25 citations · 75 across the 17 of their papers we have counts for
4 papers · 1 filter
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers
Yujing Ma, Florin Rusu, Kesheng Wu +1
Motivated by extreme multi-label classification applications, we consider training deep learning models over sparse data in multi-GPU servers. The variance in the number of non-zer…
Analyzing scientific data sharing patterns for in-network data caching
Elizabeth Copps, Huiyi Zhang, Alex Sim +6
The volume of data moving through a network increases with new scientific experiments and simulations. Network bandwidth requirements also increase proportionally to deliver data w…
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Jeeyung Kim, Alex Sim, Jinoh Kim +2
Botnet detection is a critical step in stopping the spread of botnets and preventing malicious activities. However, reliable detection is still a challenging task, due to a wide va…
Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data
Ling Jin, C. Anna Spurlock, Sam Borgeson +5
Residential customers have traditionally not been treated as individual entities due to the high volatility in residential consumption patterns as well as a historic focus on aggre…