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TechPowerUp GPU-Z (or just GPU-Z) is a lightweight utility designed to provide information about video cards and GPUs. [2] The program displays the specifications of Graphics Processing Unit (often shortened to GPU) and its memory; also displays temperature, core frequency, memory frequency, GPU load and fan speeds.
GlowCode by Electric Software, Inc. Windows 64-bit and 32-bit applications, C, C++, .NET, and dlls generated by any language compiler. Performance and memory profiler that identifies time-intensive functions and detects memory leaks and errors. Proprietary gprof: Linux/Unix Any language supported by gcc
In the middle: the FOSS stack, composed out of DRM & KMS driver, libDRM and Mesa 3D.Right side: Proprietary drivers: Kernel BLOB and User-space components. nouveau (/ n uː ˈ v oʊ /) is a free and open-source graphics device driver for Nvidia video cards and the Tegra family of SoCs written by independent software engineers, with minor help from Nvidia employees.
CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [6] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.
Nvidia NVENC (short for Nvidia Encoder) [1] is a feature in Nvidia graphics cards that performs video encoding, offloading this compute-intensive task from the CPU to a dedicated part of the GPU. It was introduced with the Kepler -based GeForce 600 series in March 2012 (GT 610, GT620 and GT630 is Fermi Architecture).
Kodi has greater basic hardware requirements than traditional 2D style software applications: it needs a 3D capable graphics hardware controller for all rendering. Powerful 3D GPU chips are common today in most modern computer platforms, including many set-top boxes, and XBMC, now Kodi, was from the start designed to be otherwise very resource-efficient, for being as powerful and versatile a ...
The source code is available in the Nvidia Linux driver downloads on systems that support nvidia-uvm.ko. In May 2022, Nvidia announced a new initiative and policy to open source its GPU Loadable Kernel Modules with dual GPL/MIT license, but only new models at alpha quality. But said "These changes are for the kernel modules, while the user-mode ...
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.
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