An extension library of WMMA API (Tensor Core API)
Algorithms implemented in CUDA + resources about GPGPU
G3: A Programmable GNN Training System on GPU
Parallel reduction of boundary matrices for Persistent Homology with CUDA
GPU Framework for Radio Astronomical Image Synthesis
CUDA implementation of parallel Depth First Search (DFS) algorithm and it's comparison with a serial C++ DFS implementation.
CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.
A CUDA implementation of the Tsetlin Machine based on bitwise operators
An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.
GPU/CUDA implementation of Leveled BFV/CKKS/BGV scheme.
LBM (Lattice Boltzmann method) software for flow simulation, using GPU acceleration
A GPU performance prediction toolkit for CUDA programs
CUDA Finite Difference Library
Get started with CUDA programming
👾 CUDA examples for deep learning problems
Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the development of new skills and the formation of new knowledge. This research studies the behavior and performance of two interdisciplinary and widely adopted scientific kernels, a Fast Fourier Transform and Matrix M…
Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.
A python API for GPU-powered stiff ODE models simulation
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