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  2. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm is free, libre and open-source software (except the GPU firmware blobs [4]), and it is distributed under various licenses. ROCm initially stood for Radeon Open Compute platform; however, due to Open Compute being a registered trademark, ROCm is no longer an acronym — it is simply AMD's open-source stack designed for GPU compute.

  3. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    Windows, macOS, Linux, Cloud computing: C++, Wolfram Language, CUDA: Wolfram Language: Yes No Yes No Yes Yes [75] Yes Yes Yes Yes [76] Yes Software Creator Initial release Software license [a] Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support [77] Automatic differentiation [2] Has pretrained ...

  4. oneAPI (compute acceleration) - Wikipedia

    en.wikipedia.org/wiki/OneAPI_(compute_acceleration)

    oneAPI is an open standard, adopted by Intel, [1] for a unified application programming interface (API) intended to be used across different computing accelerator (coprocessor) architectures, including GPUs, AI accelerators and field-programmable gate arrays.

  5. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    GPUOpen HIP: A thin abstraction layer on top of CUDA and ROCm intended for AMD and Nvidia GPUs. Has a conversion tool for importing CUDA C++ source. Supports CUDA 4.0 plus C++11 and float16. ZLUDA is a drop-in replacement for CUDA on AMD GPUs and formerly Intel GPUs with near-native performance. [33]

  6. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    ROCm, launched in 2016, is AMD's open-source response to CUDA. It is, as of 2022, on par with CUDA with regards to features, [citation needed] and still lacking in consumer support. [citation needed] OpenVIDIA was developed at University of Toronto between 2003–2005, [14] in collaboration with Nvidia.

  7. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]

  8. GPUOpen - Wikipedia

    en.wikipedia.org/wiki/GPUOpen

    Nicolas Thibieroz, AMD's Senior Manager of Worldwide Gaming Engineering, argues that "it can be difficult for developers to leverage their R&D investment on both consoles and PC because of the disparity between the two platforms" and that "proprietary libraries or tools chains with "black box" APIs prevent developers from accessing the code for maintenance, porting or optimizations purposes". [7]

  9. AMD APP SDK - Wikipedia

    en.wikipedia.org/wiki/AMD_APP_SDK

    AMD APP SDK is a software development kit by AMD for "Accelerated Parallel Processing" (APP). [1] AMD APP SDK also targets Heterogeneous System Architecture (not only GPU). [2] AMD APP SDK was available for 32-bit and 64-bit versions of Microsoft Windows and Linux but was removed from AMD's official website. [3]