We have hosted the application parallel for in order to run this application in our online workstations with Wine or directly.


Quick description about parallel for:

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.

Audience: Developers, Science/Research.
User interface: Console/Terminal.
Programming Language: C++.

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