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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.
AMD Link allows users to stream content to mobile devices, compatible Smart TVs, [b] and other PCs with Radeon video cards, enabling them to use their PC and game on them remotely. It can be used both locally as well as over the internet. The client requires a free app, which is available via Google Play, Apple App Store, and Amazon Appstore. [14]
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.
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]
This library provides mathematical routines optimized for AMD processors. The successor to ACML is the AMD Optimizing CPU Libraries (AOCL), a set of mostly open source libraries compiled for AMD64 processors. It includes the open source BLIS, libFLAME, ScaLAPACK, FFTW, and AOCL-Sparse, plus the original closed-source AMD LibM, memcpy, and RNG. [2]
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]
A growing niche in the chip industry is set to transform AMD.
AMD introduced methods to mitigate some of these drawbacks. For example, the Opteron processors have implemented [4] in 2007 a technique known as Instruction Based Sampling (or IBS). AMD's implementation of IBS provides hardware counters for both fetch sampling (the front of the superscalar pipeline) and op sampling (the back of the pipeline).