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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.
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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.
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He works on GPU communication for distributed linear algebra, and GPU acceleration of sparse matrix multiplication.
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He works on future architectures for scientific computing, GPU communication for distributed linear algebra, and GPU acceleration of irregular operations.
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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.
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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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