Showing 4 open source projects for "parallel programming frameworkc++"

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  • 1
    Bend

    Bend

    A massively parallel, high-level programming language

    Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic...
    Downloads: 0 This Week
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  • 2
    gluon

    gluon

    A static, type inferred and embeddable language written in Rust

    ...This keeps each heap small, reducing the overhead of the garbage collector. Gluon is written in Rust, which guarantees thread safety. Gluon keeps the same guarantees, allowing multiple gluon programs to run in parallel.
    Downloads: 3 This Week
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  • 3
    CubeCL

    CubeCL

    Multi-platform high-performance compute language extension for Rust

    CubeCL is a low-level compute language and compiler framework designed to simplify and optimize GPU programming for high-performance workloads, particularly in machine learning and numerical computing. It provides an abstraction layer that allows developers to write portable, hardware-efficient compute kernels without directly dealing with complex GPU APIs such as CUDA or OpenCL. CubeCL focuses on delivering predictable performance and composability by exposing explicit control over memory...
    Downloads: 2 This Week
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  • 4
    Artichoke Ruby

    Artichoke Ruby

    Artichoke is a Ruby made with Rust

    Artichoke is an experimental implementation of the Ruby programming language written primarily in Rust, aiming to provide a modern, embeddable, and portable Ruby runtime. It is designed to be compatible with MRI Ruby while exploring new approaches to performance, safety, and execution models through Rust’s systems programming capabilities. One of its key goals is to enable Ruby to run in environments where traditional implementations struggle, including WebAssembly and sandboxed or untrusted execution contexts. ...
    Downloads: 0 This Week
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