Forum On Parallel Computing Curricula Allen, Barry Wilkinson, James Alley (UNC Charlotte) parallel programming for the infunctions personal experiences in teaching and learning parallel computing. http://www.cs.dartmouth.edu/FPCC/
Extractions: Newport, RI In the last few years, many institutions have developed and offered courses on parallel computation, in recognition of the growing significance of this topic in computer science. Parallel computation curricula are still new, however, and there is a clear need for communication and cooperation among the faculty who teach such courses. This workshop, following the lead of the first Forum in 1995, will address this need by bringing together parallel computing researchers, faculty who teach parallel computing courses, and faculty who are interested in developing parallel computing courses in their own schools. Moreover, the joint organization of the workshop with the Symposium on Parallel Algorithms and Architectures (SPAA '97), June 23-25, 1997, will increase the opportunities for interaction between researchers and educators in the field. The intention of this workshop is to maximize interaction among those using innovative techniques, tools, or strategies to teach parallel computation. We also want to encourage those faculty who are interested in using innovative materials to come and present to us the problems they have encountered. It is expected that this workshop will create a forum that will facilitate the exchange of ideas, syllabi, course materials, software, and experiences among instructors of parallel computation courses.
Extractions: Select a Discipline Chemistry Computer Science Economics Finance Life Science Mathematics Physics/Astronomy Statistics by Keyword by Author by Title by ISBN Advanced Search ABOUT THIS PRODUCT Description Table of Contents Features New To This Edition Appropriate Courses RESOURCES Discipline-Specific RELATED TITLES Parallel Programming / Concurrent Programming (Computer Science) Introduction to Parallel Computing, An: Design and Analysis of Algorithms, 2/E View Larger Image Ananth Grama Purdue University Add to Cart Instructor Exam Copy Description Introduction to Parallel Computing, 2e provides a basic, in-depth look at techniques for the design and analysis of parallel algorithms and for programming them on commercially available parallel platforms. The book discusses principles of parallel algorithms design and different parallel programming models with extensive coverage of MPI, POSIX threads, and Open MP. It provides a broad and balanced coverage of various core topics such as sorting, graph algorithms, discrete optimization techniques, data mining algorithms, and a number of other algorithms used in numerical and scientific computing applications. Pearson Education Legal Notice Permissions
Bibliographies On Parallel Processing 635, Bibliography on Concurrent Scientific computing, (1994). 630, Bibliographyof the book Research Directions in parallel Functional programming , (1999). http://liinwww.ira.uka.de/bibliography/Parallel/
Extractions: Example: (specification or verification) and asynchronous #Refs Bibliography Date Multiprocessor/Distributed Processing Bibliography MGNet Bibliography on multigrid, multilevel, and domain decomposition methods Bibliography on publications about supercomputers and supercomputing Bibliography on Parallel Processing from RISC ... Proceedings of the 1993 DAGS/PC Symposium (The Second Annual Dartmouth Institute on Advanced Graduate Studies in Parallel Computation) Total number of references in this section liinwwwa@ira.uka.de
Introduction To Parallel Computing 1. Introduction (figures). Motivating parallelism; Scope of parallel computing; Organizationand Contents of the Text. 2. parallel programming Platforms (figures). http://www-users.cs.umn.edu/~karypis/parbook/
Extractions: Ananth Grama, Purdue University, W. Lafayette, IN 47906 (ayg@cs.purdue.edu Anshul Gupta, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598 (anshul@watson.ibm.com George Karypis, University of Minnesota, Minneapolis, MN 55455 (karypis@cs.umn.edu Vipin Kumar, University of Minnesota, Minneapolis, MN 55455 (kumar@cs.umn.edu The solutions are password protected and are only available to lecturers at academic institutions. Click here to apply for a password. Click here to download the solutions (PDF File). 1. Introduction ( figures 2. Parallel Programming Platforms ( figures 3. Principles of Parallel Algorithm Design (
An Introduction To Parallel Computing channels. Why is programming of parallel computers difficult? Usually,each computation process requires data from other processes. http://pds.twi.tudelft.nl/~reeuwijk/parguide/parallel.html
Parallel Programming Pattern Language: Background Information on the parallel computer. For this you need a programming environmentthat supports parallel computing. This is beyond the scope http://www.cise.ufl.edu/research/ParallelPatterns/PatternLanguage/Background/Int
Extractions: Pattern Name: Introduction Background Information This note (written in the form of a pattern) provides background information for this project. Together with the other background documents linked from it, it defines the core concepts and the terminology used in our parallel application pattern language. Parallel computing is complex and can be very confusing. We hope to reduce this complexity and make parallel computing acceptable to the general programmer by creating a pattern language for parallel application computing. Patterns are represented as text. To make this text understandable to a broad audience, we need to be very clear about our terminology. Actually, this is equally important for those writing patterns, since parallel computing, like any new field of study, lacks a uniform terminology, and there is considerable variation in what meanings are attached to different terms. If we want our patterns to use a uniform terminology, we need to define one. This document is the gateway to our notes describing current technology and the terminology we will use. Our introduction (which consists of this note and the documents linked from it) serves two distinct purposes. For programmers new to parallel computing, it provides an introduction to parallel computing. This introduction is not complete and cannot provide your full education in parallel computing. It includes, however, an
Extractions: Customer Reviews Yes, this is definitely a good book. The discussions on some of the topics are in depth. Parallel algorithm designs are considered from several different angles (mostly from theoretical performance's point of view). One definitely has to get some backgrounds in algorithms before one can digest the contents of this book, thus I recommend this book only for juniors, seniors, graduate students. From the theoretical point of view this book is great, but from the "experimental" point of view is not. It lacks examples and exercises on doing the theory in the actual parallel computers. Thus you have to develop your own MPI (or openMP) understanding and apply it to the topics discussed in this book. Excellent introduction to the field, specially for the beginner. There is no other book as clear and concise as this one. If you need an introduction to parallel computing / programming, buy this book now!
Any Search Info - Directory Computers Parallel Computing Programming OpenMP An API for multiplatform sharedmemory parallel programming in C/C++ andFortran. Specification, presentations, event calendar, and sample programs. http://search-info.com/search/engine/index/Computers/Parallel_Computing/Programm
Introduction To Parallel Computing Workshop, Heidelberg, Germany The aim of this workshop is to give the participants an introduction into parallelcomputing and some specialization to parallel programming with MPI, OpenMP http://sandra.iwr.uni-heidelberg.de/~hdminh/workshop2002/
Extractions: Location: The workshop will mostly take place in the Interdisciplinary Center for Scientific Computing of the University of Heidelberg , INF 368, D-69120, Heidelberg, Germany. Here is the map However, the workshop will start in the Kirchhoff-Institut für Physik , INF 227, which is shown on this map . The blue circle in this map shows the location of the nearest tram station "Bunsengymnasium". For more information about public transportation in Heidelberg, see
Extractions: ZPL ZPL is a new array programming language designed from first principles for fast execution on both sequential and parallel computers. Because ZPL benefits from recent research in parallel compilation, it provides a convenient high level programming medium for supercomputers with efficiency comparable to handcoded message passing. Users with scientific computing experience can generally learn ZPL in a few hours. Those who have used MATLAB or Fortran 90 may already be acquainted with the array programming style. Current Version: License Type: Free for Non-Commercial Use Home Site: http://www.cs.washington.edu/research/projects/zpl/ Source Code Availability: No Available Binary Packages: Targeted Platforms: x86/Linux, Alpha/OSF, MIPS/IRIX, PowerPC/AIX, SPARC/Solaris, SGI Origin, SGI Power Challenge, Intel Paragon, IBM SP2, Cray T3D/T3E; contact authors for others. Software/Hardware Requirements: C compiler, MPI or PVM is required to run programs in parallel; otherwise, they are simply run as sequential programs. Other Links: None Mailing Lists/USENET News Groups: zpl-announce@cs.washington.edu
Wiley::Parallel Computing On Heterogeneous Networks specifics of parallel computing with heterogeneous networks. Practically oriented,the book includes illustrative algorithms in the mpC programming language, a http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471229822.html
Visual Programming And Parallel Computing - Browne, Dongarra Visual programming and parallel computing (1994) (Make Corrections) (2 citations)James C. Browne, Jack Dongarra, Syed I. Hyder, Keith Moore, Peter Newton. http://citeseer.ist.psu.edu/browne94visual.html
PCOMP parallel and High Performance computing (HPC) are highly dynamic fields. PCOMP isnot an exhaustive compendium of all links related to parallel programming. http://www.npaci.edu/PCOMP/
Extractions: 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.
IPCA : Parallel : Occam programming Environments for parallel computing 1992 Nigel P. Topham, Roland N. Ibbett, Thomas Bemmerl (Eds.) programming Environmentsfor parallel computing, Proceedings of the IFIP WG 10.3 Workshop on http://www.hensa.ac.uk/parallel/occam/
Parallel Computing, Volume 22 Angot A Practical and Portable Model of programming for Iterative and Reduction,Prefix Computation, and Sorting on Reduces Hypercube parallel Computer. http://www.informatik.uni-trier.de/~ley/db/journals/pc/pc22.html
Supercomputing And Parallel Computing Resources CFP PCRCW 97 (Workshop on parallel computing, Routing, and Communication). ProgramCOORDINATION 97 (Conference on Coordination Models and Languages). http://www.cs.cmu.edu/~scandal/resources.html
Extractions: 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. From serious journals to frivolous pictures: If you can't find it from one of these pages, it's not worth finding: 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).