3 papers
cs.DC2023
Experiences Readying Applications for Exascale
Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov +29
The advent of exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers. This work details obse…
cs.LG2019
Probabilistic Forecasting using Deep Generative Models
Alessandro Fanfarillo, Behrooz Roozitalab, Weiming Hu +1
The Analog Ensemble (AnEn) method tries to estimate the probability distribution of the future state of the atmosphere with a set of past observations that correspond to the best a…
cs.LG2019
AITuning: Machine Learning-based Tuning Tool for Run-Time Communication Libraries
Alessandro Fanfarillo, Davide Del Vento
In this work, we address the problem of tuning communication libraries by using a deep reinforcement learning approach. Reinforcement learning is a machine learning technique incre…