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Rounding Error Analysis of Mixed Precision Block Householder QR Algorithms by Yang, L. Minah; Fox, Alyson; Sanders, Geoffrey is a scholarly article available to read on EtoBox.

What is Rounding Error Analysis of Mixed Precision Block Householder QR Algorithms about?

Although mixed precision arithmetic has recently garnered interest for training dense neural networks, many other applications could benefit from the speed-ups and lower storage cost if applied appropriately. The growing interest in employing mixed precision computations motivates the need for rounding error analysis that properly handles behavior from mixed precision arithmetic. We develop mixed precision variants of existing Householder QR algorithms and show error analyses supported by numerical experiments.

Author

Yang, L. Minah; Fox, Alyson; Sanders, Geoffrey

Published

2019

Language

EN