CONUNConnect On New Universal Networks
DISTRIBUTED SUPER COMPUTING PLATFORM
What is CONUN?
CONUN is a distributed supercomputing platform based on block chaining. A service platform that enables high-performance computing resources to be
shared by sharing idle resources between participants' personal computers and smartphones
OVERVIEW
Technology IntroductionCONUN's Distributed Computing provides a general-purpose computing network architecture platform that enables distributed processing of personal computers connected to the Internet based on desktop grid computing technology.
CONUN is operated by an agreement between distributed computing resource share participants and users and supports open and horizontal profit ecosystem for all participants.
ArchitectureCONUN is designed to design a single computing node that controls components such as CPU, GPU, memory, and storage devices, which are resources of personal computers, and processes each application by modulating each node.
Grid Computing Core
Distributed computing core functionality that uses personal computer resources to handle computing tasks
Virtual Machine (Docker Container)
An independent virtual processing system that deploys and automatically runs applications on each compute node without interference from individual operating systems
Hybrid Peer-to-Peer Network
All computers on the network perform client / server roles without distinguishing between computer types
Ethereum smart contracts (transaction system)
Agreement / payment processing system that exchanges transparent and secure transactions without relay service
USE CASES
- Projects for scientific calculations: It can be used to perform scientific computing tasks that require complex and fast computing performance.
- Deep Learning Model Project: In the field of artificial intelligence, it is possible to learn deep learning algorithms quickly by creating user-designed Deep Learning models in the fields of machine learning technologies such as Convolution Neural Network (CNN), Circular Neural Network (RNN) and Reinforcement Learning Process environment can be implemented.
- Big Data Analysis Project:It is used to process text mining, opinion mining, social network analysis, and cluster analysis for analysis of unstructured data such as data mining, natural language processing, pattern recognition processing, and social media using big data analysis technology.
- Computer Graphics Processing Project: Computer-generated images (CGI) in the computer graphics field are used to quickly and inexpensively process projects such as movies, television programs, advertisements, simulators, simulations, and 3D computer graphics.
- Life science research project: Biological research for improving existing therapies for the treatment of diseases and developing new therapies is one of the areas that utilize distributed computing, and the distributed computing environment can be used for research in university research institutes and biotechnology.
- Survey of academic / research / socio-cultural issues: Various academic researches, social and cultural issues can be created by participating in universal network, directly or indirectly, to gain additional profit, and through research and discussion, improve the quality of life and develop a culture.
