Work-Efficient Parallel Algorithms for Accurate Floating-Point Prefix Sums

© 2020 IEEE. Existing work-efficient parallel algorithms for floating-point prefix sums exhibit either good performance or good numerical accuracy, but not both. Consequently, prefix-sum algorithms cannot easily be used in scientific-computing applications that require both high performance and accu...

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Bibliographic Details
Main Authors: Fraser, Sean, Xu, Helen, Leiserson, Charles E
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
Online Access:https://hdl.handle.net/1721.1/143740