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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.
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
JAX is a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).
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 DDR2 64 128 28.8 10.0 3.3 n/a n/a Unknown The block of decoding of HD-video PureVideo HD is disconnected GeForce 8200 mGPU [44] Unknown Unknown gt Unknown PureVideo 3 with VP3
The high end Quadro RTX 8000 features 4,608 CUDA cores and 576 Tensor cores with 48 GB of VRAM. [27] Later during the Gamescom press conference, Nvidia's CEO Jensen Huang, unveiled the new GeForce RTX series with RTX 2080 Ti, 2080, and 2070 that will use the Turing architecture.
CUDA: No Yes No since 9.1, see step-64 for matrix-free GPU+MPI example Preliminary API for sparse linear algebra Solver: Dimension: 0D, 1D, 2D, 3D (can coexist) 1D/2D/3D Any, possibility to mix and couple problem of different dimension 1/2/3D 1D/2D/3D (dimensions may coexist) 1/2/3D 1/2/3D 1/2/3D FE:
FL10_1 3.1 Windows 3.3 macOS [25] 3.3 Linux ES 3.0 Linux: No 21.3 1720 No Desktop Celeron G4x0 Celeron G5x0 Celeron G530T Pentium G6xx Pentium G6x0T Pentium G8x0 650–1100 HD Graphics 2000: Desktop: Core i3-2102 Core i3-21x0 Core i3-21x0T Core i5-2xx0 Core i5-2x00S Core i5-2xx0T Core i7-2600 Core i7-2600S: 0102: 650–1350: Yes Workstation ...
A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]