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📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
A high performance library for image processing
CUDA kernel author's tools
Acoustic Vibration of a Fluid in a Three-Dimensional Cavity: Finite Element Method Simulation using CUDA and MATLAB
CUDA Programming Practices
Library for Event Synchronization and Event Coincidence Analysis
A simple image classifier built with Keras using NVIDIA cuda libraries.
A CUDA library of DNA/RNA sequence alignment algorithms.
CUSL: CUDA port of GNU Scientific Library (GSL)
🍒 cuRBLAS (Randomized BLAS) is a GPU-accelerated library for accelerating AI and HPC applications.
https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html
A beginner's guide to CUDA programming
Cuda Graph Library is a CUDA library that offers a set of parallel graph algorithms.
In this project I have implemented the forward function of a Neural Network composed of sparsely connected layers. In order to parallelize the forward function I have built two implementation: one uses OpenMP and the other uses CUDA.
Matrix operation library using single, n-threads or CUDA supported GPU
A single header CUDA library that allows logging individual memory accesses of a GPU kernel with as little changes to the code as possible. An export to JSON together with a web-based visualization is included and allows for easy analysis of the memory access patterns.