Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2608628.2608664acmotherconferencesArticle/Chapter ViewAbstractPublication PagesissacConference Proceedingsconference-collections
research-article

Powers of tensors and fast matrix multiplication

Published: 23 July 2014 Publication History

Abstract

This paper presents a method to analyze the powers of a given trilinear form (a special kind of algebraic construction also called a tensor) and obtain upper bounds on the asymptotic complexity of matrix multiplication. Compared with existing approaches, this method is based on convex optimization, and thus has polynomial-time complexity. As an application, we use this method to study powers of the construction given by Coppersmith and Winograd [Journal of Symbolic Computation, 1990] and obtain the upper bound ω < 2.3728639 on the exponent of square matrix multiplication, which slightly improves the best known upper bound.

References

[1]
N. Alon, A. Shpilka, and C. Umans. On sunflowers and matrix multiplication. Computational Complexity, 22(2):219--243, 2013.
[2]
A. Ben-Tal and A. Nemirovski. Lectures on Modern Convex Optimization. SIAM, 2001.
[3]
M. Bläser. Fast Matrix Multiplication. Number 5 in Graduate Surveys. Theory of Computing Library, 2013.
[4]
S. Boyd and L. Vandenberghe. Convex optimization. Cambridge University Press, 2004.
[5]
P. Bürgisser, M. Clausen, and M. A. Shokrollahi. Algebraic complexity theory. Springer, 1997.
[6]
H. Cohn, R. D. Kleinberg, B. Szegedy, and C. Umans. Group-theoretic algorithms for matrix multiplication. In Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science, pages 379--388, 2005.
[7]
H. Cohn and C. Umans. Fast matrix multiplication using coherent configurations. In Proceedings of the 24th Annual ACM-SIAM Symposium on Discrete Algorithms, pages 1074--1087, 2013.
[8]
D. Coppersmith and S. Winograd. Matrix multiplication via arithmetic progressions. Journal of Symbolic Computation, 9(3):251--280, 1990.
[9]
A. M. Davie and A. J. Stothers. Improved bound for complexity of matrix multiplication. Proceedings of the Royal Society of Edinburgh, 143A:351--370, 2013.
[10]
S.-C. Fang and J. H.-S. Tsao. Entropy optimization: interior point methods. In Encyclopedia of Optimization, pages 544--548. Springer, 2001.
[11]
Y. Filmus. Matrix multiplication I and II, 2014. Lecture notes available at http://www.cs.toronto.edu/~yuvalf/.
[12]
F. Le Gall. Faster algorithms for rectangular matrix multiplication. In Proceedings of the 53rd Annual IEEE Symposium on Foundations of Computer Science, pages 514--523, 2012.
[13]
A. Schönhage. Partial and total matrix multiplication. SIAM Journal on Computing, 10(3):434--455, 1981.
[14]
A. Stothers. On the Complexity of Matrix Multiplication. PhD thesis, University of Edinburgh, 2010.
[15]
V. Strassen. Gaussian elimination is not optimal. Numerische Mathematik, 13:354--356, 1969.
[16]
V. Strassen. The asymptotic spectrum of tensors and the exponent of matrix multiplication. In Proceedings of the 27th Annual IEEE Symposium on Foundations of Computer Science, pages 49--54, 1986.
[17]
V. Vassilevska Williams. Multiplying matrices faster than Coppersmith-Winograd. In Proceedings of the 44th ACM Symposium on Theory of Computing, pages 887--898, 2012. Most recent version available at the author's homepage.

Cited By

View all
  • (2024)A Globally Convergent Iterative Method for Matrix Sign Function and Its Application for Determining the Eigenvalues of a Matrix PencilSymmetry10.3390/sym1604048116:4(481)Online publication date: 16-Apr-2024
  • (2024)Conjunctive Queries with Negation and Aggregation: A Linear Time CharacterizationProceedings of the ACM on Management of Data10.1145/36511382:2(1-19)Online publication date: 14-May-2024
  • (2024)Nearly Optimal Fault Tolerant Distance OracleProceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649697(944-955)Online publication date: 10-Jun-2024
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
ISSAC '14: Proceedings of the 39th International Symposium on Symbolic and Algebraic Computation
July 2014
444 pages
ISBN:9781450325011
DOI:10.1145/2608628
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2014

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. algebraic complexity theory
  2. matrix multiplication

Qualifiers

  • Research-article

Funding Sources

Conference

ISSAC '14

Acceptance Rates

ISSAC '14 Paper Acceptance Rate 51 of 96 submissions, 53%;
Overall Acceptance Rate 395 of 838 submissions, 47%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)96
  • Downloads (Last 6 weeks)16
Reflects downloads up to 12 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)A Globally Convergent Iterative Method for Matrix Sign Function and Its Application for Determining the Eigenvalues of a Matrix PencilSymmetry10.3390/sym1604048116:4(481)Online publication date: 16-Apr-2024
  • (2024)Conjunctive Queries with Negation and Aggregation: A Linear Time CharacterizationProceedings of the ACM on Management of Data10.1145/36511382:2(1-19)Online publication date: 14-May-2024
  • (2024)Nearly Optimal Fault Tolerant Distance OracleProceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649697(944-955)Online publication date: 10-Jun-2024
  • (2024)The Asymptotic Rank Conjecture and the Set Cover Conjecture Are Not Both TrueProceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649656(859-870)Online publication date: 10-Jun-2024
  • (2024)An Iterative Method for the Distance Constraints in a Multi-Sensor Positioning SystemIEEE Transactions on Vehicular Technology10.1109/TVT.2023.331963673:2(2728-2739)Online publication date: Feb-2024
  • (2024)Fully Connected Networks on a Diet With the Mediterranean Matrix MultiplicationIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2022.317619735:1(634-647)Online publication date: Jan-2024
  • (2024)Impossible Differential Cryptanalysis and a Security Evaluation Framework for AND-RX CiphersIEEE Transactions on Information Theory10.1109/TIT.2023.329224170:8(6025-6040)Online publication date: Aug-2024
  • (2024)How to Securely and Efficiently Solve the Large-Scale Modular System of Linear Equations on the CloudIEEE Transactions on Cloud Computing10.1109/TCC.2024.340824012:3(913-927)Online publication date: Jul-2024
  • (2024)Alternative Basis Matrix Multiplication is Fast and Stable2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS57955.2024.00013(38-51)Online publication date: 27-May-2024
  • (2024)Revisiting “Rapid multiplication of rectangular matrices”Research in Mathematics10.1080/27684830.2024.238833411:1Online publication date: 19-Aug-2024
  • Show More Cited By

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media