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JavaParty
A minimal extension to Java easing distributed parallel programming of cluster computers. A source code transformation automatically generates a distributed pure Java program based on RMI or KaRMI.
http://www.ipd.uka.de/JavaParty/
Unified Parallel C: UPC
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.
http://upc.nersc.gov/
CuPit 2
Designed to express neural network learning algorithms. Compiler, documentation, and examples available. Language reference and tutorial.
http://www.ubka.uni-karlsruhe.de/cgi-bin/p...
Parallaxis-III
Structured language for data-parallel programming (SIMD systems), based on sequential Modula-2, extended. Source code, binaries, sample code, documents.
http://robotics.ee.uwa.edu.au/parallaxis/
Mentat
Object-oriented parallel language based on C++. Documentation, source code and binaries, and sample programs.
http://www.cs.virginia.edu/~mentat/index.h...
PARSEC
PARallel Simulation Environment for Complex systems. C-based simulation language for sequential and parallel execution of discrete-event simulation models. Online technical support, manuals, source code. Replaced Maisie language.
http://pcl.cs.ucla.edu/projects/parsec/
Maisie
C-based simulation language that can be used for sequential and parallel execution of discrete-event simulation models. Papers, source code, sample models. Replaced by PARSEC language.
http://may.cs.ucla.edu/projects/maisie/
Kyle's ZPL/Mercury Research and Examples
Porting ZPL to the Mercury Race computer. Example of the ZPL extern operator to display images. Part of CaPS (Compilers and Parallel Systems), the Systems Lab, and SBS on WJUL.
http://cs.uml.edu/~kfawcett
Unified Parallel C at George Washington University
Community site: projects, news, FAQ, documents, publications, tutorials, forum, mail list, work groups, events, downloads.
http://upc.gwu.edu/
HPC++
A library and set of tools to support a standard model for parallel C++ computing.
http://www.cs.indiana.edu/~sdiwan/open-hpc...
Yale Linda Group
Current research into Linda extensions, papers, and documentation.
http://www.cs.yale.edu/HTML/YALE/CS/Linda/...
Jade
Jade is a parallel extension to C that allows transparent access to shared memory. Papers, manual, and source code.
http://suif.stanford.edu/~scales/sam.html
ZPL
An array programming language. Sample code, papers, recipes, reference manual, and source code.
http://www.cs.washington.edu/research/zpl/...
Orca
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.
http://www.cs.vu.nl/orca/
Z++
An extension of C++ to platform-free distributed computing. It enhances C++ with invariants, threading, database, GUI and conponent-oriented design. Z++ virtual processor supports the entire language on many platforms.
http://www.zhmicro.com
NESL
A functional parallel language. Tutorial, source code, algorithm library, animations, and reference manual.
http://www.cs.cmu.edu/~scandal/nesl.html
The Cilk Project
A language for multithreaded parallel programming based on ANSI C. Source code, manual, papers, and research into parallel chess programs.
http://supertech.lcs.mit.edu/cilk/
The SR Programming Language
Synchronizing Resources is a language for writing concurrent programs. Source code, mailing list archive, and documentation.
http://www.cs.arizona.edu/sr/www/index.htm...
mpC
Parallel extension to C designed for applications development for heterogeous networks. Source code and documentation.
http://www.ispras.ru/~mpc/
BERT 77
Parallelizing compiler for Fortran 77. Software download, reference manual, mailing list. Free.
http://basement-supercomputing.com/bert/
PARLANSE
A parallel programming language supporting symbolic computation on SMP workstations.
http://www.semdesigns.com/Products/Parlans...
Parallel Programming Laboratory
The PPL is part of the Department of COmputer Science. The goal is to develop technology that improves performance of parallel applications while also improving programmer productivity where with a distributed software base, complex irregular and dynamic applications can be developed quickly and perform scalably on machines with thousands of processors. To ensure relevance and long-term impact, we work in the context of real applications.
http://charm.cs.uiuc.edu/
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2006