Carl Pearson is an LTE in the Scalable Algorithms group at Sandia National Labs and a Research Assistant Professor (LAT) of Computer Science at University of New Mexico. He works on future architectures for scientific computing, GPU communication for distributed linear algebra, and GPU acceleration of irregular operations.

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


PUMPS 2017

I’m helping teach the Programming and tUning Massively Parallel Systems (PUMPS) hosted by the Barcelona Supercomputing Center at UPC Barcelona, Spain!

CEM 2017

I’m attending CEM 17 hosted at UPC Barcelona, Spain!

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!