78 citations · 121 across the 12 of their papers we have counts for
4 papers · 1 filter
Launchpad: Learning to Schedule Using Offline and Online RL Methods
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw +1
Deep reinforcement learning algorithms have succeeded in several challenging domains. Classic Online RL job schedulers can learn efficient scheduling strategies but often takes tho…
RARE: Renewable Energy Aware Resource Management in Datacenters
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw +1
The exponential growth in demand for digital services drives massive datacenter energy consumption and negative environmental impacts. Promoting sustainable solutions to pressing e…
Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering
Manal Almaeen, Jake Grigsby, Joshua Hoskins +4
We develop a framework to establish benchmarks for machine learning and deep neural networks analyses of exclusive scattering cross sections (FemtoNet). Within this framework we pr…
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Keqian Li, Yifan Hu, Logan Palanisamy +6
Accurate understanding of users in terms of predicative segments play an essential role in the day to day operation of modern internet enterprises. Nevertheless, there are signific…