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The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [18] which supersedes the beta released February 14, 2008. [19] CUDA works with all Nvidia GPUs from the G8x series onwards, including GeForce, Quadro and the Tesla line. CUDA is compatible with most ...
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.
Supported API version TDP (Watts) Comments Core Shader Memory Pixel (GP/s) Texture (GT/s) Size Bandwidth Bus type Bus width Single precision Direct3D OpenGL OpenCL CUDA; GeForce 8100 mGPU [44] 2008 MCP78 TSMC 80 nm Unknown Unknown PCIe 2.0 x16 500 1200 400 (system memory) 8:8:4 2 4 Up to 512 from system memory 6.4 12.8
An exception to this was the Developer Transition Kit, which always reported the system version as "11.0". [9] macOS Big Sur started reporting the system version as "11.0" on all Macs as of the third beta release. To maintain backwards compatibility, macOS Big Sur identified itself as 10.16 to legacy software and in the browser user agent. [10]
Apple M1 is a series of ARM-based system-on-a-chip (SoC) designed by Apple Inc., launched 2020 to 2022.It is part of the Apple silicon series, as a central processing unit (CPU) and graphics processing unit (GPU) for its Mac desktops and notebooks, and the iPad Pro and iPad Air tablets. [4]
Version 1.3 Supports Mac OS X. [117] Version 1.4 includes support for LLVM 8.0 and 9.0. [118] Version 1.5 implements LLVM/Clang 10 support. [119] Version 1.6 implements LLVM/Clang 11 support and CUDA Acceleration. [120] Actual targets are complete OpenCL 2.x, OpenCL 3.0 and improvement of performance.
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).