Research published in the European Journal of AI, Computing & Informatics establishes generative AI methodologies for automated defect ...

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

When it comes to parallel file systems, few people understand the evolution of challenges better than Sven Oehme, who was part of the original team at IBM building GPFS. Following almost a quarter ...

Our research area includes the groups "Embedded Systems (EmbSys)", "Parallel and Distributed Systems (PVS)", and "Computer Networks and Network Security (NetSec)". We focus on enhancing the safety, ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Distributed applications enable heterogeneous environments with different systems and architectures. The advantages are platform independence, availability and scalability. The article shows the ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...

Vishesh Narendra Pamadi is a passionate system software expert with an impressive academic background and a portfolio of diverse, impactful projects that showcase his excellence in distributed ...