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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.
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.
Project Coriander: Converts CUDA C++11 source to OpenCL 1.2 C. A fork of CUDA-on-CL intended to run TensorFlow. [29] [30] [31] CU2CL: Convert CUDA 3.2 C++ to OpenCL C. [32] 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.
AMD Software (formerly known as Radeon Software) is a device driver and utility software package for AMD's Radeon graphics cards and APUs. Its graphical user interface is built with Qt [ 6 ] and is compatible with 64-bit Windows and Linux distributions .
While the reference implementation runs on single devices, TensorFlow can run on multiple CPUs and GPUs (with optional CUDA and SYCL extensions for general-purpose computing on graphics processing units). [18] TensorFlow is available on 64-bit Linux, macOS, Windows, and mobile computing platforms including Android and iOS. [citation needed]
Pop!_OS 20.10 was released on 23 October 2020 and is based upon Ubuntu 20.10. It introduced stackable tiled windows and floating window exceptions in auto-tiling mode. Fractional scaling was also introduced, as well as external monitor support for hybrid graphics. [41] [42]
The SBC Coral Dev Board and Coral SoM both run Mendel Linux OS – a derivative of Debian. [45] [46] The USB, PCI-e, and M.2 products function as add-ons to existing computer systems, and support Debian-based Linux systems on x86-64 and ARM64 hosts (including Raspberry Pi).
PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms.