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In computing, CUDA (Compute Unified Device Architecture) 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.
192:32:16 0.5 1 57.7 128 6.2 25.0 601.34 Unknown 106 $129 GeForce GTX 460 SE November 15, 2010 GF104-225-A1 1950 332 650 1300 3400 6 288:48:32 1 108.8 256 7.8 31.2 748.8 Unknown 150 $160 GeForce GTX 460 October 11, 2010 GF104 7 336:56:32 1 108.8 9.1 36.4 873.6 Unknown OEM July 12, 2010 GF104-300-KB-A1 675 1350 3600 336:56:24 0.75 86.4 192 9.4
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.
The common shader core [48] provides a full set of IEEE-compliant 32-bit integer and bitwise operations. These operations enable a new class of algorithms in graphics hardware—examples include compression and packing techniques, FFTs, and bitfield program-flow control.
As of July 2017, the Graphics Core Next instruction set has seen five iterations. The differences between the first four generations are rather minimal, but the fifth-generation GCN architecture features heavily modified stream processors to improve performance and support the simultaneous processing of two lower-precision numbers in place of a single higher-precision number.