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The main competing factor was the price of hardware and raw performance in 3D computer games, which is greatly affected by the efficient translation of API calls into GPU opcodes. The display driver and the video decoder are inherent parts of the graphics card: hardware designed to assist in the calculations necessary for the decoding of video ...
Also known as: discrete graphics cards. Unlike integrated graphics, dedicated graphics cards have much more processing units and have its own RAM with much higher memory bandwidth. In some cases, a dedicated graphics chip can be integrated onto the motherboards, B150-GP104 for example. Regardless of the fact that the graphics chip is integrated ...
GPUOpen also makes it easy for developers to get low-level GPU access. [9] Additionally AMD wants to grant interested developers the kind of low-level "direct access" to their GCN-based GPUs, that surpasses the possibilities of Direct3D 12 or Vulkan. AMD mentioned e.g. a low-level access to the Asynchronous Compute Engines (ACEs). The ACE ...
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 .
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.
The Radeon 500 series is a series of graphics processors developed by AMD.These cards are based on the fourth iteration of the Graphics Core Next architecture, featuring GPUs based on Polaris 30, Polaris 20, Polaris 11, and Polaris 12 chips. [8]
CodeXL's GPU profiler collects and visualizes hardware performance counters data, application trace, kernel occupancy, and offers hotspot analysis for AMD GPUs and APUs. . The profiler gathers data from the OpenCL runtime, and from the GPU/APU itself during the execution of the kernels, and can be used to discover performance bottlenecks and optimize kernel execut
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).