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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Version 1.0.0 was released on February 11, 2017. [17] While the reference implementation runs on single devices, TensorFlow can run on multiple CPUs and GPUs (with optional CUDA and SYCL extensions for general-purpose computing on graphics processing units ). [ 18 ]

  3. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.

  4. IronPython - Wikipedia

    en.wikipedia.org/wiki/IronPython

    Jim Hugunin created the project and actively contributed to it up until Version 1.0 which was released on September 5, 2006. [6] IronPython 2.0 was released on December 10, 2008. [7] After version 1.0 it was maintained by a small team at Microsoft until the 2.7 Beta 1 release.

  5. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    Then 64 of these modules are assembled into 256-chip pods with 11.5 petaFLOPS of performance. [26] Notably, while the first-generation TPUs were limited to integers, the second-generation TPUs can also calculate in floating point , introducing the bfloat16 format invented by Google Brain .

  6. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    Project Coriander: Converts CUDA C++11 source to OpenCL 1.2 C. A fork of CUDA-on-CL intended to run TensorFlow. [29] [30] [31] CU2CL: Convert CUDA 3.2 C++ to OpenCL C. [32] GPUOpen HIP: A thin abstraction layer on top of CUDA and ROCm intended for AMD and Nvidia GPUs. Has a conversion tool for importing CUDA C++ source.

  7. Raspberry Pi - Wikipedia

    en.wikipedia.org/wiki/Raspberry_Pi

    29 February 2016 – Raspberry Pi 3 with a BCM2837 1.2 GHz 64-bit quad processor based on the ARMv8 Cortex-A53, with built-in Wi-Fi BCM43438 802.11n 2.4 GHz and Bluetooth 4.1 Low Energy (BLE). Starting with a 32-bit Raspbian version, with a 64-bit version later to come if "there is value in moving to 64-bit mode".

  8. CMake - Wikipedia

    en.wikipedia.org/wiki/CMake

    CMake was inspired by multiple contemporary tools. pcmaker – developed by Ken Martin and others to support building the Visualization Toolkit (VTK) – converted Unix Make files into NMake files for building on Windows. [4] gmake supported Unix and Windows compilers, but its design led to issues that were hard to resolve. Both tools were ...

  9. CPython - Wikipedia

    en.wikipedia.org/wiki/CPython

    Once Microsoft's extended support period expires for an older version of Windows, the project will no longer support that version of Windows in the next major (X.Y.0) release of Python. However, bug fix releases (0.0.Z) for each release branch will retain support for all versions of Windows that were supported in the initial X.Y.0 release.