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Topic: Parallel programming


  
 Parallel computing - Wikipedia, the free encyclopedia
A huge number of software systems have been designed for programming parallel computers, both at the operating system and programming language level.
A parallel programming model is a set of software technologies to express parallel algorithms and match applications with the underlying parallel systems.
Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster.
http://en.wikipedia.org/wiki/Parallel_computing   (1086 words)

  
 Allen, Wilkinson, and Alley, "Parallel Programming"
The parallel programming objective of that first semester lab assignment is purely to familiarize the students with the parallel programming environment at UNCC by acquainting them with the process of editing, compiling, and running parallel programs.
The objective is to familiarize them with the parallel programming environment available to them and simply orients them to the fact that under certain circumstances it is possible to reduce the computation time by throwing multiple processors at the solution of a problem.
Between the Freshman year when they are introduced to the concepts of parallel computation, and that Junior/Senior level elective, we are in the process of working additional theory of parallel programming into our Analysis of Algorithms course as well.
http://www.cs.dartmouth.edu/FPCC/papers/Wilkinson   (2815 words)

  
 PARALLEL PROGRAMMING TOOLS
Parallel computers have a building-block-like architecture--that is, they can be scaled up in size as more computing power is needed.
Indeed, developing a parallel programming environment is a priority for all the NSF supercomputer centers.
Programs written with these tools can be easily ported to parallel machines with other architectures such as a shared memory machine or a network of workstations.
http://www.sdsc.edu/GatherScatter/gsmar92/ParallelProgTools.html   (1372 words)

  
 Parallel Programming - Basic Theory For The Unwary
Parallel systems implementation may be done in software, in hardware, or as a combination of both.
A parallel system is a system (software and/or hardware) that allows one to write programs whose different parts are carried out in different threads of execution.
A process is an entity that executes a computer program, and manipulates all other resources in order to fulfill the mission of the program.
http://users.actcom.co.il/~choo/lupg/tutorials/parallel-programming-theory/parallel-programming-theory.html   (4652 words)

  
 Introduction to Parallel Programming
All parallelism is explicit: the programmer is responsible for parallelism the program and implementing the MPI constructs.
There are many methods of programming parallel computers.
May require restructuring of the program and/or algorithm.
http://www.mhpcc.edu/training/workshop/parallel_intro/MAIN.html   (4272 words)

  
 Parallel Programming Pattern Language: Annotated Bibliography
A PI program and a Ping-Pong program is given for each programming environment.
The parallelism of the algorithm is the ratio of the work to the depth.
Paralation is a programming model developed by Gary Sabot of TMC.
http://www.cise.ufl.edu/research/ParallelPatterns/PatternLanguage/Background/Bibliography.htm   (9486 words)

  
 SAL- Parallel Computing - Programming Languages & Systems
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.
Mozart -- a distributed programming language for symbolic and reactive programming.
Most parallel programming languages are conventional or sequential programming languages with some parallel extensions.
http://ceu.fi.udc.es/SAL/C/1/index.shtml   (402 words)

  
 High-Level Parallel Programming Models and Supportive Environments (HIPS 2004)
This situation requires strong research efforts in the design of parallel programming models and languages supporting component-based systems that are both at a high conceptual level and implemented efficiently, in the development of supportive tools, and in the integration of languages and tools into convenient programming environments.
HIPS 2004 is a full-day workshop to be held at the IPDPS 2004 focusing on high-level programming of component architectures for parallel and grid computing.
Its goal is to bring together researchers working in the areas of applications, computational models, language design, compilers, system architecture, and programming tools to discuss new developments in programming component-based systems.
http://www.cca-forum.org/ipdps-workshop   (434 words)

  
 Parellel port output
Parallel port relay relay board kit described at http://electronickits.com/kit/complete/elec/ck1601.htm comes with Windows and DOS control software that can be downloaded at the kit page.
If the parallel port is integrated to the motherboard (like in many new computers) repairing damaged parallel port may be expensive (in many cases it it is cheaper to replace the whole motherborard than repair that port).
http://www.epanorama.net/circuits/parallel_output.html   (15337 words)

  
 Parallel Programming
Paradigms basic to the design of efficient parallel algorithms, methods of problem decomposition, models for evaluating program performance, and techniques for optimizing parallel compilers.
Emergent programming styles for solving problems with a variety of parallel models.
This course is taught by Professor David Gelernter of the Computer Science Department at Yale University.
http://www.cs.yale.edu/homes/gelernter/424a.html   (394 words)

  
 Amazon.com: Parallel Programming Using C++ (Scientific and Engineering Computation): Books
One reason for this is that most parallel programming systems have failed to insulate their users from the architectures of the machines on which they have run.
By hiding the architecture-specific constructs required for high performance inside platform-independent abstractions, parallel object-oriented programming systems may be able to combine the speed of massively-parallel computing with the comfort of sequential programming.
These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control parallelism.
http://www.amazon.com/exec/obidos/tg/detail/-/0262731185?v=glance   (798 words)

  
 Parallel Programming
Parallel processing has matured to the point where it has begun to make a considerable impact on the computer marketplace.
The ultimate efficiency in parallel systems is to achieve a computation speedup factor of p with p processors.
The major approaches to parallel programming, including shared-memory multiprocessing and message-passing multicomputing, will be covered in detail.
http://dps.uibk.ac.at/~tf/lehre/ws0405/ps   (509 words)

  
 Cilk Home Page
Cilk is a language for multithreaded parallel programming based on ANSI C. Cilk is designed for general-purpose parallel programming, but it is especially effective for exploiting dynamic, highly asynchronous parallelism, which can be difficult to write in data-parallel or message-passing style.
Unlike many other multithreaded programming systems, Cilk is algorithmic, in that the runtime system employs a scheduler that allows the performance of programs to be estimated accurately based on abstract complexity measures.
Cilk provides an effective platform for programming dense and sparse numerical algorithms, such as matrix factorization and N-body simulations, and we are working on other types of applications.
http://supertech.lcs.mit.edu/cilk   (777 words)

  
 Parallel Computing Links
Sandia National Laboratory's Trilinos Project is an effort to develop parallel solver algorithms and libraries within an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific applications.
Parallel Scientific Computing, Alan Edelman, Massachusetts Institute of Technology
Parallel Numerical Algorithms, Michael Heath, University of Illinois
http://www.indiana.edu/~rac/hpc/links.html   (495 words)

  
 Parallel Programming Laboratory
To further enhance programmer productivity, we are developing frameworks that automate domain-specific parallelization techniques, and producing reusable libraries for parallel algorithms.
We aim to reach a point where, with our freely distributed software base, complex irregular and dynamic applications can be (a) developed quickly, and (b) perform scalably on machines with thousands of processors.
They are supported by our research on intelligent runtime systems, including load balancing, and communication optimizations.
http://charm.cs.uiuc.edu   (261 words)

  
 NESL: A Parallel Programming Language
Nested data parallelism: this feature offers the benefits of data parallelism, concise code that is easy to understand and debug, while being well suited for irregular algorithms, such as algorithms on trees, graphs or sparse matrices (see the examples above or in our library of algorithms).
It integrates various ideas from the theory community (parallel algorithms), the languages community (functional languages) and the system's community (many of the implementation techniques).
Delaunay triangulation:We have run experiments on a variety of parallel algorithms for planar Delaunay triangulation and have developed a practical variant of an algorithm of Edelsbrunner and Shi.
http://www-2.cs.cmu.edu/~scandal/nesl.html   (756 words)

  
 The PC's Parallel Port
Connecting an 8255 Parallel Peripheral Interface to the ISA bus.
LPTCAP is another approach, consisting of circuits and software for reading the data into a PC's parallel port.
, documentation, a test program, and the Delphi source code, which includes assembly code for port I/O. If you don't see the DLL file after you unzip the files, you probably have system files hidden.
http://www.lvr.com/parport.htm   (2333 words)

  
 Parallel Programming with MPI
Parallel Programming with MPI is an elementary introduction to programming parallel systems that use the MPI 1.1 library of extensions to C and Fortran.
The CHIMP implementation developed by researchers at the Edinburgh Parallel Computing Centre also runs on networks of workstations.
The LAM implementation runs on networks of Unix/Posix workstations.
http://fawlty.cs.usfca.edu/mpi   (550 words)

  
 Parallel Programming Resources
(Local Area Multicomputer) is a programming environment and development system for a message-passing parallel machine constituted with heterogeneous UNIX computers on a network.
PVM is a subroutine library which allows you to distribute you program across many machines in a heterogeneous network (i.e.
Split-C, a parallel extension of the C programming language
http://www.utexas.edu/math/parallel/bytopic.html   (496 words)

  
 Concurrent Programming with J2SE 5.0
Java is a multithreaded programming language that makes programming with threads easier, by providing built-in language support for threads.
This package does for concurrent programming what the collection framework has done to data structures -- essentially freeing the developer from re-inventing the wheel with possibly incorrect and inefficient implementations.
It also aims to provide high-quality implementations consisting of classes and interfaces for atomic variables, locks, barriers, semaphores and condition variables, queues and related collections designed for multithreaded use, and thread pools and a custom execution framework.
http://java.sun.com/developer/technicalArticles/J2SE/concurrency   (2038 words)

  
 UC Berkeley CS267 Home Page: Spring 1996
Lecture 6, 2/1/96: Shared Memory Programming with Multithreading.
Lecture 22, 4/4/96: Parallel Computation in Climate Modeling.
Lecture 3, 1/23/96: Overview of parallel architectures and programming models
http://www.cs.berkeley.edu/~demmel/cs267   (415 words)

  
 HLRS - Organization - Parallel Computing - Parallel Programming Workshop ONLINE
Here, you can find the full workshop program with links to all data on this CD combined with links to the other content that you can find on the web, i.e., via the Online Parallel Programming Workshop.
Services of the Department Parallel Computing and the Working Group Technical and Scientific Computing
The table below shows a summary of courses (and events) on high performance computing, parallel programming models, MPI, OpenMP and numerics.
http://www.hlrs.de/organization/par/par_prog_ws   (1556 words)

  
 Designing and Building Parallel Programs
The content of Designing and Programming Parallel Programs is made available here by permission of the author and the publisher as a service to the community.
Argonne National Laboratory, and the NSF Center for Research on Parallel Computation.
Designing and Building Parallel Programs (Online) is an innovative traditional print and online resource publishing project.
http://www.mcs.anl.gov/dbpp   (225 words)

  
 alphaWorks : Distributed Parallel Programming Environment for Java : Overview
Ignesius E Thambyraj is a senior program manager at the IBM India Software Lab, Bangalore.
DPPEJ includes an easy and intuitive programming model based on distributed threads; object-based, message-passing APIs; and distributable data collection.
Write the parallel computation code inside the run() method of the distributed thread.
http://www.alphaworks.ibm.com/tech/dppej   (461 words)

  
 CODE Visual Parallel Programming System
The parallel program is a directed graph, where data flows on arcs connecting the nodes representing the sequential programs.
Article on CODE: HPCwire, the on-line journal of high-performance computing, published an article on CODE entitled "Visual Parallel Programming May Come of Age with CODE".
The sequential programs may be written in any language, and CODE will produce parallel programs for a variety of architectures, as its model is architecture-independent.
http://www.cs.utexas.edu/users/code   (153 words)

  
 Open Directory - Computers: Parallel Computing: Programming
OpenMP - An API for multi-platform shared-memory parallel programming in C/C++ and Fortran.
NetSolve - A client-server system that enables users to solve complex scientific problems remotely using a variety of languages.
Jaguar - Java Access to Generic Underlying Architectural Resources - Jaguar is an extension of the Java runtime environment which enables direct Java access to operating system and hardware resources, such as fast network interfaces, memory-mapped and programmed I/O, and specialized machine instruction sets.
http://dmoz.org/Computers/Parallel_Computing/Programming   (130 words)

  
 Parallel Port Programming
Problems and Solutions: It may have occurred to you that there are only five bits on the parallel port for input.
============================================================================== C Scene Issue #04 Parallel Port Programming Moe Elzubeir =============================================================================
Three output bits on the control por t and one input on the status port are inverted by the hardware.
http://www.gmonline.demon.co.uk/cscene/CS4/CS4-02.html   (975 words)

  
 TEMPUS PARALLEL: Parallel Programming
A Short Course in Parallel Scientific Computing by
Introduction To Parallel Programming Languages and Occam by George R. Justo
Using MPI: Portable Parallel Programming with the Message-Passing Interface,
http://mazsola.iit.uni-miskolc.hu/tempus/parallel/programming   (88 words)

  
 Computer Science Laboratory Resource Manual
Chapter 1 - Parallel Programming on the Cray T3E
Week Four - Further Applications of Parallel Programming
http://www.andrew.cmu.edu/user/ky0h/CS-Lab/lab-manual.html   (91 words)

  
 Designing and Building Parallel Programs
Next: Contents Up: Designing and Building Parallel Programs
http://www-unix.mcs.anl.gov/dbpp/text/book.html   (8 words)

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