Drew Penney

Orcid: 0000-0002-3568-0515

According to our database1, Drew Penney authored at least 9 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
RAPID: Enabling fast online policy learning in dynamic public cloud environments.
Neurocomputing, November, 2023

PROMPT: Learning dynamic resource allocation policies for network applications.
Future Gener. Comput. Syst., August, 2023

Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation.
Proceedings of the International Conference on Machine Learning, 2023

2022
PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications.
CoRR, 2022

2020
AI for Computer Architecture: Principles, Practice, and Prospects
Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01770-4, 2020

A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2019
A Survey of Machine Learning Applied to Computer Architecture Design.
CoRR, 2019

Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework.
CoRR, 2019

Characterizing On-Chip Traffic Patterns in General-Purpose GPUs: A Deep Learning Approach.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019


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