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Apps with 'Parallel Computing' feature

  1. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments.

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  2. Apache Spark™ is a fast and general engine for large-scale data processing. Speed Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.

    Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing.



  3. This project was created in order to support a new internet. One that is more open, free, and censorship-resistant in comparison to the old internet.

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  4. Turn your iPad into a professional drawing tablet.

  5. Many forums and blogs don't have the capacity to store images on their own servers. Instead, posters are required to use a third-party host to share images. Many free image hosts exist, such as imagevenue, imagebam, and imageshack to serve the purposes of sharing images.

  6. GridRepublic is a customized version of the BOINC software designed to simplify installation and participation by the average computer user.

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  7. CAD.FEM will assist you in designing and analyzing 3D models of structural elements or any other 3D models easily and accurately, and quickly.

  8. Allinea Forge is a toolsuite for developers of C, C++ or Fortran software. It includes a debugger and profiler that can single threaded - or multiprocess and multithreaded software running on today's multicore workstations and multi-server systems.

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  9. Intel Parallel Studio XE tool suite simplifies the design, development, debug, and tuning of code that utilizes parallel processing to boost application performance.

  10. Allinea MAP is the profiler for parallel, multithreaded or single threaded C, C++ and F90 codes.

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  11. Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel, to load balance processing, and to call functions between languages.

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  12. HPCC Systems offers an open source cluster computing platform used to solve Big Data problems. Its unique architecture and simple yet powerful data programming language (ECL) makes it a compelling solution to solve data intensive computing needs.

  13. dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a cluster or grid.

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  14. A peer to peer GPU computing platform for for HPC applications such as Machine learning and 3D design at upto 10X less cost. Get a GPU at the cost of a CPU.

  15. The project provides a thread pool with work-stealing allowances. - GitHub - facebookincubator/dispenso: The project provides a thread pool with work-stealing allowances.