CUDA
![cuda logo](https://raw.githubusercontent.com/github/explore/a1b6b508cca4e45f4d4102623957b552f872da89/topics/cuda/cuda.png)
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
Here are 5,020 public repositories matching this topic...
SwiftCUBLAS is a wrapper for cuBLAS APIs with extra utilities for ease of usage, along with a suite of tests. The repository is tested on the newest (v12.5) CUDA runtime API on both Linux and Windows.
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Jul 16, 2024 - Swift
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
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Unified Collective Communication Library
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Jul 16, 2024 - Python
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Python docker images. Please submit Pull Requests to the GitLab repository. Mirror of
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This repository contains comprehensive understanding of Machine Leaning, DeepLeaning using Pytorch
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Jul 16, 2024 - Jupyter Notebook
CUDA Core Compute Libraries
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DBCSR: Distributed Block Compressed Sparse Row matrix library
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Jul 16, 2024 - Fortran
ArrayFire: a general purpose GPU library.
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(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab Julia docker images. Please submit Pull Requests to the GitLab repository. Mirror of
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Jul 16, 2024 - Dockerfile
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
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Jul 16, 2024 - Rust
Project for the course on Parallel and Distributed Computing, with implementations of Multilayer Game of Life in Open MP, Rust and Cuda.
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Jul 16, 2024 - C
A retargetable MLIR-based machine learning compiler and runtime toolkit.
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Doing non-Cartesian MR Imaging has never been so easy.
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Jul 16, 2024 - Python
Created by Nvidia
Released June 23, 2007
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- Website
- developer.nvidia.com/cuda-zone
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