Search results
Results From The WOW.Com Content Network
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] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.
In January 2019, the TensorFlow team released a developer preview of the mobile GPU inference engine with OpenGL ES 3.1 Compute Shaders on Android devices and Metal Compute Shaders on iOS devices. [30] In May 2019, Google announced that their TensorFlow Lite Micro (also known as TensorFlow Lite for Microcontrollers) and ARM's uTensor would be ...
Available now, version 2.0.8 CUSHAW: Parallelized short read aligner: Parallel, accurate long read aligner – gapped alignments to large genomes: 10x: T 2075, 2090, K10, K20, K20X: Yes: Available now, version 1.0.40 GPU-BLAST: Local search with fast k-tuple heuristic: Protein alignment according to blastp, multi CPU threads: 3–4x: T 2075 ...
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2]
Pop OS (stylized as Pop!_OS) is a free and open-source Linux distribution, based on Ubuntu, and featuring a customized GNOME desktop environment known as COSMIC.The distribution is developed by American Linux computer manufacturer System76.
ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.
The benchmark 3D scene is a steampunk-style city on flying islands in the middle of the clouds. The scene is GPU-intensive because of tessellation used for all the surfaces, dynamic sky with volumetric clouds and day-night cycle, real-time global illumination, and screen-space ambient occlusion.
This article needs attention from an expert in artificial intelligence.The specific problem is: Needs attention from a current expert to incorporate modern developments in this area from the last few decades, including TPUs and better coverage of GPUs, and to clean up the other material and clarify how it relates to the subject.