Practicum Experience(s)
Lawrence Berkeley National Laboratory (2025)
Summary of Research
My research interests mainly lie in operating system and compiler support for parallel computing. I'm also interested in parallel programming models that can effectively utilize heterogeneous hardware.
Annual Program Review Abstracts
Publications
K. Nagaitsev, L. Grbcic, S. Williams, C. Iancu (2026). "Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems," in Proceedings of Machine Learning and Systems (MLSys 2026).
Z. Li, R. Chard, Y. Babuji, B. Galewsky, T. Skluzacek, K. Nagaitsev, A. Woodard, B. Blaiszik, J. Bryan, D. S. Katz, I. Foster, K. Chard (2022). "funcX: Federated Function as a Service for Science," IEEE Transactions on Parallel and Distributed Systems.
L. Grbcic, K. Nagaitsev, S. Williams, C. Iancu. "GridTuner: Cost-Efficient LLM-Guided Autotuning for Multi-Node HPC under Tight Evaluation Budgets," under review at PPoPP 2027.
K. Nagaitsev, K. McAfee, K. Hayes, J. Dong, N. Dhiantravan, P. Dinda (2025). "Eliminating Hardware Interrupts with Dispersed Interrupt Polling," Northwestern University Computer Science Department Technical Report.
K. Nagaitsev, G. Dube, K. Hallsby, P. Liu, Q. Jiang, L. Myers, D. Krasowska, A. Butler, R. Xu, P. Dinda (2025). "Village: From High Level Parallelism to High Performance," Northwestern University Computer Science Department Technical Report.
Awards
- University of Chicago: Graduated magna cum laude (June 2022)
- University of Chicago Dean's List 2021-22
- University of Chicago Dean's List 2018-19