An ultra-lightweight and blazing-fast Messaging broker/bus for IoT edge & SDV
-
Updated
May 24, 2024 - C
An ultra-lightweight and blazing-fast Messaging broker/bus for IoT edge & SDV
During my time at PPKE (Budapest, Hungary), I delved into cutting-edge topics in robotics, exploring areas such as bionic robotic models, sensory robotics, parallel programming, and machine learning. This enriching experience not only broadened my academic horizons but also provided invaluable hands-on experience through an internship.
One Billion Row Challenge in Pure Go - 8ms.
This Secure Document Management System web app incorporates principles of secure computing, parallel computing, and information management (including role-based access control) to provide an efficient, secure, and organized management of documents for organizations.
Freely Coupled Lattice Boltzmann Code
Compute each pixel value of all the images in the input stack for generate the composed of the median, maximum value, pixels valid, last pixel valid and others.
tema3-apd
Pathtracer written in rust - runs in the web and includes an editor.
FMAlign2: A novel fast multiple nucleotide sequence alignment method for ultra-long datasets
Implementation of parallel algorithms
JavaScript негізінде параллельді есептеу
Implemented a multi-class SVM that supports multi-core parallel computing
Erlang Powered Analysis of Sorting Algorithms Using Parallel Processing And Performance Tracking!
Classifying documents in the form of a distributed and parallel application such as Manager Workers
Distributed Deep Learning framework based on Tensorflow2
This software is an fast and reliable tetravex solver based on C++ and CUDA.
Project on Bank & customer transactions processing | COMP6411
This repository contains multiple Dockerfiles for practicing parallel programming and HPC concepts. It provides ready-to-use environments to explore and develop efficient and scalable computing solutions.
Add a description, image, and links to the parrallel-computing topic page so that developers can more easily learn about it.
To associate your repository with the parrallel-computing topic, visit your repo's landing page and select "manage topics."