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A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP
GPU accelerated pre-filtered cubic b-spline interpolation using CUDA
A repository that compliments gpgpu-sim, providing automated regression scripts, simulation launching utilities and the code + arguments for simulations that complete in a reasonable amount of time…
Fast, lightweight, GPU-based, CT Image Reconstruction
A collection of awesome algorithms, implemented in CUDA.
Code written for Compton scattering image reconstruction using CUDA.
This example builds on the parallel-forall repo separate compilation example by adding CMake to it.
Dark channel Haze removal algorithm with CUDA acceleration (typically 10x or more speedup using a Nvidia GPU)
Multi-Scale Deep Compressive Sensing Network, IEEE Inter. Conf. Visual Comm. Image Process. (VCIP), 2018
A parallel implementation of image denoising using Cuda and cuFFT.
Difference of Convolution for Deep Compressive Sensing, IEEE International Conference on Image Processing (ICIP), 2019 - Training code included.
Sub-second pencil beam dose calculation on GPU for adaptive proton therapy
This project consists of the first successful GPU acceleration of an important MRI denoising alogorithm called Non Local Maximum Likelihood estimation
GPU-accelerated micromagnetic simulation program to study the static behavior of the micromagnets using a Monte Carlo (MC) algorithm.
cupSODA is CUDA-powered coarse-grain deterministic simulator of mass-action kinetics models
Show a simple example about how to use cuda by CMakeLists.txt
Low-Field MRI Diffusion Monte Carlo Simulations on Multi-GPUs
Hybrid OpenMP-CUDA implementation of the Modified SOR method for solving the Convection Diffusion Equation
A CPU and GPU implementation (using CUDA) for the Non Local Means algorithm for denoising images