Search Results for "parallel"

This is the repository to host all those Harbour's contrib libraries and applications which could not comply with strict Harbour project goals but had the potentiality to march into the future. The goal is to keep this repository parallel with Harbours contrib and use the same build system which Harbour uses. This way it will be possible easily to shift any library/application from here to Harbour or vice-verse. As I am totally ignorant of Harbour's build system, it will be appreciated if someone knowledgeable take over this responsibility, which might be one-time task. ...

Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub**

Intermediate Language Distributed Just-In-Time (ILDJIT) is a unified compilation framework for CIL bytecode. It is a parallel and easily extensible framework thanks to its internal structure composed by plugins.

Sisal is a unique parallel language that supports a clean, fully implicit parallelization model. The optimizing sisal compiler (sisalc) works on top of pthreads to give high performance on commodity SMP architectures.

Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.

LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.

42 has six primary goals: foster extreme code reuse; run faster than C; compile to both software and hardware; run faster on reconfigurable computers; support parallel programming; and allow users to extend the language.

The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.

A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.

Brook is an ANSI C like general purpose stream programming language and is designed to incorporate the ideas of data parallel computing and arithmetic intensity into a familiar, efficient language. Has OpenMP CPU, OpenGL, DirectX 9 and AMD CTM backends.

Copper is a C extension to make parallel programing more easily. Cu is a preprocessor that converts Copper files (.cu) to C files (.c) using PVM as underlying parallel programing interface.

The Minions programming language makes it easy to write performant, highly parallel programs. Minions are especially good at web apps. Minions like the web.

This compiler tries to detect pieces of code in a program that are not dependant and compile them in a way that the resulting code can be execuded in parallel on a runtime system built to support this. Only an experiment for my thesis.