Distributed systems comprise a network of independent computing nodes that collaborate to achieve shared objectives despite challenges such as network latency, asynchrony and process failures. At the ...

The study of population protocols and distributed algorithms occupies a pivotal position in the ongoing development of computational theory and its practical implementations. Population protocols ...

Abstract: Fault-tolerant distributed algorithms contribute to the reliability and resilience of modern computation due to their fault-tolerant properties. Moreover, the increasing need for computing ...

Abstract: This article proposes distributed algorithms free of Hessian for both time-invariant and time-varying optimization (TVO) problems. To this end, a subsystem is introduced to estimate 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 ...

This tutorial assumes that the cluster is configured to accept single jobs on each Graphical Processing Unit (GPU). Users can submit job arrays, which is the default way to submit jobs for distributed ...

In this video from the PASC16 conference, Andrew Lumsdaine from Indiana University presents: Context Matters: Distributed Graph Algorithms and Runtime Systems. “The increasing complexity of the ...

In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking ...