Christopher Jermaine

Full Professor, Computer Science, Rice University

Joined

June 2019

Names

Emails

****@rice.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Full Professor

Computer Science, Rice University (rice.edu)

2009 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs
Evan Dramko, Anastasios Kyrillidis, Christopher Jermaine, Geoffroy Hautier, Yizhi Zhu
- OpenReview Archive Direct Upload
- Readers: Everyone
DISCO: Dynamic Scheduling for CPU Offload in ML Workloads
Zhimin Ding, Jiawen Yao, Brianna Barrow, Tania Lorido Botran, Christopher Jermaine, Yuxin Tang, Jiehui Li, Xinyu Yao, Sleem Abdelghafar, Daniel Bourgeois
- Submitted to ICLR 2026
- Readers: Everyone
TURNIP: A “Nondeterministic” GPU Runtime with CPU RAM Offload
Zhimin Ding, Jiawen Yao, Brianna Barrow, Tania Lorido Botran, Christopher Jermaine, Yuxin Tang, Jiehui Li, Xinyu Yao, Sleem Mahmoud Abdelghafar, Daniel Bourgeois
- Submitted to ICLR 2025
- Readers: Everyone
Online Cascade Learning for Efficient Inference over Streams
Lunyiu Nie, Zhimin Ding, Erdong Hu, Christopher Jermaine, Swarat Chaudhuri
- ICML 2024 Poster
- Readers: Everyone
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Chen Dun, Mirian Del Carmen Hipolito Garcia, Christopher Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis, Anastasios Kyrillidis
- Published: 12 May 2023, Last Modified: 23 May 2023
- MLSys-RCLWN 2023
- Readers: Everyone
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Chen Dun, Mirian Del Carmen Hipolito Garcia, Christopher Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone

Christopher Jermaine

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs

DISCO: Dynamic Scheduling for CPU Offload in ML Workloads

TURNIP: A “Nondeterministic” GPU Runtime with CPU RAM Offload

Online Cascade Learning for Efficient Inference over Streams

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout

Co-Authors