Nayiri Krzystofowicz

Bio/CV: 

Fast and Transferrable RTL Power Estimation

Developing a model to estimate power for RTL designs that can accurately be transferred to both new
workloads and similar RTL. Also performing energy characterization of various designs, and investigating
power virus generation.

Research interests: 

Expected Graduation Date:

May, 2026

Role: 

Publications

Felicia Guo; Nayiri Krzystofowicz; Yufeng Chi; Aviral Pandey; Ali Niknejad; Borivoje Nikolić
Journal Article, 2023
Felicia Guo; Nayiri Krzystofowicz; Alex Moreno; Jeffrey Ni; Daniel Lovell; Yufeng Chi; Kareem Ahmad; Sherwin Afshar; Josh Alexander; Dylan Brater; Cheng Cao; Daniel Fan; Ryan Lund; Jackson Paddock; Griffin Prechter; Troy Sheldon; Shreesha Sreedhara; Anson Tsai; Eric Wu; Kerry Yu; Daniel Fritchman; Aviral Pandley; Ali Niknejad; Kristofer Pister; Borivoje Nikolić
Conference Paper, 2023