7 citations · 16 across the 4 of their papers we have counts for
5 papers
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation
Matthew Raffel, Drew Penney, Lizhong Chen
Transformer models using segment-based processing have been an effective architecture for simultaneous speech translation. However, such models create a context mismatch between tr…
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
Drew Penney, Bin Li, Lizhong Chen +6
Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of…
PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications
Drew Penney, Bin Li, Jaroslaw Sydir +5
A growing number of service providers are exploring methods to improve server utilization and reduce power consumption by co-scheduling high-priority latency-critical workloads wit…
A Survey of Machine Learning Applied to Computer Architecture Design
Drew D. Penney, Lizhong Chen
Machine learning has enabled significant benefits in diverse fields, but, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has explored…
Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework
Ting-Ru Lin, Drew Penney, Massoud Pedram +1
Machine learning applied to architecture design presents a promising opportunity with broad applications. Recent deep reinforcement learning (DRL) techniques, in particular, enable…