBN 0-7923-8296-X
    Preface
    Motivation
    The circuit density offered by VLSI technology provides the means for implementing systems with a large number of processors. According to today's standards, a massively parallel processing (MPP) system consists of hundreds or thousands of processors. To achieve teraflops performance, it is expected that more and more processors are incorporated into a single system. An extremely important aspect of parallel computing is data communication among processors in parallel computing systems. Due to two-dimensionality, I/O constraints, and electrical properties such as resistance, capacitance, and inductance of VLSI circuits, the VLSI technology is not suitable for interconnecting communication intensive systems. The advances in optical technologies have made it possible to implement optical interconnections in future MPP systems. Photons are non-charged particles, and do not naturally interact. Consequently, there are many desirable characteristics of optical interconnects, e.g., high speed (speed of light), increased fanout, high bandwidth, high reliability, supporting longer interconnection lengths, exhibiting low power requirements, and immunity to EMI with reduced crosstalk. Optics can utilize free-space interconnects as well as guided wave technology, neither of which has the problems mentioned for the VLSI technology. Optical interconnections can be built at various levels, providing chip-to-chip, module-to-module, board-to-board, and node-to-node communications.

    98. BUBL LINK / 5:15 Internet Resources: Parallel Computing
    computing, parallel computing DeweyClass 004.11 ResourceType news Location usaLast checked 19991223 Internet parallel computing Archive Collection of
    http://bubl.ac.uk/link/p/parallelcomputing.htm
    BUBL LINK / 5:15 Catalogue of Internet Resources Home Search Subject Menus A-Z ... About
    Parallel computing
    A-Z Index Titles Descriptions
  • Ace Lab Publications
  • CERFACS: European Centre for Research and Advanced Training in Scientific Computation
  • Cray Inc - The World's Most Powerful Supercomputers
  • Internet Parallel Computing Archive ...
  • WWW Virtual Library: Complex Systems Page last updated: 04 July 2002 Comments: bubl@bubl.ac.uk
    Ace Lab Publications
    Set of online papers about grid generation, grid adaptation, finite-volume solvers, multigrid convergence acceleration, and parallel computation.
    Author: University of Texas at Austin Aerospace Engineering Department
    Subjects: engineering research, fluid mechanics, parallel computing
    DeweyClass:
    ResourceType:
    articles
    Location: usa
    Last checked:
    CERFACS: European Centre for Research and Advanced Training in Scientific Computation
    One of the world's leading research institutes, working on efficient algorithms for solving large-scale scientific problems. This involves the evaluation and development of tools which exploit high-performance serial, vector, and parallel computers.
    Author: CERFACS
    Subjects: algorithms, computer performance, computer science research, parallel computing
  • 99. PVM: Parallel Virtual Machine
    HTML version of MIT Press book PVM Parallel Virtual Machine A Users' Guide andTutorial for Networked parallel computing How to order your own copy ($17.95
    http://www.csm.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:

    100. Rajkumar Buyya: Page Moved
    It contains a wealth of information relatest to cluster computing, parallel computing, high performance computing. It provides presentation slides on cluster computing, book information, how to build cluster. Worth surfing
    http://www.dgs.monash.edu.au/~rajkumar/cluster/index.html
    This page has moved from Monash to the University of Melbourne
    The new URL of this page is http://www.buyya.com/cluster" Your browser should automatically be redirected there in 5 seconds. Please update your link.

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