Jack Kosaian [LinkedIn] I began working at NVIDIA on CUTLASS in October of 2022. I completed a Ph.D. in the Computer Science Department at Carnegie Mellon University, where I was fortunate to work with Rashmi Vinayak as part of the Parallel Data Lab. My thesis research investigated the interplay between computer systems, machine learning, and coding-theoretic tools. Prior to graduate school, I was an undergraduate at the University of Michigan, where I worked with Mosharaf Chowdhury.

Conference Publications

• Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
  Tianyu Zhang, Kaige Liu, Jack Kosaian, Juncheng Yang, K. V. Rashmi
  International Conference on Very Large Data Base (VLDB), 2023
  [code]


• Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs
  Jack Kosaian, K. V. Rashmi
  International Conference on High Performance Computing, Networking, Storage and Analysis (SC), 2021
  [code] [slides]


• Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
  Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, K. V. Rashmi
  International Conference on Machine Learning (ICML), 2021
  [code]


• Parity Models: Erasure-Coded Resilience for Prediction Serving Systems
  Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
  ACM Symposium on Operating Systems Principles (SOSP), 2019
  [code] [slides] [video]


• Vantage: Optimizing Video Upload for Time-shifted Viewing of Social Live Streams
  Devdeep Ray, Jack Kosaian, K. V. Rashmi, Srinivasan Seshan
  ACM SIGCOMM 2019


• EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding
  K. V. Rashmi, Mosharaf Chowdhury, Jack Kosaian, Ion Stoica, Kannan Ramchandran
  USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2016

Journal Publications

• Learning-Based Coded Computation
  Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
  IEEE Journal on Selected Areas in Information Theory, 2020
  [code] [blog]

Teaching

I have been fortunate to be a teaching assistant for the following courses:

• 15-712: Advanced Operating Systems and Distributed Systems (Spring 2021)
• 15-440: Distributed Systems (Spring 2020)
• EECS 370: Introduction to Computer Organization (Fall 2015, Winter 2016)