"Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient ..."

Lukas Gianinazzi et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2402.19364

access: open

type: Informal or Other Publication

metadata version: 2024-03-26

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-19364
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-19364
Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboos, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler:
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. CoRR abs/2402.19364 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.