Web Links [Tag : Parallel]
31. Parallaxis-III
Structured language for data-parallel programming (SIMD systems), based on sequential Modula-2, extended. Source code, binaries, sample code, documents.
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Parallaxis-III - A Structured Data-Parallel Programming Language
Parallaxis is a structured programming language for data-parallel
programming (SIMD systems), developed by Thomas Bräunl in 1989.
The language is based on sequential Modula-2, but extended
by machine-independent parallel
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Community site: projects, news, FAQ, documents, publications, tutorials, forum, mail list, work groups, events, downloads.
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*Title:UPC: Distributed Shared Memory Programming; Authors: Tarek El-Ghazawi, William Carlson, Thomas Sterling, Katherine Yelick; ISBN: 0-471-22048-5
; Published by John Wiley and Sons- May, 2005
gwu-upc at hermes dot gwu dot edu
The UPC working group at the
is involved in a number of efforts:
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Language for parallel programming on distributed systems, based on the shared data-object model, a portable form of object-based distributed shared memory. Papers and manual.
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The Orca Parallel Programming Language
Orca is a language for parallel programming on distributed systems,
based on the shared data-object model.
This model is a simple and portable form of object-based distributed
The language has been implemented on the following platforms (on some still
Parix
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Extensions to C to support distinctions between local and shared data structures, and pointers to them; for high performance computing on large-scale parallel machines, uniform programming model for shared and distributed memory.
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The Berkeley Unified Parallel C (UPC) Project is working to develop a high-performance, portable implementation of the UPC language. In addition to compiler development, we are also actively researching high-performance communication and parallel compiler optimizations, in addition to developing new UPC application benchmarks.
Berkeley UPC - Unified Parallel C (A joint project of LBNL and UC Berkeley) Unified Parallel C ( UPC ) is an the C programming language designed for high performance computing on large-scale parallel machines. The language provides a uniform programming model for both shared and distributed
Berkeley UPC - Unified Parallel C (A joint project of LBNL and UC Berkeley) Unified Parallel C ( UPC ) is an the C programming language designed for high performance computing on large-scale parallel machines. The language provides a uniform programming model for both shared and distributed
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Visitor Ratings Google PR 35. BERT 77
Parallelizing compiler for Fortran 77. Software download, reference manual, mailing list. Free.
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Basement Supercomputing Basement Supercomputing, Basement Supercomputing
Automatic and Efficient Parallelizer for FORTRAN Adding more processors to speed up a FORTRAN application is a cost effective way to improve performance. The problem is: ACTUALLY IMPROVE PERFORMANCE? The answer to this question can be very costly in terms of time and money and is perhaps the
Automatic and Efficient Parallelizer for FORTRAN Adding more processors to speed up a FORTRAN application is a cost effective way to improve performance. The problem is: ACTUALLY IMPROVE PERFORMANCE? The answer to this question can be very costly in terms of time and money and is perhaps the
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By using type based parallelism the programmer can write very efficient, simple, code targeted at Grids, Clusters or SMPs in this language. Full online documentation and source/binaries available for download.
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Current Version: 0.41 (beta)
As technical challenges increase, the notion of using many computers to solve tasks is a very attractive one and has been the focus of much research. However, with the advent of Symmetric MultiProcessors (SMPs), a weakness in this field has been exposed - It is actually
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Compiler for a variety of platforms. Product information and online purchasing.
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PGI Product Feature Comparison Chart
F77, F95 and HPF for 64-bit x64 and 32-bit x86 processor-based systems. PGI Fortran Workstation is PGI's Fortran compiler bundle. PGI Fortran Workstation includes a single user node-locked license for all of the PGI Fortran compilers, for ® OpenMP and MPI graphical debugger and for ®
F77, F95 and HPF for 64-bit x64 and 32-bit x86 processor-based systems. PGI Fortran Workstation is PGI's Fortran compiler bundle. PGI Fortran Workstation includes a single user node-locked license for all of the PGI Fortran compilers, for ® OpenMP and MPI graphical debugger and for ®
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Visitor Ratings Google PR 38. DAPPLE
Data-Parallel Programming Library for Education is a parallel library for C++ that defines vector and matrix types. Software, reference manual, and sample code.
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DAta-Parallel Programming Library for Education (DAPPLE)
DAPPLE is a C++ class library designed to provide the illusion of a
data-parallel programming language on conventional hardware and with
conventional compilers. DAPPLE defines Vectors and Matrices as basic
classes, with all the C operators
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Tools for using user-defined data types with MPI. Papers, source code, and documentation.
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AutoMap and AutoLink are tools aiming at helping people to work with data-types when using MPI. They were developped by the National Institute of Standards and Technoloy. AutoMap works as a source-to-source compiler reading directly from the user definitions. AutoLink is a library designed to transfer dynamic data-types (like graphs) using MPI.
August 28th, 2000 Release of May 18th, 2000 Release of June 22nd, 1999 Official release of AutoMap and AutoLink v2.20 May 7th, 1999 This site received an February 22nd, 1999 Bug fix in al_packettune.pl (fix included in v2.20) February 15th, 1999 Release v2.11.2 of AutoLink (Uses v2.11.1 of
August 28th, 2000 Release of May 18th, 2000 Release of June 22nd, 1999 Official release of AutoMap and AutoLink v2.20 May 7th, 1999 This site received an February 22nd, 1999 Bug fix in al_packettune.pl (fix included in v2.20) February 15th, 1999 Release v2.11.2 of AutoLink (Uses v2.11.1 of
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Measurement and analysis tool for parallel programs that use MPI. Papers, source code, binaries, and manuals.
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The Paradyn project develops technology that aids tool and
application developers in their pursuit of high-performance,
scalable, parallel and distributed software. The primary project,
Paradyn , leverages a technique called dynamic instrumentation to
efficiently obtain performance profiles of
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