hudanasrulloh Goto Github PK

3-d_fft_cuda

A 3D-FFT implementation on C and CUDA.

accfft

A Massively Parallel FFT Library for CPU/GPU

besselintegration

Provide function to calculate the modified Bessel function of the second kind and its derivatives.

computational-finance-cuda

cuda-fft-roguh

Yet another FFT implementation in CUDA. Includes benchmarks using simple data for comparing different implementations.

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cuda-tutorial

This repository consist of several part to study CUDA in general. I got this code from Zenodo.

cuda.jl

CUDA programming in Julia.

cuda_simrecon

Image reconstruction for structured-illumination microscopy implemented in CUDA

cudalibrarysamples

CUDA Library Samples

demo.jl

demopackage.jl

demorepo

diststat.jl

Distributed computation for statistics

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

fastgaussquadrature.jl

Julia package for Gaussian quadrature

fft-project

gomalizingflow.jl

A Julia package for Flow-based sampling algorithm

gpu-research-fft-openacc-cuda

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 Mult

gvegascp

CUDA functions that implement the VEGAS algorithm, a variation of the Monte Carlo method for multi-variable integration.

jetson-nano-tricks

Here you can see many tutorials of how to install programs for jetson nano in a very easy way

julia-gpu-course

GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich

mcintegration.jl

Robust and fast Monte Carlo algorithm for high dimension integration

multi-gpu-programming-models

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

neural-tangents

Fast and Easy Infinite Neural Networks in Python

nfft.jl

Julia implementation of the Non-equidistant Fast Fourier Transform (NFFT)

ogata-cuda

ogata-renew

Ogata quadrature for TMD phenomenology.

openlablecture

Exercises for the CERN Openlab GPU lecture

particleflow

Machine-learned, GPU-accelerated particle flow reconstruction