Bio
My name is Logan Weber, and I'm a PhD student at MIT, working with Saman Amarasinghe and Michael Carbin. My research interests are at the intersection of programming languages, machine learning, and systems.
Previously, I was a BS/MS student in the CS department at UW, where I worked in the PLSE and SAMPL groups. I was extremely lucky to be mentored by Jared Roesch and Tianqi Chen and to have Zachary Tatlock as an advisor.
Research Projects
Look here for more detailed descriptions.- µTVM, a compiler approach to ML on microcontrollers using the power of TVM.
- Relay, a functional and differentiable intermediate representation for ML.
- RelayBench, a framework for performing scalable and reproducible machine learning experiments in a language-agnostic fashion.
Publications
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 (MAPL 2018).
Arxiv Preprints
Relay: A High-Level Compiler for Deep Learning
Jared Roesch,
Steven Lyubomirsky,
Marisa Kirisame,
Logan Weber,
Josh Pollock,
Luis Vega,
Ziheng Jiang,
Tianqi Chen,
Thierry Moreau,
Zachary Tatlock
Miscellaneous Writing
Fast(ish) Algorithms for Integer Programming
Logan Weber,
Josh Pollock
MIT 6.854 (Advanced Algorithms) Final Project
TinyML - How TVM is Taming Tiny
Logan Weber,
Andrew Reusch
Post on
TVM,
OctoML,
and Arm
blogs
Presentation
µTVM: TVM on Bare-Metal Devices
Logan Weber
Lightning Talk at TVM Conference 2019
µTVM: Deep Learning on Bare-Metal Devices
Logan Weber
Poster Presentation at ARM Research Summit 2019
µTVM: Deep Learning on the Low-Power Edge
Logan Weber,
Pratyush Patel
Talk at TVM For Fun and Profit Tutorial (FCRC 2019)
Relay: An Extensible Intermediate Language for Deep Learning
Logan Weber,
Josh Pollock,
Marisa Kirisame
Poster Presentation at Paul G. Allen School of Computer Science Research Poster Fair