Brief Announcement: Low-Bandwidth Matrix Multiplication: Faster Algorithms and More General Forms of Sparsity

Author:

Gupta Chetan1ORCID,Korhonen Janne H.2ORCID,Studený Jan3ORCID,Suomela Jukka3ORCID,Vahidi Hossein3ORCID

Affiliation:

1. IIT Roorkee, Roorkee, India

2. Unaffiliated, Helsinki, Finland

3. Aalto University, Espoo, Finland

Funder

Research Council of Finland

Publisher

ACM

Reference11 articles.

1. John Augustine, Mohsen Ghaffari, Robert Gmyr, Kristian Hinnenthal, Christian Scheideler, Fabian Kuhn, and Jason Li. 2019. Distributed Computation in Node-Capacitated Networks. In SPAA 2019.

2. Keren Censor-Hillel, Michal Dory, Janne H. Korhonen, and Dean Leitersdorf. 2021. Fast approximate shortest paths in the congested clique. Distributed Computing (2021).

3. Keren Censor-Hillel, Petteri Kaski, Janne H. Korhonen, Christoph Lenzen, Ami Paz, and Jukka Suomela. 2019. Algebraic methods in the congested clique. Distributed Computing (2019).

4. Keren Censor-Hillel, Dean Leitersdorf, and Elia Turner. 2018. Sparse Matrix Multiplication and Triangle Listing in the Congested Clique Model. In OPODIS 2019.

5. Klaus-Tycho Foerster, Juho Hirvonen, Stefan Schmid, and Jukka Suomela. 2019a. On the Power of Preprocessing in Decentralized Network Optimization. In INFOCOM 2019.

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1. Brief Announcement: Low-Bandwidth Matrix Multiplication: Faster Algorithms and More General Forms of Sparsity;Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures;2024-06-17

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