Ανάπτυξη λογισμικού οπτικοποίησης γράφων μεγάλης κλίμακας με χρήση παραλληλότητας και αλγορίθμων διάταξης
Large scale graph visualization software using parallelization and distribution algorithms
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Keywords
Rust ; Python ; Graph ; Γράφος ; Γραφήματα ; Αλγόριθμοι διάταξης ; Distribution algorithms ; Parallelization ; OpenGL ; Visualization ; Οπτικοποίηση ; Δεδομένα ; Databases ; Social networks ; RPCAbstract
Data is getting constantly larger and more chaotic in such a way that older, more traditional
forms of storage and representation render it more difficult to understand and process it. A lot
of modern systems have been in the scope of use such as NOSQL and Graph Databases.
Graph databases are the best form of representing logical connections also known as network
graphs. This unfolds a vast field of uses and new algorithms. The point of this project is to
inspect graph manipulation and representation from a low level of programming and try new
forms of storage as well as modern programming languages and their cooperation between
each other by developing a software that imports raw data and previews them using a couple
of distribution algorithms and simple but fast graphics.
Postgraduate Studies Programme
ΠληροφορικήDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
35Language
GreekDescription
Source Codes: https://github.com/moreorem/graphdener-backend , https://github.com/moreorem/graphdener.Collections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού 4.0 Διεθνές
Αναφορά Δημιουργού 4.0 Διεθνές