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.


Interesting Links from July

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Interesting Links from June

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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

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Interesting Links from April

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Implementation of a Integer Linear Programming Solver in Python

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

Interesting Links from March

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My Favorite g++ Flags for a New Project

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

Interesting Links from February

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Interesting Links from January

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