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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. SAL- Parallel Computing - Programming Languages & Systems - Maisie
SAL Home parallel programming Languages Systems 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.

22. Wolfgang Schreiner
Johannes Kepler University parallel and distributed computing, generic programming, semantics of programming languages, parallel functional languages, symbolic and algebraic computation.
http://www.risc.uni-linz.ac.at/people/schreine/
Wolfgang Schreiner
A.Univ.Prof. Dipl.-Ing. Dr. Wolfgang Schreiner
Research Institute for Symbolic Computation (RISC)

Johannes Kepler University

A-4040 Linz, Austria, Europe
Email: Wolfgang.Schreiner@risc.uni-linz.ac.at
Web: http://www.risc.uni-linz.ac.at/people/schreine
Home Page at CBL
Curriculum Vitae PDF ... Talks
Research
Areas
Projects
MathBroker II: Brokering Distributed Mathematical Services
The goal of this project is to continue and extend the results of the previous MathBroker project on brokering mathematical services in the net.
Austrian Grid Project SEE-Grid
The goal of this project is the development of a grid version of the software SEE++ for virtual eye surgery.
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.

23. 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.
http://exodus.physics.ucla.edu/high 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,"

24. Bookpool: Introduction To Parallel Computing, 2nd Edition
Sourcebook of parallel computing; Jack Dongarra, et al, $53.50, 11% Off! OpenMP A Standard for Directive Based parallel programming.
http://www.bookpool.com/sm/0201648652
help account NEW RELEASES BEST SELLERS ... LOG IN
Introduction to Parallel Computing, 2nd Edition View Larger Image Ananth Grama Anshul Gupta George Karypis ... Vipin Kumar
Addison-Wesley, Hardcover, 2nd edition, Published January 2003, 636 pages, ISBN 0201648652 List Price: $83.00
Our Price:
You Save: $4.50 (5% Off)
Availability: Out-Of-Stock Customer Reviews: 1 Average Customer Rating: Write a Review and tell the world about this title! People who purchase this book frequently purchase: Books on similar topics, in best-seller order: Books from the same publisher, in best-seller order:
Features
  • A complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards.
  • The only book to have complete coverage of traditional Computer Science algorithms (FFT, sparse matrix computations, N-body methods), and data intensive algorithms (search, dynamic programming, data-mining).
  • The modular nature of the resentation enables instuctors to teach a variety of undergraduate- and graduate-level courses. By selecting appropriate material from different parts of the book, instructors can use it to teach a variety of courses such as Introduction to Parallel Computing, Parallel Programming, Design and Analysis of Parallel Algorithms, and High Performance Computing.

25. Foundations Of Multithreaded, Parallel, And Distributed Programming - Addison-We
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)
http://www.aw-bc.com/catalog/academic/product/0,1144,0201357526,00.html
Select a Discipline Chemistry Computer Science Economics Finance Life Science Mathematics Physics / Astronomy Statistics by Keyword by Author by Title by ISBN Advanced Search View Cart ABOUT THIS PRODUCT Description Table of Contents Features Appropriate Courses About the Author(s) PACKAGE OPTIONS Valuepack(s) RESOURCES Discipline-Specific RELATED TITLES Parallel Programming / Concurrent Programming (Computer Science) Parallel Computing (Computer Science) Distributed Systems (Computer Science) Foundations of Multithreaded, Parallel, and Distributed Programming View Larger Image Gregory R. Andrews University of Arizona
ISBN: 0-201-35752-6
Publisher: Addison-Wesley
Format: Paper; 664 pp
Our Price: $55.20
Status: Instock
Published: 11/30/1999
Add to Cart Instructor Exam Copy Print Product Information Description Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance.

26. Parallel Computing Links
An Introduction to parallel computing, Alan Rea, The Queen s University of BelfastIntroduction to parallel programming with C++, John Steel, Queen Mary and
http://www.indiana.edu/~rac/hpc/links.html
Links to Parallel Computing Resources
These concern parallel computing as such, only;
See also Numerical Computing Resources and Programmers' Tools

27. 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.
http://www.dcc.uchile.cl/~mmarin/sccc/english.html

28. IS PARALLEL COMPUTING DEAD?
Is parallel computing really dead? At the very least, it is undergoing a major parallel computing architecture with a new programming interface emerges,
http://www.crpc.rice.edu/newsletters/oct94/director.html

29. Kyaw Tun
parallel computing toolbox for Matlab. Tutorial for mixed language programming between Fortran and BCB 6.
http://www.geocities.com/kyawtuns/
Kyaw Tun Hi!
I hope you will find it is useful visiting to my website, especially if you are a Myanmar studying in NUS. Research interest: Process control, Genetic programming, modeling and simulation, programming
Hobby: swimming, playing guitar, country music, chess, using electronic gadgets
My bio

Programming tools

Research

Solution
My Info: Name: Kyaw Tun Email: kyawtuns@yahoo.com

30. Buyya, Rajkumar
Monash University Computer Architecture, Operating Systems, Compilers, programming Paradigms, parallel and Distributed computing, Cluster computing, parallel I/O.
http://www.rdt.monash.edu.au/~rajkumar/

31. Parallel Computing -- Programming --Libraries
parallel computing programming Libraries. Clustet computing Info Centre Links to parallel computing resources. Concurrent Systems - Links to
http://www.edinformatics.com/computers/parallel_computing.htm
EDinformatics Home Page
Parallel Computing Programming Libraries
Computers : Parallel Computing
See also: Sites:

32. PARALLEL COMPUTING LAB AT NMSU
At New Mexico State University. Configuration information and diagrams, research, publications, and links to parallel programming information.
http://www.cs.nmsu.edu/pcl/

33. Introduction To Parallel Computing
parallel computing is an evolution of serial computing that attempts to emulate In this model, any two or more parallel programming models are combined.
http://www.llnl.gov/computing/tutorials/parallel_comp/
Introduction to Parallel Computing
Table of Contents
  • Abstract
  • Overview
  • What is Parallel Computing?
  • Why Use Parallel Computing? ...
  • References and More Information
    Abstract
    This presentation covers the basics of parallel computing. Beginning with a brief overview and some concepts and terminology associated with parallel computing, the topics of parallel memory architectures and programming models are then explored. These topics are followed by a discussion on a number of issues related to designing parallel programs. The last portion of the presentation is spent examining how to parallelize several different types of serial programs. Level/Prerequisites: None
    Overview
    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
  • 34. Distributed Systems Laboratory
    Research focus includes programming support for parallel and distributed computing, quality of service, and security.
    http://www-fp.mcs.anl.gov/dsl/index.html
    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.

    35. WWW Resources On BSP Computing
    Abstract Bulk Synchronous parallelism (BSP) is a parallel programming model that Sparse Matrix Computations on Bulk Synchronous parallel Computers
    http://web.comlab.ox.ac.uk/oucl/work/bill.mccoll/oparl.html
    BSP
    A New Industry Standard for Scalable Computing on Clusters, SMPs and MPPs
    WWW Resources
    Introductory Papers
    Magazine Articles about BSP

    Tutorial Material

    BSP Worldwide
    ...
    Further Information

    Would you like to be able to write architecture-independent but efficient parallel code? Have you tried MPI and PVM, and would like a simpler alternative? Scalable computing will, over the next few years, become the normal form of computing. Software for scalable computing will have to be fully portable across the whole range of general-purpose parallel architectures, from simple clusters of PCs to large parallel supercomputers. It will also have to be efficient, achieving optimised performance, in a predictable way, on all such architectures. The Bulk Synchronous Parallel (BSP) model provides a discipline for the design, analysis and implementation of universal software of this kind. These pages provide an introduction to the theory and practice of BSP computing, and show how it is currently being used to produce portable parallel software for industrial applications. The WWW resources described here provide an introduction to the principles of BSP cost modeling and performance prediction. They also show how to design, analyse and implement BSP programs using the various software tools that have been developed to provide a BSP Programming Environment.

    36. Afdeling Informatica, Faculteit Der Exacte Wetenschappen. Vrije Universiteit Ams
    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.
    http://www.cs.vu.nl/
    Voorlichting Informatica
    home
    Informatica is overal!
    Probeer maar eens te tellen hoeveel microprocessoren je in huis hebt: je MP3 speler, je mobieltje maar vergeet ook de wasmachine niet. Stel je eens voor dat je een week lang niet kunt MSNen of SMSen.
    Informatietechnologie is dus echt overal! De opleidingen aan de VU bestrijken een groot deel van alles wat met informatica te maken heeft: computersystemen, maar ook kunstmatige intelligentie bedrijfsinformatica bioinformatica informatiekunde , en bedrijfswiskunde
    Wil je meer weten? Kijk dan op de paginas over onze opleidingen, ontmoet ons bij een van onze voorlichtingsactiviteiten, of neem direct contact op!
    Bacheloropleidingen Master programs
    Informatica

    Kunstmatige intelligentie

    Informatiekunde

    Minor bedrijfsinformatica
    ... Webmaster

    37. Supercomputing And Parallel Computing Research Groups
    C++ classes for parallel programming. CAMAS Computer Aided Migration of ApplicationsSystem. Tools to parallelize existing dusty deck programs.
    http://www.cs.cmu.edu/~scandal/research-groups.html
    Supercomputing and Parallel Computing Research Groups
    Index Conferences Vendors Supercomputers Note: I've moved on to another job , and I can no longer afford the time to keep this site updated. I recommend IEEE's ParaScope as a good alternative. Academic research groups working in the field of supercomputing and parallel computing.
    ABCPL
    An object-Based Concurrent Language. Model of concurrency based on parallel active objects.
    Adl
    Data parallel functional programming languages for distributed memory architectures.
    Adsmith
    Object-Based DSM Environment on PVM.
    Alewife
    Large-scale multiprocessor with shared memory and message passing.
    AMDC
    Active-Message Driven Computing. Computational model and system based on computation at abstract locations, and built on active messages.
    AM
    Active Messages. Simple primitives exposing full hardware performance to higher communication layers.
    APAR
    Parallel Architectures group. Portable parallel programming environment, parallel 3D terrain analysis and visualization.
    APE/Quadrics
    High performance simulations of lattice gauge theories and QCD.

    38. Department Of Computer Science, University College Cork
    Department of Computer Science. Research areas Algorithms, Unified computing, Computer Communications, Security, Computer Simulation, Constraint Based Reasoning, Digital Video Compression, Expert Systems, Intelligent Information Agents, Neural Networks, ObjectOriented Database Systems, Distributed and parallel Processing, Semantics of programming languages, Theory and Formal Methods.
    http://www.cs.ucc.ie/
    Text-only site...
    University College Cork...
    Department Courses ... Internal UCC occupies a unique place in the history of Information Technology. Boolean algebra, which provides the mathematical basis for computer design, was named after George Boole the first Professor of Mathematics at UCC. Today the Department of Computer Science is one of the largest academic departments within University College Cork.
    Latest news

    Contact us
    Website comments

    39. Supercomputing And Parallel Computing Resources
    Program PPoPP 97 (Symposium on Principles and Practice of parallel programming) . CFP PCRCW 97 (Workshop on parallel computing, Routing,
    http://www.cs.cmu.edu/~scandal/resources.html
    Supercomputing and Parallel Computing Resources
    Conferences Research Groups Vendors Supercomputers Note: I've moved on to another job , and I can no longer afford the time to keep this site updated. I recommend IEEE's ParaScope as a good alternative.
    My Own Pages
    From serious journals to frivolous pictures:
    Other Sites I Recommend
    If you can't find it from one of these pages, it's not worth finding:
    New Links
    May 14, 1997
    • Program: ISUG'97 (Intel Supercomputer Users Group Annual Conference).
    • Program: PPoPP'97 (Symposium on Principles and Practice of Parallel Programming).
    • Program: PTOOLS'97 (Parallel Tools Consortium).
    • CFP: PCRCW'97 (Workshop on Parallel Computing, Routing, and Communication).
    • Program: COORDINATION'97 (Conference on Coordination Models and Languages).

    40. Welcome To The Department Of Computer Science At Queen Mary, University Of Londo
    Department of Computer Science. Research groups Information, media and communication; Logic and foundations of programming; parallel computing; Vision; Risk assessment and decision analysis; Knowledge representation and reasoning; Distributed systems. Host for Hypatia, a directory of research workers in Computer Science and Pure Mathematics and a library of their papers.
    http://www.dcs.qmw.ac.uk/
    QM Home Home Courses International Research Business Schools News/events People About us Intranet
    We are passionate about computing and its impact on the world, and committed to developing a supportive, friendly and challenging environment for teaching, learning and research.
    Latest news and events Research spotlight Our world-leading computer scientists work on core developments, like building fast reliable networks and smart secure software, as well as novel technologies such as video surveillance for security, tools to enhance augmented human interaction, improved methods for information retrieval and software to support decision-making. Here is a handful of some of our recent applications: Visit our research pages to find out more about our research groups' work. Teaching excellence Our enthusiasm for our research keeps our teaching exciting and up to date. This was reflected within the latest teaching quality assessment carried out by the Quality Assurance Agency for Higher Education in Nov 2004, which awarded the highest possible rating of excellence and praised good practice, student achievement and quality of learning opportunities.

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