Cuda Ecosystem

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Experts
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Created by: NVIDIA
Released: June 23, 2007

Keywords

gpu 159 python 89 pytorch 69 cpp 58 nvidia 57 machine-learning 50 deep-learning 48 opencl 36 gpgpu 31 rust 31

Languages

C++ 132 Python 122 Cuda 63 Rust 30 Jupyter Notebook 26 C 26 Shell 16 Dockerfile 12 Julia 11 Go 6

Licenses

MIT 158 APACHE-2.0 73 OTHER 55 GPL-3.0 41 BSD-3-CLAUSE 24 GPL-2.0 6 BSD-2-CLAUSE 5 CC0-1.0 4 LGPL-3.0 4 AGPL-3.0 2

https://github.com/m4rs-mt/ILGPU

ILGPU JIT Compiler for high-performance

08 Jan 2017 1,343
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kernel_tuner

Kernel Tuner

28 Mar 2016 248
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https://github.com/diku-dk/futhark

A data-parallel functional programming language

01 Feb 2013 2,302
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https://github.com/ccsb-scripps/autodock-gpu

AutoDock for GPUs and other accelerators

14 Jun 2019 377
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vexcl

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

29 May 2012 701
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https://github.com/pypr/compyle

Execute a subset of Python on HPC platforms

02 Dec 2018 68
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penguinV

Computer vision library with focus on heterogeneous systems

09 Jun 2016 118
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CLTune

CLTune: An automatic OpenCL & CUDA kernel tuner

11 Jan 2015 158
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https://github.com/libmir/dcompute

DCompute: Native execution of D on GPUs and other Accelerators

17 Jul 2016 135
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awesome-gpgpu

A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources

20 Jun 2018 63
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PTXprofiler

A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis

11 Jan 2023 37
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par4all

Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran sequential programs

08 Feb 2014 51
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Multi-Plexer

Goal: Low power cluster capable of serving 24+ streams of 4KHDR60 source transcodes while consuming no more than 100W at peak and idling at less than 10W

01 Jan 2021 25
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spbla

Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations

18 Feb 2021 14
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