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         Parallel Computing Programming:     more books (100)
  1. Applied Parallel Computing: State of the Art in Scientific Computing. 8th International Workshop, PARA 2006, Umea, Sweden, June 18-21, 2006, Revised Selected ... Science) (Lecture Notes in Computer Science)
  2. Functional Implementation of Lenient Programming Languages (Research Monographs in Parallel & Distributed Computing) by K. Traub, 1990-12
  3. Parallel Computing Works! by Geoffrey C. Fox, Roy D. Williams, et all 1994-05-01
  4. An Introduction to Parallel and Vector Scientific Computing (Cambridge Texts in Applied Mathematics) by Ronald W. Shonkwiler, Lew Lefton, 2006-08-14
  5. Parallel Computing Technologies: 9th International Conference, PaCT 2007, Pereslavl-Zalessky, Russia, September 3-7, 2007, Proceedings (Lecture Notes in Computer Science)
  6. Parallel Computing on Heterogeneous Clusters by Alexey L. Lastovetsky, 2003-08-11
  7. Distributed and Parallel Computing by Hesham El-Rewini, Ted G. Lewis, et all 1998-01
  8. Languages and Compilers for Parallel Computing: 11th International Workshop, LCPC'98, Chapel Hill, NC, USA, August 7-9, 1998, Proceedings (Lecture Notes in Computer Science)
  9. Parallel Combinatorial Optimization (Wiley Series on Parallel and Distributed Computing)
  10. PVM: Parallel Virtual Machine: A Users' Guide and Tutorial for Network Parallel Computing (Scientific and Engineering Computation) by Al Geist, Adam Beguelin, et all 1994-11-08
  11. Applied Parallel Computing: State of the Art in Scientific Computing (Lecture Notes in Computer Science)
  12. Communication Complexity and Parallel Computing by Juraj Hromkovic, 1997-04-11
  13. Languages and Compilers for Parallel Computing: 13th International Workshop, LCPC 2000, Yorktown Heights, NY, USA, August 10-12, 2000, Revised Papers (Lecture Notes in Computer Science)
  14. Parallel Computing and Communication Systems (Industrial Control, Computers and Communications Series) by David Schaefer, 2004-04

41. MPI: Portable Parallel Programming For Scientific Computing
MPI Portable parallel programming for Scientific computing MPI Portableparallel programming for Scientific computing Portable parallel programming
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

42. Computer Science At RPI
Computer Science Department. Research areas Algorithm design; Bioinformatics; Computational Science and Engineering; Computer Vision; Data Mining and Machine and Computational Learning; Database Systems; Generic programming; Human Computer Interfaces; Networking; parallel and Distributed computing; Robotics; Worldwide computing. Troy, NY.
Recent Department News Upcoming events Site search: Admissions Undergraduate Graduate Institute Admissions: Undergraduate Graduate Academics Undergraduate Program Graduate Program Courses Institute Academics Research All Research Groups Technical Reports Anonymous FTP Institute Research People Faculty Staff Contact Institute Directory News and Events Colloquia Seminars News Events ... Institute Events Computing Resources Overview Lab Manual Institute Computing The Computer Science Department at RPI consists of 24 faculty, renowned nationally and internationally for their work. Major research areas include computer vision, engineering database systems, high performance computing, high-level hardware synthesis, human machine interfaces, image and signal processing, numerical computing, parallel processing, software design, and theoretical computer science. The Department confers B.S., M.S., and Ph.D. degrees. Currently there are about 525 undergraduates and about 100 graduate students. Department News Computer Science major graduates at 18 and founds company Full story ...

43. 4.2 Modularity And Parallel Computing
Another difference between sequential and parallel programming is that in the On a parallel computer, both the finite_difference and global_maximum
Next: 4.3 Performance Analysis Up: 4 Putting Components Together Previous: 4.1 Modular Design Review
4.2 Modularity and Parallel Computing
The design principles reviewed in the preceding section apply directly to parallel programming. However, parallelism also introduces additional concerns. A sequential module encapsulates the code that implements the functions provided by the module's interface and the data structures accessed by those functions. In parallel programming, we need to consider not only code and data but also the tasks created by a module, the way in which data structures are partitioned and mapped to processors, and internal communication structures. Probably the most fundamental issue is that of data distribution.
Figure 4.1: Three forms of parallel program composition. In each case, the program is shown executing on four processors, with each arrow representing a separate thread of control and shading denoting two different program components. In sequential composition, different program components execute in sequence on all processors. In parallel composition, different program components execute concurrently on different processors. In concurrent composition, different program components execute concurrently on the same processors.
Another difference between sequential and parallel programming is that in the former, modules can be put together (composed) in just one way: sequentially. Execution of a program leads to a sequence of calls to

44. Institute For System Programing
Offers research and programming in compiler technology and program analysis, computer graphics and visualization, real time systems, discrete mathematics, and parallel computing.

18th May 2005
Workshop "Theoretical and experimental aspects of program obfuscation" was held in the Institute for System Programming, Moscow (April 28-30, 2005)

The Institute for System Programming (ISP) of the Russian Academy of Sciences (RAS) was founded on January 25, 1994, from the departments of System Programming and Numerical Software, formerly of the Institute for Cybernetics Problems of the RAS. ISP RAS is embodied in the Division of Mathematical Sciences of the RAS under the guidance of the Presidium of the RAS. Our address: 109004, Moscow, B. Kommunisticheskaya, 25

45. UC Berkeley CS267 Home Page Spring 1996
Lecture 1, 1/16/96 Introduction to parallel computing Lecture 3, 1/23/96Overview of parallel architectures and programming models Lecture 4,
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.
  • 46. EPCC HPF Page
    Lecture notes and code from a course in parallel programming using HPF.
    EPCC HPF Page
    This page contains the links of all the HPF relevant activities of EPCC:
    EPCC HPF Training
    EPCC HPF Course
    EPCC runs a two day practical based HPF course Writing Data Parallel Codes with High Performance Fortran which covers all of the HPF standard, and backed up with a series of exercises covering standard data-parallel techniques. There is a variety of materials available on this course - the course notes, slides for the course, the exercises (with solutions), or the whole package.
    Course Exercises
    Course Exercise Templates
  • Discontinuous Function [ Fixed Source Free Source Game of Life [ Fixed Source Free Source Mandelbrot Set [ Fixed Source Free Source Birthdays [ Fixed Source Free Source Golf [ Fixed Source Free Source
  • Course Exercise Solutions
  • Discontinuous Function [ Fixed Source Free Source Game of Life [ Fixed Source Free Source Life in Parallel [ Fixed Source Free Source Mandelbrot Set [ Fixed Source Free Source Birthdays [ Fixed Source Free Source Life in a Subroutine [ Fixed Source Free Source Golf [ Fixed Source Free Source
  • EPIC HPF is EPCC's interactive course presentation system, to allow students to follow the EPCC HPF course over the Web. After a short installation procedure, EPIC allows users to interact with local applications through a standard Web browser.

    47. High Performance Computing Applications, Institute For
    Designed to educate science and engineering students in high performance computing with special emphases on parallel computers, system architecture, matrix computation, objectoriented programming, and others.

    48. Parallel Computing/Programming Conferences
    parallel computing/programming Conferences Niraj Shah, 28 Apr 2003 Symposium onPrinciples and Practice of parallel programming (PPoPP)
    Note: JavaScript is disabled , see the Site Map for navigation links
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    ... Taxonomies Articles NP Confs Embedded Confs Networking Confs EDA Confs ... Reconfig. Confs
    Publications ... Next article Parallel Computing/Programming Conferences Niraj Shah , 28 Apr 2003 Last updated: 29 Apr 2003
    Brief Description
    Date of Conf.
    Submission Deadline
    • Parallel Architectures and Systems Parallel and Distributed Algorithms Parallel and Distributed Systems Software Parallel and Distributed Applications
    mid-August late March Intl Conf on High Performance Computing (HiPC) Topics of interest include but are not limited to: Wireless and Mobile Computing, Parallel and Distributed Computing, Communication Networks and Sensor Networks, Heterogeneous Computing, Web-based Meta/Grid/P2P Computing, Network- and Cluster-based Computing, Scalable Servers and System Area Networks, Embedded Applications and Systems, Scientific/Engineering Applications, Network Processor and Router Architectures, Commercial Applications and Workloads, Scalable and Latency-tolerant Algorithms, High-speed Networks and Interconnection Networks, Parallel Languages and Programming Environments, Power-Efficient and Reconfigurable Architectures, EPIC Compilers and Software Support for ILP and TLP, Superscalar, Speculative, VLIW, and SMT Microarchitectures, Operating Systems for Scalable and High-performance Computing, Compiler Technology for Power-aware and High-performance Computing

    49. Computer Science And Software Engineering
    Department of Computer Science. Research areas include design and analysis of algorithms, computer architecture and VLSI, databases and information systems, mathematics of computation, parallel and distributed computing, artificial intelligence, programming languages and methodology, and theoretical computer science.

    Prospective Students
    Current Students About Us People ... Department of CS
    Last modified on May 4, 2004 by

    50. Department Of Computer Sciences
    Institute of Computer Science. Research areas include theoretical computer science, graph grammars, visual programming, computational linguistics, evolutionary computation, parallel and distributed systems, soft computing, fault tolerance, object oriented systems, pattern recognition, data warehousing, scientific databases, workflow management, performance evaluation, artificial intelligence, computer graphics, and simulation.
    Department of Computer Sciences Home Page


    School Portal
    [in German]



    Dept. of Computer Sciences
    Department of Computer Sciences

    Address, Chair, Secretary,
    Abuse, Webmaster
    ... News News, Job offers, Calendar of Events, Institutes Theoretical Computer Science Programming Languages and Programming Methodologies ... Hardware Software Codesign B. Research Group Business Applications School Portal (Schulportal) [only in German] Academics Advisory Service Degree Programs (Computer Science ... Research Research Topics, Common Research Projekts Publications People Professors, Staff Job Database Job database of the Computer Science Department Search People, Web Pages, Lectures, Rooms, ... People: Web pages: Academics - News Einführungsveranstaltung der Technischen Fakultät für Studienanfänger am 17.10.05 ab 08:15 The lectures in winter 2005/06 start on Monday 2005/10/17 and end on Friday 2006/02/10. Mensa Süd - Menu [in German] Contact Last modified: 2005-09-12 08:45 Kö

    51. Nan's Parallel Computing Page
    Introduction to Effective parallel computing (U. Michigan). parallel Distributedcomputing Syllabus (UNC); parallel programming at UNCCharlotte
    Nan's Parallel Computing Page
    This list contains links related to parallel computing. If you have any suggestions please send me e-mail: Please note that an ' XXX ' at the end of a line means that I have recently (see the date at bottom of page) had trouble getting there. I am working on fixing/deleting these links. Nan Schaller's Interests Page e-mail: Nan Schaller's Home Page RIT's Home Page
    Links Go

    Parallel Computers
    Odyssey FAQ
    The sC++ language - Synchronous Java
    Applied Parallel Research, Inc.
    ARCH Library ...
    Tools for CSP
    Cluster Computing
    MOSIX - Scalable Cluster Computing for Linux (Hebrew Univ.)
    Appleseed-parallel Macintosh Cluster
    IEEE CS Task Force on Cluster Computing
    Kaláka, Distributed system for high performance parallel computing (Univ. of Auckland, NZ)
    SCL Cluster Cookbook
    Java for Parallel/High Performance Computing
    Concordia Home Page
    Concurrent Programming Using the Java Language
    concurrency: State Models and Java Programs
    Infosphere Infrastructure - Current Release ...
    CTJ - Communicating Threads in Java (NL)
    Java(tm) Distributed Computing
    Java Parallel
    JavaOne Session Presentations
    TOPIC Links and Pages ...

    52. R. K. Shyamasundar's Home Page
    Tata Institute of Fundamental Research, Mumbai Real-Time and Reactive programming, Logic programming, Pi-Calculus and Mobile computing, parallel Programs, programming Languages.
    R.K. Shyamasundar
    Tata Institute of Fundamental Research
    Bombay 400 005
    India Fax: +91 22 2280 4610
    Fax: +91 22 2280 4611
    Tel: +91 22 2280 4545 X 2288
    e-mail: TCS Group


    Secretary, John Barretto (X 2531) TCS john[AT]
    Research Interests and Publications
    Indian Association for Research in Computing Science

    53. Parallel Computing - Wikipedia, The Free Encyclopedia
    The Center for programming Models for Scalable parallel computing Cluster Builder Cluster Resources LinuxHPC http//
    Parallel computing
    From Wikipedia, the free encyclopedia.
    Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain faster results.
    Parallel computing systems
    The term parallel processor is sometimes used for a computer with more than one processor , available for parallel processing. Systems with thousands of such processors are known as massively parallel There are many different kinds of parallel computers (or "parallel processors"). They are distinguished by the kind of interconnection between processors (known as "processing elements" or PEs) and between processors and memories. Flynn's taxonomy also classifies parallel (and serial) computers according to whether all processors execute the same instructions at the same time ( single instruction/multiple data SIMD ) or each processor executes different instructions ( multiple instruction/multiple data MIMD ). Parallel processor machines are also divided into symmetric and asymmetric multiprocessors, depending on whether all the processors are capable of running all the operating system code and, say, accessing I/O devices or if some processors are more or less privileged.

    MTASK is a parallel programming language for memorysharing environments. LAIPE (Link And In parallel Execute) is a high-performance package for scientific and engineering computing, programmed in MTASK.
    This web site must be viewed by frame-supported browser. Configure your user agent to display frames.

    55. List Of Publications In Computer Science - Wikipedia, The Free Encyclopedia
    16 parallel computing. 16.1 The Structure of THE Multiprogramming System;16.2 How to Make a An axiomatic basis for computer programming
    List of publications in computer science
    From Wikipedia, the free encyclopedia.
    (Redirected from List of important publications in computer science This is a list of important publications in computer science , organized by field. Some reasons why a particular publication might be regarded as important:
    • Topic creator – A publication that created a new topic Breakthrough – A publication that changed scientific knowledge significantly Introduction – A publication that is a good introduction or survey of a topic Influence – A publication which has significantly influenced the world Latest and greatest – The current most advanced result in a topic

    56. Computing Science Home
    School of computing Science. Research labs focus on algorithms and optimization, systems science, computational epidemiology, computer vision, database systems, graphics and multimedia, hardware design, software agents, intelligent software and systems, knowledge representation, logic and functional programming, medical computing, natural language processing, parallel and distributed computing, mathematical sciences, programming languages, simulating and exploring ecosystem dynamics, and distance learning.
    Site Map News: TASC I Is Now Open!
    TASC I, a 9000 square metre, $23 million complex officially opened its doors to its new tenants from Computing Science, Earth Sciences and Resource Environmental Management on Tuesday, September 6, 2005. Read More... More News...
    September 19, 2005 Conscious Robots in the making October 1, 2005 SFU 40th Anniversary CS Alumni Gathering October 7, 2005 Shadow Day More Events... Education Undergrad Program ...

    Webmaster: Faculty of Applied Sciences Simon Fraser University

    57. HLRS - Services - Parallel Computing - Programming Models
    The following parallel programming models are supported on our platforms. science and parallel programming from the Edinburgh parallel computing Centre
    The following parallel programming models are supported on our platforms. Message Passing All platforms MPI, the standard Message Passing Interface
    Hitachi SR8000 Programming Models on Hitachi SR8000 : MPI+Compass, MPI+OpenMP, MPI-MPP
    Cray T3E, Workstations PVM, the Parallel Virtual Machine (non-standard predecessor of MPI)
    Data-/Worksharing Cray T3E, SGI, SP2 HPF - High Performance Fortran (from PGI)
    NEC SX-5 HPF on the NEC SX-5, see HPF Compiler and HPF programming model and man hpf NEC SX-4 HPF on the NEC SX-4, see HPF Compiler and HPF programming model and hpfsx -help Hitachi SR2201 and SR8000 HPF on the Hitachi SR2201, see HPF Compiler and HPF programming model and man pf90
    Explicit shared memory programming Cray T3E shmem, a Cray interface for one-sided communication, see man intro_shmem
    NEC SX-5, Hitachi SR8000 One-sided communication in the standard MPI 2.0, see MPI at HLRS
    Shared memory programming NEC SX-5, SGI, Linux, NT, Solaris86, hp-V OpenMP - The OpenMP application program interface (API) supports multi-platform shared-memory programming on Unix platforms and Microsoft Windows NT architectures (further links: KAI OpenMP ). OpenMP and MPI is together usable in the same program.

    58. Rostock, University
    Computer Science Department. Research areas include theoretical computer science, algorithms and theory of programming, computer architecture, information and communication services, parallel and super computing. databases and information systems, programming languages and compilers, simulation, software techniques, and computer graphics.
    Faculty Divisions Research Education ... Search © University of Rostock, Department of Computer Science, A.-Einstein-Str. 21, 18059 Rostock
    phone:++49(381)498-7450, E-Mail: , Chairman of the Department: Prof.Heuer
    Last modified: 9.Juni 2003, 7354 Accesses (since 2.12.2003),

    59. HLRS - Organization - Parallel Computing - Parallel Programming Workshop ONLINE
    Course material of parallel programming Workshop. 19a, 1710, (020), L,Grid computing Easy Access to Distributed Resources (talk) 2004C lec rm PDF
    ONLINE practical in C Fortran
    Content ONLINE COURSE and course material to
    • MPI, OpenMP, HPF, and advanced topics in parallel programming, see days
    • Fortran Day
    • NEC SX-8 Days
    • NEC SX-6 Day
    • Introduction to Computational Fluid Dynamics (Course 2005D), see CFD-days
    • Introduction to Computational Fluid Dynamics (Course 2004D, i.e., older version), see here
    Based on HLRS Parallel Programming Workshops we made the total course material online available. It includes the full audio information
    Shortcuts ONLINE
    : Online presentation of the slides without audio information.
    : Online presentation of the slides with english audio information.
    : Online presentation of the slides with german audio information.
    The audio information is coded as RealMedia Playlists. They require at least the free RealPlayer 8 Basic or the free RealPlayer One, see Real web-page
    : A full copy of the slides with 2 slides per sheet. For printing the course material used in the online-presentations.
    PDF files can be viewed with the free Acrobat reader, see

    60. Carleton University - School Of Computer Science Homepage
    School of computing Science. Research labs focus on object oriented programming, software engineering, pervasive computing, networks, network security, parallel and distributed computing, algorithms, computer vision, database systems, graphics and multimedia, software agents, intelligent software and systems, knowledge representation, logic and functional programming, medical computing, natural language processing.
    Library Carleton A-Z CU Phonebook Campus Map ... Faculty/Staff Explore SCS Noticeboard SCS News Upcoming Seminars > GENERAL INFO About the School Applications UG/Grad Calendars UG/Grad Registration Student Info Contact Us -> STUDENT INFO Courses Webpages Account Help MSDNAA Software Honours Project Undergrad Society > RESEARCH Current Research Graduate Theses Technical Reports Graduate Society > PEOPLE Faculty Adjuncts Admin Staff Tech Staff School Directory SCS News Upcoming Seminars GENERAL INFO About the School ... School Directory HPCVL / Sun Scholarships Awarded September 15, 2005 - Congratulations to Jehiua Yi and Xuemei Luo, PhD candidates in Computer Science, who have been selected to receive a $5,000 HPCVL / Sun Microsystems of Canada, Inc. Scholarship in the Computational Sciences and Engineering. [continue...]
    Cyber-crime meets its match August 23, 2005 - In a bid to gain an advantage over cyber-criminals, Carleton has co-founded a unique Internet security forum. The Forum for Information Security Innovation in Canada (FISIC) promises to increase public awareness about potential gaps in Internet security and offer new ways to stop cyber-criminals. [continue...]

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