Carl Pearson is a Postdoctoral Appointee at Sandia National Labs and a Research Assistant Professor (LAT) of Computer Science at University of New Mexico. He works on GPU communication for distributed linear algebra, and GPU acceleration of sparse matrix multiplication.

He recieved his Ph.D in Electrical and Computer Engineering from the University of Illinois in 2021, and his B.S. in Engineering from Harvey Mudd College.


GTC 2017

I’ve made my first trip to NVIDIA’s GPU Technology Conference this year, to present some work with my collaborators Abdul Dakkak and Cheng Li. I’ve wanted to attend GTC ever since my first year in the IMPACT group, so this is an exciting trip for me!