Carl Pearson

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.

Interesting Links from June

Here are some interesting things I read this month. Presented without comment or endorsement.

Making Twitter Tolerable

I’m not much of a Twitter afficionado, which is probably why I prefer to use the following search string:

Interesting Links from May

Here are some interesting things I read this month. Presented without comment or endorsement.

Interesting Links from April

Here are some interesting things I read this month. Presented without comment or endorsement.

Implementation of a Integer Linear Programming Solver in Python

Roll your own integer linear programming (ILP) solver using Scipy.

Interesting Links from March

Here are some interesting things I read this month. Presented without comment or endorsement.

My Favorite g++ Flags for a New Project

C++ is hard; make it a bit easier.

Interesting Links from February

Here are some interesting things I read this month. Presented without comment or endorsement.

Interesting Links from January

Here are some interesting things I read this month. Presented without comment or endorsement.

Interesting Links from December

Here are some interesting things I read this month. Presented without comment or endorsement.