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         Parallel Computing Programming:     more books (100)
  1. Mathematical Foundations of Parallel Computing (Series in Computer Science) by Valentin V. Voevodin, 1992-05
  2. Communication and Architectural Support for Network-Based Parallel Computing: First International Workshop, CANPC'97, San Antonio, Texas, USA, February ... (Lecture Notes in Computer Science)
  3. Concurrent and Parallel Computing: Theory, Implementation and Applications
  4. Network and Parallel Computing: IFIP International Conference, NPC 2005, Beijing, China, November 30 - December 3, 2005, Proceedings (Lecture Notes in Computer Science)
  5. Practical Parallel Computing
  6. Distributed and Parallel Computing: 6th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP, Melbourne, Australia, ... (Lecture Notes in Computer Science)
  7. Network-Based Parallel Computing. Communication, Architecture, and Applications: Second International Workshop, CANPC'98, Las Vegas, Nevada, USA, January ... (Lecture Notes in Computer Science)
  8. Parallel Computing: Paradigms and Applications
  9. Debugging and Performance Tuning for Parallel Computing Systems
  10. Languages and Compilers for Parallel Computing: 13th International Workshop, LCPC 2000, Yorktown Heights, NY, USA, August 10-12, 2000, Revised Papers
  11. Applied Parallel Computing. New Paradigms for HPC in Industry and Academia: 5th International Workshop, PARA 2000 Bergen, Norway, June 18-20, 2000 Proceedings (Lecture Notes in Computer Science)
  12. Applied Parallel Computing. Industrial Computation and Optimization: Third International Workshop, PARA '96, Lyngby, Denmark, August 18-21, 1996, Proceedings (Lecture Notes in Computer Science)
  13. Systolic Parallel Processing (Advances in Parallel Computing) by N. Petkov, 1992-12-01
  14. Languages and Compilers for Parallel Computing: 6th International Workshop, Portland, Oregon, USA, August 12 - 14, 1993. Proceedings (Lecture Notes in Computer Science)

81. CS 838 - Topics In Parallel Computing - Spring 1999
There is a couple of books on parallel algorithms and parallel computing youmight find useful as PVM and MPI2 are C/C++ parallel programming libraries.
CS 838: Topics in Parallel Computing
Spring 1999
Computer Sciences Department
Administrative details
Instructor: Pavel Tvrdik email: Office: CS 6376 Phone: Office hours: Tuesday/Thursday 9:30-11:00 a.m. or by appointment Lecture times: Tuesday/Thursday 08:00-09:15 a.m. Classroom: 1221 Computer Sciences
The contents
  • Syllabus
  • Schedule and materials
  • Optional books
  • Course requirements ...
  • Grading policy
    The syllabus of the lectures
    The aim of the course is to introduce you into the art of designing efficient and analyzing parallel algorithms for both shared-memory and distributed memory machines. It is structured into four major parts.
    The first part of the course is a theoretical introduction into the field of design and analysis of parallel algorithms. We will explain the metrics for measuring the quality and performance of parallel algorithms with the emphasis on scalability and isoefficiency. To prepare the framework for parallel complexity theory, we will introduce a fundamental model, the PRAM model. Then we will introduce the basics of parallel complexity theory to provide a formal framework for explaining why some problems are easier to parallelize then some others. More specifically, we will study NC-algorithms and P-completeness.
    The second part of the course will deal with communication issues of distributed memory machines. Processors in a distributed memory machine need to communicate to overcome the fact that there is no global common shared storage and that all the information is scattered among processors' local memories. First we survey interconnection topologies and communication technologies, their structural and computational properties, embeddings and simulations among them. All this will form a framework for studying interprocessor communication algorithms, both point-to-point and collective communication operations. We will concentrate mainly on orthogonal topologies, such as hypercubes, meshes, and tori, and will study basic routing algorithms, permutation routing, and one-to-all as well as all-to-all communication operation algorithms. We conclude with some more realistic abstract models for distributed memory parallel computations.
  • 82. LIACC --- Annual Plan For 1998 -- Declarative Programming And Parallel Computing
    Go up to Top Go forward to parallel computing. Declarative programming and parallelcomputing. Research in this area is being sponsored by the following
    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
  • 83. LIACC --- Annual Report 1997 -- Declarative Programming And Parallel Computing
    Declarative programming and parallel computing. Projects. In this area during1997 there were 9 ongoing projects. The total effort at LIACC was 12.8
    Go up to Activities on 1997
    Go forward to Machine Learning and Knowledge Acquisition
    Declarative Programming and Parallel Computing
    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.
  • 84. Programming Of Parallel Computers
    Uppsala University Department of Information Technology Scientific computing,programming of parallel Computers 200409-14
    Department of Information Technology
    Jarmo Rantakokko

    Programming of parallel computers

    Literature ...
    Uppsala University
    Department of Information Technology
    Scientific Computing Programming of Parallel Computers
    Programming of Parallel Computers
    Fall 2004
    ( )
    Jarmo Rantakokko
    Room 2339, Tel: 018 - 471 2977, E-mail: Course start The course will start October 28, room 2214. Aims of the course Computer simulations are used extensively both in industry and in academia. The demand for computing power is increasing faster and faster. To meet the demands parallel computers are becoming popular. Today, a powerful PC often contains two processors and it is easy to connect several PCs to a cluster, a powerful parallel computer. At the same time it is more difficult for the programmer to exploit the full capacity of the computer. The aims of the course are to give basic knowledge in parallel computers, algorithms and programming. To give knowledge in fundamental numerical algorithms and software for different parallel computers. To give skills in parallel programming. Course content Classification of parallel computers. Different forms of memory organisation and program control. Different forms of parallelism. Programming models; programming in a local name space using MPI and in global name space using OpenMP. Data partitioning and load balancing algorithms. Measurements of performance; speedup, efficiency, flops. Parallelization of fundamental algorithms in numerical linear algebra; matrix-vector and matrix-matrix multiplication. Parallel sorting and searching. Software for parallel computers. GRID computing.

    85. Parallel Programming Resources
    IBM is offering parallel programming workshops for SP 2 users. parallel computing,an excelant introduction to parallel programming and the use of PVM.
    Parallel Programming Resources
    Table of Contents
    Click on a topic to skip to that section.
    General SP-2 information
    IBM POWERparallel Systems Products
    IBM's home page for its Scalable POWERparallel (SP) Systems Contains pointers to information on the SP-2 processors and high switch, the Parallel Environment, Load Leveler, and other software.
    IBM High-Performance Computing
    IBM High-Performance Computing page, some of this information is outdated by the above site.
    CERN SP2 Service page
    CERN has recently acquired an SP 2 machine to replace a VM system. This site contains some excellent documentation on getting started with the SP2 and an AIX for VM users guide.
    IBM AIX Parallel Environment
    This WWW page describes the software provided by IBM with the SP-2 system which supports parallel program development and execution.
    IBM's load balancing and resource managment facility for parallel or distributed computing environments.

    86. PCOMP
    parallel and High Performance computing (HPC) are highly dynamic fields. is not an exhaustive compendium of all links related to parallel programming.
    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 ( ), Opera ( ) or Apple Safari 1.0 ( ) browsers.

    87. Distributed Parallel Computing Using Navigational Programming
    This paper supports the claim that the NavP approach is better suited for generalpurpose parallel distributed programming than either MP or DSM.

    88. IBM Research | IBM Research | Putting The POWER In Parallel Computing
    IBM to sponsor POWER processorbased parallel programming challenge in 2005 “At IBM we are seeing that the parallel computing approach solves many of
    Country/region change All of IBM Home Products My account Computer Science ... University Collaboration
    Putting the POWER in Parallel Computing
    IBM to sponsor POWER processor-based parallel programming challenge in 2005
    Known for their enormous speed, memory, storage capacity and number crunching capabilities, IBM POWER-based parallel supercomputers have been used by universities, government agencies, research organizations and commercial enterprises to solve some of the most complex problems in physics, engineering, biology, geology and the environment.
    Scientists and engineers use IBM supercomputers based on the POWER processor to study the human genome, develop new vaccines, forecast the weather, study marine life, predict earthquakes, create simulations for building airplanes, develop new materials, look into the future of global warming, simulate auto crash tests, discover the origins of the universe and many other extraordinary, critical applications.
    IBM Research, for example, is currently building BlueGene/L, a massively parallel supercomputer that is expected to be the fastest in the world when completed next year.
    The Contest
    The program will be judged on the correctness of results and how quickly it solves problems of increasing size. Contestants will be provided with training, MPI (Message-Passing Interface) educational material, and an example of functioning MPI applications, prior to the Challenge, at the 2005 Finals.

    89. Qango : Science: Computer Science: Supercomputing And Parallel Computing: Progra
    Home Science Computer Science Supercomputing and parallel computing programming, Suggest a Site. Science, etc. Categories
    Chat Forums Free Email Personals Classifieds ... Help Qango Directory

    all of Qango only this category Options

    Science ... Supercomputing and Parallel Computing > Programming Suggest a Site Science, etc
    Categories Home ... Supercomputing and Parallel Computing > Programming Suggest a Site Home Suggest a Site Search ... Login

    90. Qango : Science: Computer Science: Supercomputing And Parallel Computing: Progra
    Home Science Computer Science Supercomputing and parallel computing programming Message Passing Interface (MPI), Suggest a Site
    Chat Forums Free Email Personals Classifieds ... Help Qango Directory
    Message Passing Interface (MPI)

    all of Qango only this category Options

    Science ... Programming > Message Passing Interface (MPI) Suggest a Site Science, etc
    If you would like to suggest a site for this category please click here
    Science Computer Science ... Programming > Message Passing Interface (MPI) Suggest a Site Home Suggest a Site Search ... Login

    91. Parallel Programming Using C++ - Department Of Computing Science, University Of
    Most programming systems for highperformance parallel computers widely used byscientists and engineers to solve complex problems are so-called universal
    Home Research Activities Library Parallel Programming Using C++ Edited by Gregory V. Wilson
    Paul Lu
    The MIT Press
    ISBN 0-262-73118-5
    Abstract from the Back Cover: Parallel Programming Using C++ presents a broad survey of current efforts to use C++, the most popular object-oriented programming language, on high-performance parallel computers and clusters of workstations. Sixteen different dialects and libraries are described by their developers and illustrated with many small example programs. Most programming systems for high-performance parallel computers widely used by scientists and engineers to solve complex problems are so-called universal languages that can run on a variety of computer platforms. Despite the benefits of this "platform independence", such a watered-down approach results in poor performance. A way to solve the problem, while preserving universality and efficiency, is to use an object-oriented programming language such as C++. Parallel object-oriented programming systems may be able to combine the speed of massively parallel computing with the ease of sequential programming. In each of the sixteen chapters a different system is described by its developers. The systems featured cover the entire spectrum of parallel programming paradigms from dataflow and distributed shared memory to message passing and control parallelism.

    92. Pearson Education - Introduction To Parallel Computing
    Introduction to parallel computing, Ananth Grama, George Karypis, Vipin Kumar, of parallel computing from introduction to architectures to programming

    93. Parallel Computing
    parallel computing in scalable distributed shared memory multiprocessor system 4. Multiprocessor programming. 4.1. parallel Speedup. Amdahl s Law
    P arallel Computing Instructor: Prof. Dr. Andrei Tchernykh Objective The objective of this course is to learn theoretical and practical problems of parallel computing, and to study the use of supercomputers for parallel algorithm implementation PART I. Foundation of Parallel Computing Background Computer and Computational Science 1_title.pdf 1-0_content.pdf, 1-1_computational.pdf Parallel computing paradigms; Motivation for Parallel Computing Fields of research Sequential and parallel paradigms Imperative and declarative parallel computation Functional programming Logic programming 1-2_paradigm.pdf Parallelism of program and computation Classification of parallelism; narrow and wide interpretation; Amdahl’s Law 1-3_background.pdf Data parallelism; 1-4_datapar.pdf Control parallelism, synchronization; 1-5_controlpar.pdf Data-Flow 1-6_dataflow.pdf
    Parallel computer architectures
    SISD, SIMD, MISD, MIMD computers;
    1-7_taxonomy.pdf PRAM computational models 1-8_pram.pdf Processor organization
    Topologies (mesh, binary tree, pyramid, butterfly, hypercube);

    94. Upcoming Compiler And Parallel Computing Conferences
    HIPS 2004 9th Int l Workshop on HighLevel parallel programming Models andSupportive The Internet parallel computing Archive s events list.
    Upcoming Compiler and Parallel Computing Conferences
    Here is a list of upcoming conferences of interest to researchers in the areas of compilers, parallel processing, and supercomputing. Each entry has the following format:
    Conference title
    Place and starting date
    Submission deadline
    This list is in two parts: conferences accepting submissions and conferences closed to submissions . After a conference is held its entry is moved to a list of past conferences . You can use your browser's FIND capability to search for a conference acronym. Last updated: December 2, 2003
    Conferences open to submissions (sorted by submission deadline) CAC '04: Workshop on Communication Architecture for Clusters
    Santa Fe, New Mexico; 4/26/04 (in conjuntion with IPDPS 2004
    cfp: abstract 10/30/03 (elapsed), paper 11/3/03 (elapsed) extended to 12/3/03
    HIPS 2004:
    9th Int'l Workshop on High-Level Parallel Programming Models and Supportive Environments
    Santa Fe, New Mexico; 4/26/04 (in conjuntion with IPDPS 2004
    cfp: 11/17/03 (elapsed) extended to 12/5/03 P-PHEC 2004: Workshop on Productivity and Performance in High-End Computing Madrid, Spain; 2/14/04

    95. IPCA : Parallel : Occam
    PDF Introduction to parallel computing computing parallel programming
    Internet Parallel Computing Archive
    Parallel Occam
    News ... Dave Beckett WoTUG

    96. Programming For Parallel And High-Performance Computing
    programming for parallel and HighPerformance computing Jonathan Wang sBookshelf on parallel computing, including Distributed Batch Processing,
    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

    97. Parallel Computing Research
    parallel computing Research Caltech s Summer Research Program for Women inFinal Year. Education / Outreach. EDUCATION / OUTREACH

    98. UC Berkeley CS267 Home Page: Spring 1999
    Applications of parallel Computers. Spring 1999. TuTh 12302, 310 Soda Resources for parallel machines, programming, tools, applications,
    U.C. Berkeley CS267 Home Page
    Applications of Parallel Computers
    Spring 1999
    TuTh 12:30-2, 310 Soda
  • Professor:
    Jim Demmel
    Office hours: T Th 2:15 - 3:30, or by appointment
    (send email)
  • TA:
    Fred Wong
    Discussion session: TBD
    Office hours: TBD in 533 Soda
    Office Phone: 642-8299, Cell Phone: 386-6688, Home phone: 834-3303

    (send email)
  • Secretary:
    Victor Faessel, 776 Soda Hall
    (send email)
  • Announcements:
  • Class Project Proposals
  • Access CS267 Newsgroup
  • CS267 Telebears information
  • Spring 99 Class Roster (names, addresses, interests) ...
  • Results of class survey
  • Handout 1: Class Introduction for Spring 1999
  • Handout 2: Class Survey for Spring 1999
  • The Sharks and Fish problem.
  • Assignment 1: Warm-up exercise
  • Results of assignment 1
  • Assignment 2: Memory Benchmark and Matrix-multiply race
  • Results of assignment 2 ...
    Class Projects
    Lecture Notes
    The notes from the Spring 96 CS 267 will be updated and installed here, along with daily notes.
  • Lecture 1, 1/19/99: Introduction to Parallel Computing
  • Lecture 2, 1/21/99: Memory Hierarchies and Optimizing Matrix Multiplication
  • Lecture 3, 1/26/99: Introduction to Parallel Architectures and Programming Models
  • Lecture 4, 1/28/99: More about Shared Memory Processors and Programming ...
  • Lecture 15, 3/9/99: Graph Partitioning - II
  • Lecture 16, 3/11/99: MetaComputing
    (guest lecture by Adam Ferrari
  • Lecture 17, 3/16/99: Graph Partitioning - III
  • 99. WANG'S BOOKSHELF (Parallel Computing)
    Welcome to Jonathan Wang s Bookshelf on parallel computing parallel ProgrammingSystems For Workstation Clusters Craig Douglas
    Welcome to Jonathan Wang's Bookshelf on Parallel Computing
    WELCOME: // Local time: Fri Feb 3 14:16:36 EST 1995
    Why parallel computing? ( Introduction
    How fast can it be? (The top 500 super computers, in postscript, size 10M) Contents:
  • Distributed Batch Processing
  • Parallel Computing
  • Message Passing
  • Shared Object
  • Misc (yet to be sorted)
  • Super Computers/labs
  • Compiler/Parallelizer
  • Benchmarks
  • Fault Tolerance and Load Balance
  • Parallel Software
  • Comprehensive Links at Other Institutes
  • Personal Stuff
  • Mail Drop 1. Distributed Batch Processing
  • 100. Parallel Computing Toolkit: Product Information
    Programs written using parallel computing Toolkit are platform independent andcan run on any computer for which Mathematica is available.
    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'); Products Parallel Computing Toolkit Features New in Version 2 ... Give us feedback Sign up for our newsletter:
    Unleash the Power of Parallel Computing
    Tackle large-scale problems with the power of parallel computing. Engineers, scientists, and analysts will find Parallel Computing Toolkit ideal for product design and problem solving. Educators can use this package in classrooms and labs to quickly convey and explore the concepts of parallel computing. Parallel Computing Toolkit brings parallel computation to anyone with access to more than one processor, regardless of whether the processors are multiprocessor machines, networked PCs, or a Top 500 supercomputer. This package implements many programming primitives for writing and controlling parallel Mathematica programs as well as high-level commands for common parallel operations. Programs written using

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