3 citations · 3 across the 2 of their papers we have counts for
4 papers
MCCL: Measurement-based Collective Communication Library
Michele Ferrero, Gabriele Castellano, Paolo Medagliani +3
Collective communication is a critical performance bottleneck in large-scale distributed training. Existing libraries and synthesis frameworks compute open-loop schedules once, ass…
Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching
Alessandro Finamore, James Roberts, Massimo Gallo +1
While Deep Learning (DL) technologies are a promising tool to solve networking problems that map to classification tasks, their computational complexity is still too high with resp…
FENXI: Deep-learning Traffic Analytics at the Edge
Massimo Gallo, Alessandro Finamore, Gwendal Simon +1
Live traffic analysis at the first aggregation point in the ISP network enables the implementation of complex traffic engineering policies but is limited by the scarce processing c…
Performance Evaluation of the Random Replacement Policy for Networks of Caches
Massimo Gallo, Bruno Kauffmann, Luca Muscariello +2
The overall performance of content distribution networks as well as recently proposed information-centric networks rely on both memory and bandwidth capacities. In this framework,…