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2 Repos

Awesome GitHub RepositoriesHardware Accelerator Compilers

Translates high-level mathematical expressions and algorithms into optimized machine code for CPUs, GPUs, and FPGAs.

Distinct from GPU-Accelerated Compilers: Distinct from GPU-accelerated compilers: translates high-level expressions into optimized machine code for diverse accelerators including FPGAs and CPUs.

Explore 2 awesome GitHub repositories matching operating systems & systems programming · Hardware Accelerator Compilers. Refine with filters or upvote what's useful.

Awesome Hardware Accelerator Compilers GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • intel/llvmAvatar von intel

    intel/llvm

    1,497Auf GitHub ansehen↗

    The project is a reusable collection of modular compiler and toolchain technologies designed for building optimizers, code generators, and multi-language programming environments. It provides foundational compiler frontend technologies that translate source code written in C, C++, and Objective-C into a low-level programming language and intermediate code format. This intermediate representation enables cross-language analysis, program transformation, and target-independent optimization alongside a cross-platform programming framework that allows developers to write single-source accelerated a

    Translates high-level code into optimized machine instructions for diverse hardware accelerators.

    LLVMintelllvmoneapi
    Auf GitHub ansehen↗1,497
  • tiramisu-compiler/tiramisuAvatar von Tiramisu-Compiler

    Tiramisu-Compiler/tiramisu

    960Auf GitHub ansehen↗

    Tiramisu is a polyhedral C++ compiler framework designed to express and optimize data-parallel algorithms for diverse hardware accelerators. It provides a programming interface that allows developers to define mathematical expressions, manage loop iteration spaces, and organize functions targeting heterogeneous architectures. The system features an advanced compilation infrastructure that abstracts computations into a hardware-agnostic intermediate representation before lowering them into native machine code or hardware configuration bitstreams. It calculates exact data flow dependencies thro

    Translates high-level mathematical expressions and algorithms into optimized machine code for CPUs, GPUs, and FPGAs.

    C++code-generationcompilerdeep-neural-networks
    Auf GitHub ansehen↗960
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