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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.
The GeForce 100 series cards include the G100, GT 120, GT 130, GT 140 and GTS 150. The GT 120 is a based on the 9500 GT with improved thermal designs while the GT 130 is based on the 9600 GSO (which itself was a re-badged 8800 GS).
CUDA SDK 12.0 support for Compute Capability 5.0 – 8.9 (Maxwell, Pascal, Volta, Turing, Ampere, Ada Lovelace) See also. Comparison of Nvidia graphics processing ...
Julia is a high-level, general-purpose [16] dynamic programming language, designed to be fast and productive, [17] for e.g. data science, artificial intelligence, machine learning, modeling and simulation, most commonly used for numerical analysis and computational science.
The transistor count is the number of transistors in an electronic device (typically on a single substrate or silicon die).It is the most common measure of integrated circuit complexity (although the majority of transistors in modern microprocessors are contained in cache memories, which consist mostly of the same memory cell circuits replicated many times).