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Carl Pearson
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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.
Carl Pearson is a 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 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.
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.
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