sayhellohi Goto Github PK

air-top-k-gpu_benchmark

GPU TopK Benchmark

awslabs

catch2

A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)

cs344

Introduction to Parallel Programming class code

cub

Cooperative primitives for CUDA C++.

cuda-cnn

Implementation of a simple CNN using CUDA

cuda-programming

learning CUDA program

cuda_pi_montecarlo

CUDA code for Monte Carlo estimation of Pi (see https://www.geeksforgeeks.org/estimating-value-pi-using-monte-carlo/)

cuhnsw

CUDA implementation of Hierarchical Navigable Small World Graph algorithm

disimpy

A simple tool for generating synthetic diffusion magnetic resonance imaging data that can be useful in model validation and method development. Data is generated by running massively parallelized Monte Carlo simulations on Nvidia's CUDA-capable graphical processing units. Please note that this module is not finished yet.

finmath-lib-cuda-extensions

Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs

gomc

GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems

gpu-topk

Efficient Top-K implementation on the GPU

gpu_selection

Parallel selection on GPUs

gswitch

A pattern-based algorithmic autotuner for graph processing on GPUs.

hello-world

just another repository

hnswlib

Header-only C++/python library for fast approximate nearest neighbors

hoomd-blue

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

mc_gradients

nsphere

In N-dimensional space, calculate the volume of the N-sphere inscribed in the unit N-cube, using the Monte Carlo method, in a Jupyter notebook. Vector math (Numpy), multiprocessing, GPU/CUDA acceleration.

sandman

Neutron Raytracing / Monte Carlo library running on GPU (CUDA)

scan_opencl

Hillis and Blelloch Scan implementation

sdaccel_examples

SDAccel Examples

tip

Static program analysis for TIP