13 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CE2021★ 13 cited
Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling
Sam Partee, Matthew Ellis, Alessandro Rigazzi +4
We demonstrate the first climate-scale, numerical ocean simulations improved through distributed, online inference of Deep Neural Networks (DNN) using SmartSim. SmartSim is a libra…
cs.LG2019
DC-S3GD: Delay-Compensated Stale-Synchronous SGD for Large-Scale Decentralized Neural Network Training
Alessandro Rigazzi
Data parallelism has become the de facto standard for training Deep Neural Network on multiple processing units. In this work we propose DC-S3GD, a decentralized (without Parameter…
cs.NE2019★ 4 cited
Recombination of Artificial Neural Networks
Aaron Vose, Jacob Balma, Alex Heye +5
We propose a genetic algorithm (GA) for hyperparameter optimization of artificial neural networks which includes chromosomal crossover as well as a decoupling of parameters (i.e.,…