61. 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. http://www.informatik.uni-rostock.de/en/

Faculty Divisions Research Education ... Search © University of Rostock, Department of Computer Science, A.-Einstein-Str. 21, 18059 Rostock phone:++49(381)498-3400, E-Mail: fachbereich@informatik.uni-rostock.de , Chairman of the Department: Prof.Heuer Last modified: 9.Juni 2003, 569 Accesses (since 2.12.2003), wwwfbin@informatik.uni-rostock.de

62. School Of Computing Science At SFU 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. http://www.cs.sfu.ca/

About Us People Research Grad ... Search Conferences past conferences SAT 2004 - May 10-13, 2004 HPCS '04 - May 16-19, 2004 TAG '04 - May 20-22, 2004 ... RANDOM 2004 - August 22-24, 2004 News past news items COIN-OR Foundation Created - Summer 2004 Seminars and Events all seminars Professor Daniel S. Yeung, The Hong Kong Polytechnic University - June 11, 2004 Colin Cooper, Department of Computer Science, King's College, University of London - June 9, 2004 Scholarship News past scholarship news 2004 Dean of Applied Sciences Convocation Medal recipient, Bistra Dilkina 2004 Dean of Graduate Studies Medal recipient - Manuel Zahariev CSSS Spring 2004 Award Winner - Michael Schwartz ... MSc/PhD Theses Academic Programs Graduate Studies Undergraduate Studies School of Computing Science Faculty of Applied Sciences ... csweb@cs.sfu.ca

63. Distributed And Parallel Computing in concurrent computing. It covers four major aspects Architecture and performance.Theory and complexity analysis of parallel algorithms. programming languages http://www.manning.com/el-rewini

Distributed and Parallel Computing Inside the book Contents Preface Introduction Sample Chapters ... Book Reviews Out of Stock About the book Readers also bought About the authors The Publisher In press Under development Recently published ebooks ... Contact us Distributed and Parallel Computing Hesham El-Rewini and Ted G. Lewis 1997, Hardbound, 469 pages ISBN 1884777511 Our price: 60.00 Currently Out of Stock Send email to webmaster@manning.com for more information. Distributed and Parallel Computing is a comprehensive survey of the state-of-the-art in concurrent computing. It covers four major aspects: Architecture and performance Theory and complexity analysis of parallel algorithms Programming languages and systems for writing parallel and distributed programs Scheduling of parallel and distributed tasks Cutting across these broad topical areas are the various "programming paradigms", e.g., data parallel, control parallel, and distributed programming. After developing these fundamental concepts, the authors illustrate them in a wide variety of algorithms and programming languages. Of particular interest is the final chapter which shows how Java can be used to write distributed and parallel programs. This approach gives the reader a broad, yet insightful, view of the field. Many books on parallel computing have been published during the last 10 years or so. Most are already outdated since the themes and technologies in this area are changing very rapidly. Particularly, the notion that parallel and distributed computing are two separate fields is now beginning to fade away; technological advances have been bridging the gap.

64. Uni Stuttgart - Faculty Of Computer Science Faculty of Computer Science. Computer architecture, computing software, dialogue systems, formal concepts of computer science, graphical engineering systems, intelligent systems, programming languages, software engineering, theoretical computer science, parallel and distributed systems, image understanding, integrated systems engineering and large system simulation. http://www.informatik.uni-stuttgart.de/fakultaet.html.en

Home Organisation News Studies ... Who? What? Where? University of Stuttgart Faculties Faculty of Computer Science In General About us Organisation Information for visitors Navigation ... Computermuseum News Events Conferences and workshops Colloquia Job offers Facilities Institute of Computer Science (IFI) Institute of Parallel and Distributed Systems (IPVS) Zentrale Dienste der Informatik (ZDI) Persons and Contacts Staff Students Research Projects Study groups and committees Preprints and reports Software ... The Microsoft Research PC Pool Teaching and Studies Teaching and Studies International Students Student representatives Information Services Library/literature search About the "Faculty Information System" Informatik-Forum Stuttgart e.V. (infos) infos Job offers Last update: 26. January 1999 ( wm

65. Carleton University 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. http://www.scs.carleton.ca

Connect Current Students Prospective Students Campus Map ... School Directory SCS News Headlines Congratulations to the graduates in 2004! CONGRATULATIONS!! Faculty and staff in the School of Computer Science extend congratulations to all Computer Science students graduating on Thursday, June 10 at the ceremony commencing at 4:00 p.m. [ continue... MSDNAA Software Available for SCS students The School of Computer Science is proud to announce an agreement with Microsoft Canada for direct student software download of many Microsoft products ( XP, .Net, Visio, etc). Carleton University is the first university in Canada that will offer this program. [ continue... SCS Student Recipient of the CIPS Scholarship On April 15, the academic excellence of Miss Gail Banaszkiewicz, 2nd year student in Computer Science was recognized at the CIPS annual breakfast. Gail was selected as the recipient of the CIPS Scholarship in the School of Compter Science. SCS students win OCRI awards Three Carleton University students cornered the market at the Ottawa Centre for Research and Innovation (OCRI) Futures Awards. [ continue...

66. CSCI6356 (Parallel Computing) Courseware -- Xiannong Meng A few other MPI examples; Some other examples of programming including threads,shared memory Here are some links to the parallel computing community. http://www.cs.panam.edu/~meng/Course/CS6356/

CSCI6356 (Parallel Computing) Courseware Xiannong Meng This is CSCI6356, Parallel Computing , on-line courseware. The web pages are under experiment. If you have any comments or suggestions, please send mail to me . Thank you very much. Course Syllabus and Schedule Some MPI notes Project One Project Two Term Paper ... Project Three Texts and major references Parallel Programming Techniques and Applications Using Networked Workstations and Parallel Computers by Barry Wilkinson and Michael Allen, Prentice Hall , 1999, required. Author's book web site Parallel Programming with MPI by Peter Pacheco, Morgan Kaufmann Publishers , 1997, required. Author's book web site Parallel Programming with MPI by Introduction to Parallel Computing Design and Analysis of Algorithms by Vipin Kumar, Ananth Grama, Anshul Gupta, and George Karypis, The Benjamin/Cummings Publishing, 1994. High Performance Cluster computing: Architectures and Systems vol. 1 and vol. 2, Rajkumar Buyya (ed.), Prentice Hall 1999 Design and Building Parallel Programs by Ian Foster, Addison Wesley Publishing Parallel Computation Models and Methods by Selim G. Akl

67. SAL- Parallel Computing - Programming Languages & Systems aCe a dataparallel computing environment designed to improve the adaptability Arjuna an object-oriented programming system for distributed applications. http://gd.tuwien.ac.at:8050/C/1/

Most parallel programming languages are conventional or sequential programming languages with some parallel extensions. A compiler is a program that converts the source code written in a specific language into another format, eventually in assembly or machine code that a computer understands. For message-passing based distributed memory systems, "compilers" often map communication functions into prebuilt routines in communication libraries. Some systems listed here are basically communication libraries. However, they have their own integrated utilities and programming environments. Search SAL: Commercial, Shareware, GPL aCe a data-parallel computing environment designed to improve the adaptability of algorithms. ADAPTOR a High Performance Fortran compilation system. Arjuna an object-oriented programming system for distributed applications. Charm/Charm++ machine independent parallel programming system. Cilk an algorithmic multithreaded language. Clean a higher order, pure and lazy functional programming language. CODE visual parallel programming system.

68. SAL- Parallel Computing - Programming Languages & Systems - Mentat mask the complex aspects of parallel programming, including communication complexityto warrant parallel execution virginia.edu (The Worldwide Virtual Computer) http://gd.tuwien.ac.at:8050/C/1/MENTAT.html

Mentat Mentat is an object-oriented parallel processing system designed to directly address the difficulty of developing architecture-independent parallel programs. The fundamental objectives of Mentat are to (1) provide easy-to-use parallelism, (2) achieve high performance via parallel execution, and (3) facilitate the execution of applications across a wide range of platforms. The Mentat approach exploits the object-oriented paradigm to provide high-level abstractions that mask the complex aspects of parallel programming, including communication, synchronization, and scheduling, from the programmer. Instead of managing these details, the programmer concentrates on the application. The programmer uses application domain knowledge to specify those object classes that are of sufficient computational complexity to warrant parallel execution. Current Version: License Type: The downloadable distribution is available free of charge but may not be redistributed. Home Site: http://www.cs.virginia.edu/~mentat/index.html Source Code Availability: The source code is available on a No-Cost License Agreement Basis.

69. Web Resources For Parallel Computing MPI, the most important standard for messagepassing programming. It is the onedeveloped at the Edinburgh parallel computing Center, listed elsewhere. http://www.eecs.umich.edu/~qstout/parlinks.html

Selected Web Resources for Parallel Computing This list is maintained at www.eecs.umich.edu/~qstout/parlinks.html where the entries are linked to the resource. Rather than creating a comprehensive, overwhelming, list of resources, I have tried to be selective, pointing to the best ones that I am aware of in each category. A slightly whimsical explanation of parallel computing. Glossary of terms pertaining to high-performance computing. Online training material: From Edinburgh Parallel Computing Center (EPCC): Courses include MPI, HPF, Mesh Generation, Introduction to Computational Science, HPC in Business. From NCSA: Courses include MPI, OpenMP, and multilevel parallel programming (MPI + OpenMP). Introduction to Effective Parallel Computing , a tutorial for beginning and intermediate users, managers, people contemplating purchasing or building a parallel computer, etc. ParaScope , a very thorough and up-to-date listing of parallel and supercomputing sites, vendors, agencies, and events, maintained by the IEEE Computer Society. Nan Schaller's extensive list of links related to parallel computing , including classes, people, books, companies, software.

70. Parallel Computing - EECS 587 Here is a somewhat whimsical overview of parallel computing. Work required. Yourgrade will be based on written homeworks, computer programming projects, and a http://www.eecs.umich.edu/~qstout/587/

EECS 587, Parallel Computing Professor: Quentin F. Stout Important Changes This Year: Course is now 4 credits, and thus it fulfills Rackham distribution requirements. Grid computing has been added. Parallel computers are easy to build - it's the software that takes work. Audience Typically about half the class is from Computer Science and Engineering, and half is from a wide range of other areas throughout the sciences, engineering, and medicine. Some students want to become parallel computing specialists, while others intend to apply parallel computing to their discipline. Students range from seniors through postdocs, and occasionally faculty sit in on the course as well. Satisfying Degree Requirements This course can be used to satisfy requirements in a variety of degree programs. CSE Graduate Students: it satisfies general 500-level requirements for the MA and PhD. CSE Undergraduates: it satisfies "computer oriented technical elective" requirements for the CE and CS degrees. Rackam Graduate Students (other than CSE): it fulfills the cognate requirements. Graduate students in the Scientific Computing program administered through LaSC (Laboratory for Scientific Computing): it satisfies computer science distributional requirements. Most of the students in this program take this class.

71. MHHE: SCALABLE PARALLEL COMPUTING: Technology, Architecture, Programming SCALABLE parallel computing Technology, Architecture, programming AuthorsKai Hwang, University of Hong Kong Zhiwei Xu, Chinese Academy of Sciences. http://www.mhhe.com/catalogs/0070317984.mhtml

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72. Parallel Computing - Wikipedia, The Free Encyclopedia A huge number of software systems have been designed for programming parallelcomputers, both at the operating system and programming language level. http://en.wikipedia.org/wiki/Parallel_computing

Parallel computing From Wikipedia, the free encyclopedia. Server will be down for maintenance on 2004-06-11 from about 18:00 to 18:30 UTC. Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain faster results. The term parallel processor is sometimes used for a computer with more than one central processing unit , available for parallel processing. Systems with thousands of such processors are known as massively parallel There are many different kinds of parallel computer (or "parallel processor"). They are distinguished by the kind of interconnection between processors (known as "processing elements" or PEs) and between processors and memory. 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 While a system of n parallel processors is not more efficient than one processor of n times the speed, the parallel system is often cheaper to build. For tasks which require very large amounts of computation, have time constraints on completion and

73. Paralell Computing Links to parallel computing Resources at Indiana U. Open Directory Computers, parallel computing, programming etc; ParaGraph a http://www.personal.kent.edu/~rmuhamma/Parallel/parallel.html

" A scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up that is familiar with it ." - Maxwell Planck Algorithms Compilers Computational Geometry Computer Architecture ... Operating Systems Parallel Computing Links BSP Worldwide Coordinating Bulk Synchronous Parallel Computation. CODE Visual Parallel Programming System allows users to change a sequential programs into a parallel. Chemnitz Cluster Computing Homepage Links to programming projects, calls for papers, software and documentation, and other resources. Concurrent Systems Links to research groups, parallel tools, journals, and conferences. Designing and Building Parallel Programs by Ian Foster. GAP - Groups, Algorithms and Programming Computational Algebra Parallel GAP/MPI (ParGAP/MPI), a share package for GAP Grid Computing Info Centre An initiative to establish a global grid of computing power. Links to conferences, development, and related information. The Grid: The Next-Gen Internet?

74. :: Ez2Find :: Languages Translate Open New Window An object-oriented garbage-collected programming language. oftools to support a standard model for parallel C++ computing. http://ez2find.com/cgi-bin/directory/meta/search.pl/Computers/Parallel_Computing

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75. Research On Runtime Support For Parallel Computing W. Shu, ``Adaptive Dynamic Process Scheduling on Distributed Memory ParallelComputers, Scientific programming, Vol.3, pp.341352, 1994. http://www.cs.buffalo.edu/pub/WWW/faculty/shu/cab.html

Charm At Buffalo (CAB) CAB is a CHARM* research project At Buffalo. It includes the CHARM programming language and the Chare Kernel runtime support system. This project aims at efficiently solving irregular applications on various parallel machines. CHARM is a portable parallel programming system initiated at University of Illinois at Urbana-Champaign. Contents Overview Research topics and publications Research group members Program files Overview The Chare Kernel (CK) system supports irregular applications on parallel machines. This system is a collection of primitive functions that manage chares, manipulate messages, invoke atomic computations, and coordinate concurrent activities. Programs written in the CHARM language can be executed on different parallel machines without change. Users writing such programs concern themselves with creation of parallel actions but not with assigning them to specific processors. The CK emphasizes on parallel performance and scheduling support. Sophisticated scheduling algorithms are implemented to obtain well-balanced load and low overhead. Scheduling algorithms that are implemented include: random allocation, Scatter algorithm, sender-initiate algorithm, receiver-initiate algorithm, gradient model, ACWN, symmetrical hopping, and RIPS. The first CK package was available in 1989. Now it is running on most distributed memory computers: Intel iPSC/860, Touchstone Delta and Paragon, NCUBE, and TMC CM-5.

76. Alexa Web Search - Subjects > Computers > Parallel Computing > Programming Most Popular In programming The 5 most visited sites in all programming categories,updated daily 3. LAM / MPI parallel computing www.lammpi.org - Site Info. http://www.alexa.com/browse/categories?catid=6658

77. ECE 358: Introduction To Parallel Computing Introduction to parallel computing for scientists and engineers. Shared memoryparallel architectures and programming, concepts using shared address space http://www.ece.northwestern.edu/~banerjee/358/

INTRODUCTION TO PARALLEL COMPUTING COURSE NUMBER: ECE 358 INSTRUCTOR: Prithviraj Banerjee CATALOG DESCRIPTION : Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, concepts using shared address space, locks, events, barriers, loop scheduling, compiler directives such as DOALL, portable parallel libraries such as PTHREADS. Distributed memory message-passing parallel architectures and programming, concepts including message sends and receives, global communication promitives, single-program multiple data (SPMD) programs, portable parallel message programming using MPI. Data parallel architectures and programming, concepts such as array sections and array operations, data distribution and alignment, languages such as High Performance Fortran (HPF). Parallel algorithms for engineering applications. PRE-REQUISITES ECE 361 (Computer Architecture) and ECE 230 (Programming for Computer Engineers) or equivalent. REQUIRED TEXTS: Class notes (copies of lecture transparencies) to be handed out to students. RECOMMENDED TEXTS: 1. V. Kumar et al

78. Introduction To Parallel Computing The efficient application of parallel and distributed an important task for computerscientists and System architectures,; programming languages and models http://www.risc.uni-linz.ac.at/courses/ss99/intropar/

Introduction to Parallel Computing Wolfgang Schreiner 326.602, SS 1999, Start: 8.3.1999 Mo 8:30-10:00, T811 The efficient application of parallel and distributed systems (multi-processors and computer networks) is nowadays an important task for computer scientists and mathematicians. The goal of this course is to provide an integrated view of the various facets of software development on such systems including the most important aspects of System architectures, Programming languages and models, Software development tools, Software engineering concepts and design patterns, Performance modeling and analysis, Experimenting and measuring. Class presentation will be accompanied by hands-on experience on a Convex Exemplar SPP1200/24-XA distributed shared memory multiprocessor in data-parallel programming (CONVEX C/Fortran), message passing programming (MPI). Students are expected to elaborate small programming exercises and to present them in class; some experience in C programming is assumed. Contents In evolution. Introduction PostScript Slides A cross-section of the course.

79. LIACC --- Annual Plan For 1998 -- Declarative Programming And Parallel Computing Go backward to Introduction Go up to Top Go forward to parallel computingDeclarative programming and parallel computing. Research http://www.liacc.up.pt/aplan98/englpl98_2.html

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

80. 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. Science, etc. http://www.qango.com/dir/Science/Computer_Science/Supercomputing_and_Parallel_Co

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