Andrew Rittenbach

According to our database, Andrew Rittenbach authored at least 4 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network.

Connor Imes, Andrew Rittenbach, Peng Xie, Dong-In Kang, John Paul Walters, Stephen P. Crago

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP.

Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

2020

RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation.

Andrew Rittenbach, John Paul Walters

CoRR, 2020

2018

Pacer: Automated Feedback-Based Vertical Elasticity for Heterogeneous Soft Real-Time Workloads.

Yu-An Chen, Geoffrey Phi C. Tran, Andrew Rittenbach, John Paul Walters, Stephen P. Crago

Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018