Codes for learning cuda. Implementation of multiple kernels.
MIT License
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Safe rust wrapper around CUDA toolkit
MWE for using the Eigen library in CUDA kernels
Python library for fast time-series analysis on CUDA GPUs
VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writ...
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mi...
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
CLTune: An automatic OpenCL & CUDA kernel tuner
CUDA C++ Core Libraries
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs
Python interface to GPU-powered libraries
Playing with CUDA and GPUs in Google Colab
Python interface to CUDA Multi-Process Service
A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources
cuda编程学习入门
Some CUDA design patterns and a bit of template magic for CUDA