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GPU (based on VLIW4 architecture) instruction support: DirectX 11, Opengl 4.2, DirectCompute, Pixel Shader 5.0, Blu-ray 3D, OpenCL 1.2, AMD Stream, UVD3 Integrated PCIe 2.0 controller, and Turbo Core technology for faster CPU/GPU operation when the thermal specification permits
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).
The Navi GPUs are the first AMD GPUs to use the new RDNA architecture, [6] whose compute units have been redesigned to improve efficiency and instructions per clock (IPC). It features a multi-level cache hierarchy, which offers higher performance, lower latency, and less power consumption compared to the previous series.
GPU mining is the use of Graphics Processing Units (GPUs) to "mine" proof-of-work cryptocurrencies, such as Bitcoin. [1] Miners receive rewards for performing computationally intensive work, such as calculating hashes, that amend and verify transactions on an open and decentralized ledger.
Components of a GPU. A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.
GameWorks PhysX – is a multi-platform game physics engine; CUDA 9.0–9.2 comes with these other components: CUTLASS 1.0 – custom linear algebra algorithms, NVIDIA Video Decoder was deprecated in CUDA 9.2; it is now available in NVIDIA Video Codec SDK; CUDA 10 comes with these other components: nvJPEG – Hybrid (CPU and GPU) JPEG processing
Common features of Ryzen 5000 desktop CPUs: Socket: AM4. All the CPUs support DDR4-3200 in dual-channel mode.; All the CPUs support 24 PCIe 4.0 lanes. 4 of the lanes are reserved as link to the chipset.
AVX-512 are 512-bit extensions to the 256-bit Advanced Vector Extensions SIMD instructions for x86 instruction set architecture (ISA) proposed by Intel in July 2013, and first implemented in the 2016 Intel Xeon Phi x200 (Knights Landing), [1] and then later in a number of AMD and other Intel CPUs (see list below).