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  2. Nvidia CUDA Compiler - Wikipedia

    en.wikipedia.org/wiki/Nvidia_CUDA_Compiler

    CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    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.

  4. 64-bit computing - Wikipedia

    en.wikipedia.org/wiki/64-bit_computing

    64-bit versions of Windows cannot run 16-bit software. However, most 32-bit applications will work well. 64-bit users are forced to install a virtual machine of a 16- or 32-bit operating system to run 16-bit applications or use one of the alternatives for NTVDM. [40]

  5. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    C2050 GPU Computing Module [11] Fermi: July 25, 2011 1× GF100 575 448 1150 — GDDR5 384 3 [g] 3000 144 No 1.030 0.5152 2.0 247 Internal PCIe GPU (full-height, dual-slot) M2050 GPU Computing Module [12] July 25, 2011 — 3092 148.4 No 225 C2070 GPU Computing Module [11] July 25, 2011 1× GF100 575 448 1150 — GDDR5 384 6 [g] 3000 144 No 1.030 ...

  6. Graphics Core Next - Wikipedia

    en.wikipedia.org/wiki/Graphics_Core_Next

    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.

  7. Beta - Projects Desktop Windows - AOL

    beta.aol.com/projects/desktop/windows

    Fixed! - attempt to install 64 bit .net update in 32 OS November Updates and Fixes This update contains fixes that were discovered through beta tester feedback and contains some of the most requested features.

  8. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    6-core Nvidia Carmel ARMv8.2 64-bit CPU 6MB L2 + 4MB L3 8 GiB 10–20W 2023 Jetson Orin Nano [20] 20–40 TOPS from 512-core Nvidia Ampere architecture GPU with 16 Tensor cores 6-core ARM Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 4–8 GiB 7–10 W 2023 Jetson Orin NX 70–100 TOPS 1024-core Nvidia Ampere architecture GPU with 32 Tensor cores

  9. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    [5] [6] It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google's internal use in research and production. [7] [8] [9] The initial version was released under the Apache License 2.0 in 2015. [1] [10] Google released an updated version, TensorFlow 2.0, in September 2019. [11]