3 papers
cs.DC2024
Towards Reconfigurable Linearizable Reads
Myles Thiessen, Aleksey Panas, Guy Khazma +1
Linearizable datastores are desirable because they provide users with the illusion that the datastore is run on a single machine that performs client operations one at a time. To r…
cs.LG2022
Optimizing Data Collection in Deep Reinforcement Learning
James Gleeson, Daniel Snider, Yvonne Yang +3
Reinforcement learning (RL) workloads take a notoriously long time to train due to the large number of samples collected at run-time from simulators. Unfortunately, cluster scale-u…
astro-ph.SR2014
PMS and ZAMS stars associated with the dark cloud LDN 1655
Carlos Chavarria-K, Marco A. Moreno-Corral, Estela de Lara +1
We give results of a low-resolution optical spectroscopic study of the bright nebulous stars conforming the tight stellar trapezium embedded in IRAS06548-0815, of the exciting star…