Zack Hassman

Zachary A. Hassman

Google Scholar | GitHub | LinkedIn | CV

About

I am an undergraduate at the University of Chicago studying mathematics, statistics, and computer science. Right now, I'm working with Fred Chong to use classical simulation to boost the performance of chemistry calculations performed on quantum computers. Before this, I studied hardware-efficient machine learning with Yanjing Li.

Publications

• SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions
  Cyrus Zhou, Pedro Savarese, Vaughn Richard, Zack Hassman, Xin Yuan, Michael Maire, Michael DiBrino, Yanjing Li
  arXiv preprint
  [paper]

• YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs
  Cyrus Zhou, Zack Hassman, Dhirpal Shah, Vaughn Richard, Yanjing Li
  CC 2024
  [paper]

Contact

Email: zhassman [at] uchicago [dot] edu