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.
I’m not much of a Twitter afficionado, which is probably why I prefer to use the following search string:
Here are some interesting things I read this month. Presented without comment or endorsement.
Here are some interesting things I read this month. Presented without comment or endorsement.
Roll your own integer linear programming (ILP) solver using Scipy.
Here are some interesting things I read this month. Presented without comment or endorsement.
C++ is hard; make it a bit easier.
Here are some interesting things I read this month. Presented without comment or endorsement.
Here are some interesting things I read this month. Presented without comment or endorsement.
Here are some interesting things I read this month. Presented without comment or endorsement.
Design of a static site with GNU Makefiles and pandoc