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Carl Pearson is a Postdoctoral Appointee at Sandia National Labs and a Research Assistant Professor of Computer Science at University of New Mexico.
He works on GPU communication for distributed linear algebra, and acceleration of sparse matrix multiplication.
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.