Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Arrayfire	4,318			a year ago			325	bsd-3-clause	C++
ArrayFire: a general purpose GPU library.
Spark Rapids	619		1	10 months ago	19	October 24, 2023	1,271	apache-2.0	Scala
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Aparapi	370	17	9	3 years ago	19	July 12, 2021	47	apache-2.0	Java
The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
Oneapi.jl	163			a year ago			26	other	Julia
Julia support for the oneAPI programming toolkit.
Dcompute	116			3 years ago	2	October 15, 2017	18	bsl-1.0	D
DCompute: Native execution of D on GPUs and other Accelerators
Ml Testing Accelerators	58			a year ago			35	apache-2.0	Jsonnet
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
Rayaccel	50			8 years ago			1	mit	C
Hybrid CPU and GPU ray traced rendering using shared memory.
Sneakysnake	44			2 years ago			1	gpl-3.0	VHDL
SneakySnake:snake: is the first and the only pre-alignment filtering algorithm that works efficiently and fast on modern CPU, FPGA, and GPU architectures. It greatly (by more than two orders of magnitude) expedites sequence alignment calculation for both short and long reads. Described in the Bioinformatics (2020) by Alser et al. https://arxiv.org/abs/1910.09020.
Accelerator Docker	35			5 years ago			1	other	C++
Accelerator-Docker : provides common interface for automatic passthrough of heterogeneous hardware accelerators in docker
Autooffload.jl	29			3 years ago			17	mit	Julia
Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations

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Sneakysnake ⭐ 44

SneakySnake:snake: is the first and the only pre-alignment filtering algorithm that works efficiently and fast on modern CPU, FPGA, and GPU architectures. It greatly (by more than two orders of magnitude) expedites sequence alignment calculation for both short and long reads. Described in the Bioinformatics (2020) by Alser et al. https://arxiv.org/abs/1910.09020.

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