Artaxerxes - Adaptive High-Performance Stress Tester v.1.0. Rebuild old version Xerxes DDoS. Supports GPU+io_uring, DPDK, eBPF/XDP with intelligent fallbacks. Educational tool for advanced cybersecurity labs
- Updated
Jul 1, 2025 - C
Artaxerxes - Adaptive High-Performance Stress Tester v.1.0. Rebuild old version Xerxes DDoS. Supports GPU+io_uring, DPDK, eBPF/XDP with intelligent fallbacks. Educational tool for advanced cybersecurity labs
A performance-oriented prototyping harness for state of the art Molecular Dynamics algorithms
PatchMatch Stereo with Red-Black modifiaction and Row Parallel modification for massively parallel computing
Mandelbrot set rendered in parallel with MPI, OpenMP, and CUDA
Comprehensive CSE Lab Solutions repo; encompassing all my lab manuals, codes, documents, and endsem questions from my B.Tech program (2020-2024).
An effort to improve Genann library's performance using openMP and cuda programming.
Parallelized version of Counting Sort using CUDA
Marching Cubes implementation using CUDA and OpenGL
Scaleable high-performance computing(HPC) for Data Science
An implementation of different parallelization approaches for the Adaptive Mesh Refinement problem, along with a comparison of their performance on the Ohio Supercomputer.
A project that involved C programming. Where we made use of parallel implementations of OpenMPI and Cuda. We compared the performance of these two and attempted to perform K Means and Fuzzy C Means clustering on synthetic data.
Borde is a GPU-accelerated edge detection app written in C++ and CUDA. It is designed to be fast, easy to use, and easy to integrate into existing projects. Borde is licensed under the MIT license.
Parallelisation of some algorithms using openMPI & CUDA
High Perfomance Computing project for parallelizing recursive fibonacci function with the usage of three API (OMP, MPI and CUDA)
This is a pure C implementation of image mosaic compared with CPU, OpenMP and CUDA acceleration. The input image can be png or jpg files witch shown im samples.
CUDA implementation of a microcanonical Simulated Annealing Monte Carlo algorithm for the 3D Edwards–Anderson spin glass model. This repository contains the code, data, and figures associated with the research available at arXiv.
CUDA and OpenMp NBody simulation based on data from the Milky Way and Andromeda Galaxies
An implementation of dot product using CUDA, x64, and SIMD using the integer data type (32-bits) in C Language.
Add a description, image, and links to the cuda-programming topic page so that developers can more easily learn about it.
To associate your repository with the cuda-programming topic, visit your repo's landing page and select "manage topics."