PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
Some awesome projects go here!
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ISCA '22
"Axiomatic Hardware-Software Contracts for Security". Nicholas Mosier, Hanna Lachnitt, Hamed Nemati, and Caroline Trippel.
In Proceedings of the 49th International Symposium on Computer Architecture (ISCA), June 2022.
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ASPLOS '22
"RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation". Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, and Carole-Jean Wu.
In Proceedings of the 27th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), February-March 2022.
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MICRO '21
"Synthesizing Formal Models of Hardware from RTL for Efficient Verification of Memory Model Implementations".
Yao Hsiao, Dominic P. Mulligan, Nikos Nikoleris, Gustavo Petri, and Caroline Trippel.
In Proceedings of the 54th International Symposium on Microarchitecture (MICRO), October 2021.
FMCAD '21
"Scaling Up Hardware Accelerator Verification using \aqed with Functional Decomposition".
Saranyu Chattopadhyayi, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca Carloni, Deming Chen,
Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark Barrett, and Subhasish Mitra.
In Proceedings of the 2021 Conference on Formal Methods in Computer Aided Design (FMCAD),
October 2021.
PLDI '21
"Porcupine: A Synthesizing Compiler for Vectorized Homomorphic Encryption".
Meghan Cowan, Deeksha Dangwal, Armin Alaghi, Caroline Trippel, Vincent T. Lee, and Brandon Reagen.
In Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI),
June 2021.
ISCA '21
Jose Rodrigo Sanchez Vicarte, Pradyumna Shome, Nandeeka Nayak, Caroline Trippel, Adam Morrison,
David Kohlbrenner, Christopher W. Fletcher. “Opening Pandora’s Box: A Systematic Study of New Ways
Microarchitecture Can Leak Private Data”. In Proceedings of the 48th ACM/IEEE International Symposium
on Computer Architecture (ISCA), June 2021.
ASPLOS '21
"RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference Extended Abstract".
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, and Gu-Yeon Wei.
In Proceedings of the 26th International Conference on Architectural Support for
Programming Languages and Operating Systems (ASPLOS), April 2021.
MLSys '21
"Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery".
Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia, and Carole-Jean Wu.
In Proceedings of the 3rd Conference on Machine Learning and Systems (MLSys), April 2021.
We are looking for motivated graduate and undergraduate researchers. If you are interested in joining the lab, please send an email to trippel @ stanford . edu with your resume and CV.