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06/23/2022
The LBNL Superfacility Project Report
The Superfacility model is designed to leverage HPC for experimental sci...
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01/26/2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications
Reinforcement learning (RL) applications, where an agent can simply lear...
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11/30/2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
Traffic optimization challenges, such as load balancing, flow scheduling...
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10/04/2021
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
We present a new software, HYPPO, that enables the automatic tuning of h...
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03/22/2021
Mining Scientific Workflows for Anomalous Data Transfers
Modern scientific workflows are data-driven and are often executed on di...
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08/28/2020
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks
Wide area networking infrastructures (WANs), particularly science and re...
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02/28/2020
Do optimization methods in deep learning applications matter?
With advances in deep learning, exponential data growth and increasing m...
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12/17/2014
