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In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
and version Developer Platforms Main uses License Bryce: 2010-12-23 7.1.0.109 Daz 3D: Windows (32-bit), macOS (10.7 and above) Animation, landscape modeling, fractal geometry Proprietary: Clara.io: redesigned in 2015-03-31 Exocortex Mozilla Firefox, Google Chrome, Microsoft Internet Explorer: Modeling, animation, rendering Proprietary: E-on Vue ...
Each memory controller uses a 32-bit connection with up to 12 controllers present for a combined memory bus width of 384-bit. The Lovelace architecture can use either GDDR6 or GDDR6X memory. GDDR6X memory features on the desktop GeForce RTX 40 series while the more energy-efficient GDDR6 memory is used on its corresponding mobile versions and ...
In Pascal, an SM (streaming multiprocessor) consists of 128 CUDA cores. Kepler packed 192, Fermi 32 and Tesla only 8 CUDA cores into an SM; the GP100 SM is partitioned into two processing blocks, each having 32 single-precision CUDA Cores, an instruction buffer, a warp scheduler, 2 texture mapping units and 2 dispatch units.
The Quadro line of GPU cards emerged in an effort towards market segmentation by Nvidia. [citation needed] In introducing Quadro, Nvidia was able to charge a premium for essentially the same graphics hardware in professional markets, and direct resources to properly serve the needs of those markets.