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 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.

Design of https://didillinois.win

Design of a static site with GNU Makefiles and pandoc

SuiteSparse Collection Downloader

One of the resources I use to evaluate sparse-matrix vector multiplication (SpMV) performance at Sandia National Labs is the SuiteSparse Collection.

Interesting Links from November

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