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About Me

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I am a third year Computer Science Ph.D. student at Stanford University advised by Alex Aiken. I received my bachelor’s degree in Computing from the College of Creative Studies at UC Santa Barbara, where I worked with Giovanni Vigna and Christopher Kruegel on binary analysis and decompilation as a member of the Seclab. I am grateful to be supported by an NSF Graduate Research Fellowship.

Contact Info

I’m always happy to talk about research, teaching, or anything else! You can email me at unger@stanford.edu.

Research

I’m broadly interested in compilers, program analysis, and optimization, especially in emerging applications such as machine learning. My current research focuses on hardware-aware optimization of deep learning workloads. Recently I have worked on accelerating distributed deep neural network training.

Teaching

During my final year at UCSB I had the opportunity to develop and lead two quarters of CMPSC 595G, a graduate seminar affectionately referred to as “hack meetings” by its students. Links to the archived class webpages are below:

Note: Currently the class assignments/challenges are down. I will get them running again at some point, but if you want to access them before this point please email me directly.

Recent: 2 of the top 10 2020 CSAW North America CTF finalist teams included students who were in these classes. I certainly can’t claim any credit for their success, but congratulations to Nathan Wachholz, Chaofan Shou, and Qi Su!

Publications

  1. C. Unger, Z. Jia, W. Wu, S. Lin, M. Baines, C. E. Q. Narvaez, V. Ramakrishnaiah, N. Prajapati, P. McCormick, J. Mohd-Yusof, X. Luo, D. Mudigere, J. Park, M. Smelyanskiy, and A. Aiken. Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization. USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2022. pdf, slides, extended slides
  2. C. Spensky, A. Machiry, N. Redini, C. Unger, G. Foster, E. Blasband, H. Okhravi, C. Kruegel, G. Vigna. Conware: Automated Modeling of Hardware Peripherals. Asia CCS 2021: ACM ASIA Conference on Computer and Communications Security.
  3. E. Gamage, J. Greenfield, C. Unger, S. Kamali, J. Clark, C. Harmer, L. Luo, J. Wang, M. Shatruk, K. Kovnir. Tuning Fe-Se Tetrahedral Frameworks by Combination of [Fe(en)3]2+ Cations and Cl- Anions. Inorganic Chemistry. 59(18): 13353-13363, 2020.
  4. J. Greenfield, C. Unger, M. Chen, N. Izquierdo, K. Woo, O. Garlea, S. Kamali, K. Kovnir. A series of chiral, polar, homospin topological ferrimagnets: M3(OOCH)5Cl(OH2) (M = Fe, Co, Ni). Chemistry of Materials. 29(18): 7716-7724, 2017.

Past/Current Projects

Affiliations

Other

Ghidra Decompiler C++ Docs