AI models are rapidly increasing in complexity, demanding more powerful computing resources for effective training and inference. This trend has sparked significant interest in scaling computational ...

Distributed algorithms for graph problems represent a vibrant area of study that addresses the challenges of decentralised computation across interconnected networks. By partitioning complex graph ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

A new study by Botond Szabo (Bocconi Department of Decision Sciences) lays the cornerstone for more accurate, reliable, and interpretable distributed computing methods. In the world of big data, when ...

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 ...