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  2. AMDgpu (Linux kernel module) - Wikipedia

    en.wikipedia.org/wiki/AMDgpu_(Linux_kernel_module)

    AMDgpu is an open source device driver for the Linux operating system developed by AMD to support its Radeon lineup of graphics cards (GPUs). It was announced in 2014 as the successor to the previous radeon device driver as part of AMD's new "unified" driver strategy, [3] and was released on April 20, 2015.

  3. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.

  4. AMD Software - Wikipedia

    en.wikipedia.org/wiki/AMD_Software

    The main AMD GPU software stacks are fully supported on Linux: GPUOpen for graphics, and ROCm for compute. GPUOpen is most often merely a supplement, for software utilities, to the free Mesa software stack that is widely distributed and available by default on most Linux distributions .

  5. Free and open-source graphics device driver - Wikipedia

    en.wikipedia.org/wiki/Free_and_open-source...

    A current version can be downloaded from AMD's site, and some Linux distributions contain it in their repositories. It is in the process of being replaced with an AMDGPU-PRO hybrid driver combining the open-source kernel, X and Mesa multimedia drivers with closed-source OpenGL, OpenCL and Vulkan drivers derived from Catalyst.

  6. Pop!_OS - Wikipedia

    en.wikipedia.org/wiki/Pop!_OS

    Pop!_OS provides three ISO images for download: one with no proprietary video drivers, which supports AMD and Intel GPUs, another with Nvidia drivers, and another for the Raspberry Pi 4, called Pop!_Pi. The appropriate ISO file may be downloaded and written to either a USB flash drive or a DVD using tools such as Etcher or UNetbootin. [19]

  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] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  8. Nvidia's business practices in EU antitrust spotlight ... - AOL

    www.aol.com/news/nvidias-business-practices-eu...

    EU antitrust regulators are asking Nvidia rivals and customers if the U.S. artificial intelligence chipmaker bundles its products that may give it an unfair advantage, people with direct knowledge ...

  9. Mesa (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Mesa_(computer_graphics)

    Graphics device drivers are implemented using two components: a UMD (user-mode driver) and a KMD (kernel-mode driver). Starting with Linux kernel 4.2 AMD Catalyst and Mesa will share the same Linux kernel driver: amdgpu. Amdgpu provides interfaces defined by DRM and KMS.