Efficient implementation of interval matrix multiplication

International audience The straightforward implementation of interval matrix product suf- fers from poor efficiency, far from the performances of highly optimized floating-point implementations. In this paper, we show how to reduce the interval matrix multiplication to 9 floating-point matrix produc...

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Main Author: Nguyen, Hong Diep
Other Authors: Computer arithmetic (ARENAIRE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
Format: Conference Object
Language:English
Published: HAL CCSD 2010
Subjects:
Online Access:https://hal.inria.fr/inria-00469472
https://hal.inria.fr/inria-00469472/document
https://hal.inria.fr/inria-00469472/file/NGUYEN_mat_prod.pdf
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spelling ftunivlyon:oai:HAL:inria-00469472v1 2023-05-15T16:47:55+02:00 Efficient implementation of interval matrix multiplication Nguyen, Hong Diep Computer arithmetic (ARENAIRE) Inria Grenoble - Rhône-Alpes Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP) École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS) Reykjavik, Iceland 2010-06-06 https://hal.inria.fr/inria-00469472 https://hal.inria.fr/inria-00469472/document https://hal.inria.fr/inria-00469472/file/NGUYEN_mat_prod.pdf en eng HAL CCSD inria-00469472 https://hal.inria.fr/inria-00469472 https://hal.inria.fr/inria-00469472/document https://hal.inria.fr/inria-00469472/file/NGUYEN_mat_prod.pdf info:eu-repo/semantics/OpenAccess Para 2010: State of the Art in Scientific and Parallel Computing https://hal.inria.fr/inria-00469472 Para 2010: State of the Art in Scientific and Parallel Computing, Jun 2010, Reykjavik, Iceland interval arithmetic interval matrix multiplication efficiency [INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic info:eu-repo/semantics/conferenceObject Conference papers 2010 ftunivlyon 2023-03-22T17:52:13Z International audience The straightforward implementation of interval matrix product suf- fers from poor efficiency, far from the performances of highly optimized floating-point implementations. In this paper, we show how to reduce the interval matrix multiplication to 9 floating-point matrix products - for performance issues - without sacrificing the quality of the result. We show that, compared to the straightforward implementation, the overes- timation factor is at most 1.18. Conference Object Iceland Université de Lyon: HAL
institution Open Polar
collection Université de Lyon: HAL
op_collection_id ftunivlyon
language English
topic interval arithmetic
interval matrix multiplication
efficiency
[INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic
spellingShingle interval arithmetic
interval matrix multiplication
efficiency
[INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic
Nguyen, Hong Diep
Efficient implementation of interval matrix multiplication
topic_facet interval arithmetic
interval matrix multiplication
efficiency
[INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic
description International audience The straightforward implementation of interval matrix product suf- fers from poor efficiency, far from the performances of highly optimized floating-point implementations. In this paper, we show how to reduce the interval matrix multiplication to 9 floating-point matrix products - for performance issues - without sacrificing the quality of the result. We show that, compared to the straightforward implementation, the overes- timation factor is at most 1.18.
author2 Computer arithmetic (ARENAIRE)
Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP)
École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
format Conference Object
author Nguyen, Hong Diep
author_facet Nguyen, Hong Diep
author_sort Nguyen, Hong Diep
title Efficient implementation of interval matrix multiplication
title_short Efficient implementation of interval matrix multiplication
title_full Efficient implementation of interval matrix multiplication
title_fullStr Efficient implementation of interval matrix multiplication
title_full_unstemmed Efficient implementation of interval matrix multiplication
title_sort efficient implementation of interval matrix multiplication
publisher HAL CCSD
publishDate 2010
url https://hal.inria.fr/inria-00469472
https://hal.inria.fr/inria-00469472/document
https://hal.inria.fr/inria-00469472/file/NGUYEN_mat_prod.pdf
op_coverage Reykjavik, Iceland
genre Iceland
genre_facet Iceland
op_source Para 2010: State of the Art in Scientific and Parallel Computing
https://hal.inria.fr/inria-00469472
Para 2010: State of the Art in Scientific and Parallel Computing, Jun 2010, Reykjavik, Iceland
op_relation inria-00469472
https://hal.inria.fr/inria-00469472
https://hal.inria.fr/inria-00469472/document
https://hal.inria.fr/inria-00469472/file/NGUYEN_mat_prod.pdf
op_rights info:eu-repo/semantics/OpenAccess
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