There are 1 repository under omp topic.
Open Multiplayer, a multiplayer mod fully backwards compatible with SA-MP
Remote control your Greenbone Community Edition or Greenbone Enterprise Appliance
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.
A MATLAB library for sparse representation problems
Image inpainting based on OMP and KSVD algorithm
Learn OpenMP examples step by step
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
Hyperspectral image Target Detection based on Sparse Representation
The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures
Comparison of Multi-threading between C++ and Rust (OpenMP vs Rayon)
C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms
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.
Image Reconstruction Using Compressive Sensing
OpenId plugin for OJS, OMP, OPS 3.x
Application for simulation of solid state sensor response
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.
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.
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!
A open.mp/sa-mp base script. With MySQL and Bcrypt, use this to start your new gamemode!
omp server template that uses the samp-node plugin
OJS/OMP/OPS plugin for limiting the allowed submission file types
Implemented a static compressed sensing algorithm using orthogonal matching pursuit.
Master's thesis about sparse approximation and dictionary learning using Cloud K-SVD for image denoising. Results show that the algorithm is able to learn sparse representations of signal vectors from distributed data samples in a heterogeneous network setup.
Parallelization of QR decomposition with Householder transformation
A matlab code for the Orthogonal Matching Pursuit Algorithm
Parallel computing: Jacobi and Gauss-Seidel implementation with OpenMP and MPI
This project is a study into the graphics pipeline, software rendering via rasterization and parallel programming (multithreading and SIMD) in C.
A C++ implementation of the Smith - Waterman algorithm. The system consists of 3 different implementations: the one is sequential, while the other two parallelize the execution in a coarse and a fine level respectively, with the use of multithreading.
Announcements Block Plugin for OJS 3