19 citations · 24 across the 4 of their papers we have counts for
3 papers · 1 filter
A Fault Tolerance Mechanism for Hybrid Scientific Workflows
Alberto Mulone, Doriana Medić, Marco Aldinucci
In large distributed systems, failures are a daily event occurring frequently, especially with growing numbers of computation tasks and locations on which they are deployed. The ad…
Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows
Iacopo Colonnelli, Doriana Medić, Alberto Mulone +3
In the ever-evolving landscape of scientific computing, properly supporting the modularity and complexity of modern scientific applications requires new approaches to workflow exec…
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
Gianluca Mittone, Nicolò Tonci, Robert Birke +10
Decentralised Machine Learning (DML) enables collaborative machine learning without centralised input data. Federated Learning (FL) and Edge Inference are examples of DML. While to…