Showing 11 open source projects for "parallel programming frameworkc++"

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  • 1
    The Julia Programming Language

    The Julia Programming Language

    High-level, high-performance dynamic language for technical computing

    Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing...
    Downloads: 5 This Week
    Last Update:
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  • 2
    The Futhark Programming Language

    The Futhark Programming Language

    A data-parallel functional programming language

    Futhark is a small programming language designed to be compiled into efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimizing ahead-of-time compiler that presently generates either GPU code via CUDA and OpenCL, or multi-threaded CPU code. Futhark is not designed for graphics programming, but can instead use the compute power of the GPU to accelerate data-parallel array computations. The language...
    Downloads: 1 This Week
    Last Update:
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  • 3

    Halide

    A language for fast, portable data-parallel computation

    Halide is a programming language for fast, portable data-parallel computation. It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Alain is a symbolic, homoiconic programming language that employs parallel SLD resolution and pattern matching (unification). Data is represented using CONS lists of Unicode characters, while input and output operations make use of the file API. Please see FAQ.gmi and LICENSE.TXT in the source code bundle for more details.
    Downloads: 0 This Week
    Last Update:
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  • 5
    BMDFM

    BMDFM

    Binary Modular DataFlow Machine (BMDFM)

    Binary Modular DataFlow Machine (BMDFM) is a software package that enables running an application in parallel on shared memory symmetric multiprocessing (SMP) computers using the multiple processors to speed up the execution of single applications. BMDFM automatically identifies and exploits parallelism due to the static and mainly dynamic scheduling of the dataflow instruction sequences derived from the formerly sequential program. The BMDFM dynamic scheduling subsystem performs a symmetric...
    Downloads: 0 This Week
    Last Update:
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  • 6
    Kotlin

    Kotlin

    The Kotlin programming language

    It is an open-source, statically typed programming language supported and developed by JetBrains and open-source contributors. Support for multiplatform programming is one of Kotlin’s key benefits. It reduces time spent writing and maintaining the same code for different platforms while retaining the flexibility and benefits of native programming. Kotlin plugin is intended to work with several recent versions of IntelliJ IDEA and Android Studio. Each platform is allowed to have a different set...
    Downloads: 21 This Week
    Last Update:
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  • 7
    gluon

    gluon

    A static, type inferred and embeddable language written in Rust

    Gluon is a static, type inferred and embeddable language written in Rust. Gluon is a small, statically-typed, functional programming language designed for application embedding. Static typing makes it easier to write safe and efficient interfaces between gluon and the host application. Type inference ensures that types rarely have to be written explicitly giving all the benefits of static types with none of the typing. Marshalling values to and from gluon requires next to no boilerplate...
    Downloads: 2 This Week
    Last Update:
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  • 8
    Accelerate

    Accelerate

    Embedded language for high-performance array computations

    ... architectures including multicore CPUs and GPUs. Embedded in the advanced functional programming language Haskell, Accelerate programs are declarative, statically-typed, pure, functional, and ready to exploit all of the performance of modern parallel hardware. The combination of a strong type system, high-level code, and interactive development environment, allows you to develop code quickly with the confidence that it is correct.
    Downloads: 0 This Week
    Last Update:
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  • 9
    Pipelines

    Pipelines

    An experimental programming language for data flow

    Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.
    Downloads: 0 This Week
    Last Update:
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  • 10
    Chapel

    Chapel

    a Productive Parallel Programming Language

    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**
    Downloads: 0 This Week
    Last Update:
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  • 11
    PARUS

    PARUS

    Dataflow parallel programming language for clusters

    PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it.
    Downloads: 0 This Week
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