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         Parallel Computing Programming:     more books (100)
  1. Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/Crc Computer & Information Science Series)
  2. Introduction to Parallel Computing: Design and Analysis of Parallel Algorithms by Vipin Kumar, Ananth Grama, et all 1994-01
  3. Scientific Parallel Computing by L. Ridgway Scott, Terry Clark, et all 2005-03-28
  4. The Art of Parallel Programming, Second Edition
  5. Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) by W. P. Petersen, P. Arbenz, 2004-03-25
  6. High-Performance Compilers for Parallel Computing by Michael Wolfe, 1995-06-16
  7. Parallel Computing by G. R. Joubert, Italy) Parco200 (2001 Naples, et all 2002-06-15
  8. Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation by George Em Karniadakis, Robert M. Kirby II, 2003-06-16
  9. Parallel Computing: Theory and Practice by Michael J. Quinn, 1993-09-01
  10. High Performance Cluster Computing: Programming and Applications, Volume 2
  11. Network-Based Parallel Computing Communication Architecture, and Applications
  12. Dlp: A Language for Distributed Logic Programming : Design, Semantics and Implementation (Wiley Series in Parallel Computing) by Anton Eliens, 1992-07
  13. Concurrent Programming: Fundamental Techniques for Real-Time and Parallel Software Design (Wiley Series in Parallel Computing) by Tom Axford, 1990-06
  14. Network and Parallel Computing: IFIP International Conference, NPC 2007, Dalian, China, September 18-21, 2007, Proceedings (Lecture Notes in Computer Science)

21. Parallel Computing Links
Links to parallel computing Resources Scientific computing, Zdzislaw (Gustav) Meglicki, Indiana University. Introduction to parallel programming with C++
Links to Parallel Computing Resources
(This is parallel computing as such, only; see also
Numerical Computing Resources on the Internet

22. LAM/MPI Parallel Computing
administrators, parallel programmers, application users, and parallel computingresearchers. of documentation and tutorials on parallel programming with MPI
LAM/MPI Parallel Computing
Home Download Documentation FAQ ... License
LAM/MPI: Enabling Efficient and Productive MPI Development
LAM/MPI is a high-quality open-source implementation of the Message Passing Interface specification, including all of MPI-1.2 and much of MPI-2. Intended for production as well as research use, LAM/MPI includes a rich set of features for system administrators, parallel programmers, application users, and parallel computing researchers.
Cluster Friendly, Grid Capable
From its beginnings, LAM/MPI was designed to operate on heterogeneous clusters. With support for Globus and Interoperable MPI , LAM/MPI can span clusters of clusters.
Several transport layers, including Myrinet, are supported by LAM/MPI. With TCP/IP, LAM imposes virtually no communication overhead, even at gigabit Ethernet speeds. New collective algorithms exploit hierarchical parallelism in SMP clusters.
Empowering Developers
The xmpi profiling tool and parallel debugger support (e.g., using TotalView or the Distributed Debugging Tool
A Stable Extensible Platform for Research
Tools and Third Party Applications
Since LAM/MPI implements the specified MPI standard, most

23. Supercomputing And Parallel Computing Research Groups
parallel programming model based on dynamic graphlike DICE Direct Interconnectionof computing Elements. parallel processing primitives for Linux, including

24. HU Berlin: Institut Für Informatik
Department of Computer Science. Research groups focus on system analysis, software engineering, theory of programming, databases and information systems, artificial intelligence, data analysis, computer science in education and society, parallel and distributed computing, automata, systems theory, algorithms, complexity, computer architecture, communication, signal processing, and pattern recognition.
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25. Department Of Computing Science
Department of computing Science. Research areas include algorithmics, artificial intelligence, communication networks, computer graphics, computer vision and robotics, database systems, multimedia, parallel programming systems, and software engineering.
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Instructional Support
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June 11 Xiaozhen Niu is giving a Graduate Student Seminar titled Recognizing Safe Territories and Stones in Computer Go today at 2:00 pm in CSC 333. Summer Term 2004 classes begin July 7th. Click to display upcoming events Search the Site:
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26. Designing And Building Parallel Programs
Designing and Building parallel Programs (Online) integrates four resourcesconcerned with parallel programming and parallel computing
Designing and Building Parallel Programs , by Ian Foster Designing and Building Parallel Programs (Online) is an innovative traditional print and online resource publishing project. It incorporates the content of a textbook published by Addison-Wesley into an evolving online resource. Here is a description of the book , and here is the table of contents . See also the list of mirror sites around the world Designing and Building Parallel Programs (Online) integrates four resources concerned with parallel programming and parallel computing: We have prepared and presented a very successful full-day tutorial based on Designing and Building Parallel Programs. Let us know if you are interested in seeing this presented elsewhere. Read about what's new on DBPP Online. There are also a few errata The content of Designing and Programming Parallel Programs may not be archived or reproduced without written permission Designing and Programming Parallel Programs is available wherever fine technical books are sold, or

27. Wolfgang Schreiner
Johannes Kepler University parallel and distributed computing, generic programming, semantics of programming languages, parallel functional languages, symbolic and algebraic computation.
Wolfgang Schreiner
Research Institute for Symbolic Computation (RISC-Linz)
Johannes Kepler University

A-4040 Linz, Austria, Europe
PGP Public Key
Bookmarks Home Page at CBL ...
  • Talks
    Parallel and Distributed Computing at RISC-Linz
    Symbolic Programming
    at RISC-Linz ...
    Brokering Distributed Mathematical Services
    The goal of this project is the development of a framework for brokering mathematical services that are distributed among networked servers. The foundation of this framework is a language for describing the mathematical problems solved by the services.
    Distributed Maple
    Distributed Maple is a system for writing parallel programs in the computer algebra system Maple based on a communication and scheduling mechanism implemented in Java.
    Integrating Temporal Specifications as Runtime Assertions into Parallel Debugging Tools
    This project pursues the integration of formal methods with tools for the debugging of parallel message passing programs. The idea is to generate from temporal logic specifications executable assertions that can be checked in the various states of parallel program execution.
    Distributed Constraint Solving for Functional Logic Programming
    I am the technical leader of a research project on the development of a distributed constraint solving system based on a functional logic language.
  • 28. MPI: Portable Parallel Programming For Scientific Computing
    MPI Portable parallel programming for Scientific computing. 10/14/98. Tableof Contents. MPI Portable parallel programming for Scientific computing.
    MPI: Portable Parallel Programming for Scientific Computing
    Click here to start
    Table of Contents
    MPI: Portable Parallel Programming for Scientific Computing Portable Parallel Programming The Message Passing Model What is MPI? ... Learning More Author: William D Gropp Email: Home Page: Download presentation source

    29. High Performance Computing UCLA Plasma Simulation Group
    Links to papers on ObjectOriented programming in Fortran 90, Optimization techniques for RISC processors, parallel Particle-in-Cell Codes, parallel computing Tutorial, and Modernization of Fortran Legacy Codes. performance computing/high.performance.comp.
    On this Page: Web pages Publications The Purpose of High Performance Computing is to develop strategies, algorithms, and techniques to enable effective use of high performance computers for the solution of large scale scientific problems. Appleseed: Macintosh Cluster Object-Oriented Programming in Fortran 90 Optimization techniques for
    RISC processors
    ... Modernization of Fortran Legacy Codes
    V. K. Decyk, C. D. Norton, and B. K. Szymanski, "Fortran 90 'Gotchas' (Parts 1-3)," ACM Fortran Forum, vol. 18, no. 2, p. 22, 1999, vol. 18, no. 3, p. 26, 1999, and vol. 19, no. 1, p. 10, 1999. J. Qiang, R. Ryne, S. Habib, and V. Decyk, "An Object-Oriented Parallel Particle-in-Cell code for Beam Dynamics Simulation in Linear Accelerators," Proc. Supercomputing 99, Portland, OR, Nov. 1999, CD-ROM. V. K. Decyk, D. E. Dauger, and P. R. Kokelaar, "Plasma Physics Calculations on a Parallel Macintosh Cluster," Physica Scripta T84, 85 (2000). V. K. Decyk, C. D. Norton, and B. K. Szymanski, "How to support inheritance and run-time polymorphism in Fortran 90", Computer Physics Communications V. K. Decyk, C. D. Norton, and B. K. Szymanski, "How to Express C++ Concepts in Fortran 90,"

    30. 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
    U.C. Berkeley CS267 Home Page
    Applications of Parallel Computers
    Spring 1996
    TuTh 12:30-2, 405 Soda
    Jim Demmel
    Office hours: T Th 2:15 - 3:00, F 1-2, or by appointment
    (send email)
    Boris Vaysman
    Evening sessions: T 6:00, 405 Soda (at least 4 first weeks)
    Office hours: at ICSI by apt.
    (send email)
    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.
  • 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.
  • 31. Foundations Of Multithreaded, Parallel, And Distributed Programming
    This book teaches the fundamental concepts of multithreaded, parallel and distributed computing. Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary, concern. (Gregory R. Andrews),3828,0201357526,00.html

    32. Cornell Multitask Toolbox For MATLAB®
    commercial CMTM provides a new, userfriendly set of development programming tools that extends the power of MATLAB to parallel computing.
    Cornell Theory Center
    Virtual Workshop Module
    John Zollweg Video Introduction View with modem or broadband connection Read the text transcript The prerequisites are:
  • Understanding of Parallel Programming Concepts
    Table of Contents
    What is CMTM?
    Brief History
    Running CMTM ... Navigation Guide generate(4,0,2)
    1. Introduction
    1.1 What is CMTM?
    CMTM is the acronym for C ornell M ultitask T oolbox for M An important feature of MATLAB is its extensibility. Groups of new functions are typically made available to the MATLAB programmer through "toolboxes" that can be installed in the MATLAB directory tree and can then be made globally available to MATLAB programs. CMTM is a toolbox with the name "multitask". Functions in this toolbox that basically are "wrappers" for MPI functions begin with the prefix "MMPI_" and can be called by any task, subject only to the restrictions imposed by the MPI Standard. Because MATLAB is a higher-level programming language than C or FORTRAN, we anticipated that users would like functions that are more powerful than the ones provided by the MPI Standard. Some of the functions we provide are actually in the MPI-2 standard which has not yet been widely implemented. These higher level functions have the prefix "MM_". They can be called only on the master task (task with rank 0).
  • 33. PVM: Parallel Virtual Machine
    as an educational tool to teach parallel programming. With tens of thousands of users,PVM has become the de facto standard for distributed computing worldwide
    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:

    34. Chilean Computing Week, Punta Arenas, Nov. 5-9, 2001
    Including the following events XXI International Conference of the Chilean Computer Science Society; IX Chilean Congress on computing; V Workshop on parallel and distributed systems; III Congress on Higher Education in Computer Science; II Workshop on Artificial Intelligence; I Workshop on Software Engineering; ACM SouthAmerican Region programming Contest; Tutorials and invited talks. University of Magellan, Punta Arenas, Chile; 59 November 2001.

    35. Introduction To Parallel Computing
    longer maintained or available. Tutorials located in the Maui High PerformanceComputing Center s SP parallel programming Workshop .
    Introduction to Parallel Computing
    Table of Contents
  • Overview
  • What is Parallel Computing?
  • Why Use Parallel Computing?
  • Concepts and Terminology ...
  • References and More Information
    What is Parallel Computing?
    • Traditionally, software has been written for serial computation:
      • To be executed by a single computer having a single Central Processing Unit (CPU);
      • Problems are solved by a series of instructions, executed one after the other by the CPU. Only one instruction may be executed at any moment in time.
    • In the simplest sense, parallel computing is the simultaneous use of multiple compute resources to solve a computational problem.
    • The compute resources can include:
      • A single computer with multiple processors;
      • An arbitrary number of computers connected by a network;
      • A combination of both.
    • The computational problem usually demonstrates characteristics such as the ability to be:
      • Broken apart into discrete pieces of work that can be solved simultaneously;
      • Execute multiple program instructions at any moment in time;
      • Solved in less time with multiple compute resources than with a single compute resource.
    At New Mexico State University. Configuration information and diagrams, research, publications, and links to parallel programming information.

    37. BSP Worldwide Home Page
    BSP Worldwide is an association of people interested in the development of theBulk Synchronous parallel (BSP) computing model for parallel programming.
    BSP Worldwide is an association of people interested in the development of the Bulk Synchronous Parallel (BSP) computing model for parallel programming. It exists to provide a convenient means for the exchange of ideas and experiences about BSP and to stimulate the use of the BSP model. Areas of interest of BSP Worldwide include:
    • Research into properties of the model Application of the model to programming tasks of all kinds including the scheduling of parallel execution Performance benchmarking and comparison with other approaches Cost modelling and performance prediction Definition of standard functions for programming in the BSP style Implementation of programming tools to support the use of the model
    The organisation does not have a formal structure. Its activities depend on contributions by volunteers, BSP users, and developers.
    Current BSP Work
    Have a look at the BSP in the third millenium page for details of current activities.
    BSPlib standard and implementation
    Standard: BSPlib: the BSP Programming Library , by Jonathan Hill, Bill McColl, Dan Stefanescu, Mark Goudreau, Kevin Lang, Satish Rao, Torsten Suel, Thanasis Tsantilas, and Rob Bisseling, version with C examples or with Fortran 77 examples . Published in Parallel Computing (1998) pp. 1947-1980.

    38. Buyya, Rajkumar
    Monash University Computer Architecture, Operating Systems, Compilers, programming Paradigms, parallel and Distributed computing, Cluster computing, parallel I/O.

    39. Distributed Systems Laboratory
    Research focus includes programming support for parallel and distributed computing, quality of service, and security.
    Distributed Systems Laboratory
    Argonne National Laboratory
    University of Chicago The Distributed Systems Laboratory (DSL) is a research and software development group within the Mathematics and Computer Science (MCS) Division at Argonne National Laboratory and the Department of Computer Science at The University of Chicago A Grid is a persistent infrastructure that supports computation-intensive and data-intensive collaborative activities, especially when these activities span organizations. Grid computing facilitates the formation of "Virtual Organizations" for shared use of distributed computational resources. Under the leadership of Dr. Ian Foster , the DSL hosts research and development activities designed to realize the potential of "Grids" for computational science and engineering. Together with Carl Kesselman's Center for Grid Technologies at the University of Southern California Information Sciences Institute , we are co-founders of the Globus Project TM , a highly-collaborative international and multidisciplinary effort to make Grid computing a reality.

    40. Faculty Of Sciences - Vrije Universiteit Amsterdam
    Division of Mathematics and Computer Science. Research interests center around software engineering; parallel and distributed systems, including programming, distributed shared objects, operating systems support, and wide area cluster computing; agent technology; computational intelligence; knowledge representation and reasoning; lambda calculus; programming language semantics; type theory; and proof checking.


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