Steven Lyubomirsky

According to our database, Steven Lyubomirsky authored at least 10 papers between 2017 and 2025.

Collaborative distances:

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

2025

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

Ruihang Lai, Junru Shao, Siyuan Feng, Steven Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared Roesch, Todd C. Mowry, Tianqi Chen

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Application-level Validation of Accelerator Designs Using a Formal Software/Hardware Interface.

Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Gus Henry Smith, Thierry Tambe, Akash Gaonkar, Vishal Canumalla, Andrew Cheung, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik

ACM Trans. Design Autom. Electr. Syst., March, 2024

FPGA Technology Mapping Using Sketch-Guided Program Synthesis.

Gus Henry Smith, Benjamin Kushigian, Vishal Canumalla, Andrew Cheung, Steven Lyubomirsky, Sorawee Porncharoenwase, René Just, Gilbert Louis Bernstein, Zachary Tatlock

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2022

Compiler and Runtime Techniques for Optimizing Deep Learning Applications

Steven Lyubomirsky

PhD thesis, 2022

Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface.

Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Thierry Tambe, Gus Henry Smith, Akash Gaonkar, Vishal Canumalla, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik

CoRR, 2022

2021

Pure tensor program rewriting via access patterns (representation pearl).

Gus Henry Smith, Andrew Liu, Steven Lyubomirsky, Scott Davidson, Joseph McMahan, Michael B. Taylor, Luis Ceze, Zachary Tatlock

Proceedings of the MAPS@PLDI 2021: Proceedings of the 5th ACM SIGPLAN International Symposium on Machine Programming, 2021

Dynamic Tensor Rematerialization.

Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Relay: A High-Level IR for Deep Learning.

Jared Roesch, Steven Lyubomirsky, Marisa Kirisame, Josh Pollock, Logan Weber, Ziheng Jiang, Tianqi Chen, Thierry Moreau, Zachary Tatlock

CoRR, 2019

2018

Relay: a new IR for machine learning frameworks.

Jared Roesch, Steven Lyubomirsky, Logan Weber, Josh Pollock, Marisa Kirisame, Tianqi Chen, Zachary Tatlock

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

2017

SpaceSearch: a library for building and verifying solver-aided tools.

Konstantin Weitz, Steven Lyubomirsky, Stefan Heule, Emina Torlak, Michael D. Ernst, Zachary Tatlock

Proc. ACM Program. Lang., 2017