Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP

Header only framework for data analysis in massively parallel platforms.

Remote control your Greenbone Vulnerability Manager (GVM)

Image inpainting based on OMP and KSVD algorithm

Hyperspectral image Target Detection based on Sparse Representation

A MATLAB library for sparse representation problems

Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0

Learn OpenMP examples step by step

Heidelberg Monograph PublishingTool (heiMPT) is a stand-alone platform, as well as a plug-in application for OMP. It enables a high degree of automation in the digital publication process.

Application for simulation of solid state sensor response

并行化稀疏表示中的正交匹配追踪 OMP算法；编写基于C++98版本的线程池，并学习编写在并发条件下的hash线程安全编写！

C and MATLAB implementation of Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms

Data protection has become an increasingly significant issue, especially with the rapid development and use of the Internet. Here we tried to make image watermark protection even if image is tampered. Firstly generated a self-recovery image that is robust to tampering attacks. In the preprocessing phase, we used the chaotic mixing algorithm to evenly distribute the hidden information. the resulting information is called “chaotic information”.We used common images that are standard in the field of image processing to train the codebook via the Linde–Buzo–Gray algorithm. Furthermore, we used the resulting codebook to encrypt and decrypt our experimental images. In the last step of the preprocessing phase, we generated a robust image as the self-recovery image. Next, for both the encryption and decryption phases, we used the OMP algorithm to implement the sparse approximation. For the process of sparse approximation, we selected the index yielding the maximum coefficient in the sparse coefficient vector to represent the corresponding vector. So, in encryption phase by using codebook, image, information(watermark) one private key is generated. and in decryption phase using codebok, image, private key informatin(watermark) is generated as the result.

Skoltech HPC course

Parallelization of QR decomposition with Householder transformation

The Shariff plugin adds social media buttons to the website without compromising the privacy of website users, using Shariff (https://github.com/heiseonline/shariff) solution.

NAS benchmark suite source

High Performance Computing Mini Projects

Image inpainting using sparse representations (OMP and IRLS)

This repository provides an API for SSketch framework. SSketch can be used as a generic framework for Streaming Sketch-based Analysis of Big Data on FPGA.

OJS Typeset plugin

A matlab code for the Orthogonal Matching Pursuit Algorithm

一些在振动信号重构中应用的稀疏重构算法

This repository provides the source code for RISE framework. RISE can be used as a generic framework Real-Time Intelligent Video Surveillance on FPGA.

Parallel implementations of the game of life 3D with MPI and OMP

OJS/OMP 3.1+ plugin for limiting the allowed submission file types

OMP-Portal Arthistoricum

Regression Task using OMP on UCI Machine Repository in MATLAB

Python modules for web2py OMP portal.

This project is a study into the graphics pipeline, software rendering via rasterization and parallel programming (multithreading and SIMD) in C.