License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.12.3.1
URN: urn:nbn:de:0030-drops-172674
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17267/
Go back to Dagstuhl Reports

Bientinesi, Paolo ; Ham, David ; Huang, Furong ; Kelly, Paul H. J. ; Sadayappan, P. (Saday) ; Stow, Edward
Weitere Beteiligte (Hrsg. etc.): Paolo Bientinesi and David Ham and Furong Huang and Paul H. J. Kelly and P. (Saday) Sadayappan and Edward Stow

Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101)

pdf-format:
dagrep_v012_i003_p001_22101.pdf (6 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 22101 "Tensor Computations: Applications and Optimization". Tensors are higher dimensional analogs of matrices, and represent a key data abstraction for many applications in computational science and data science. Widely used shared infrastructure exists for linear algebra, while, in contrast, for tensor computations, there is no consensus on standard building blocks. This Dagstuhl Seminar aimed to bring together users, and performance optimization specialists, to build such foundations.
We present the abstracts of the 5 tutorials and 14 talks given. The working groups and their outcomes so far are then presented.

BibTeX - Entry

@Article{bientinesi_et_al:DagRep.12.3.1,
  author =	{Bientinesi, Paolo and Ham, David and Huang, Furong and Kelly, Paul H. J. and Sadayappan, P. (Saday) and Stow, Edward},
  title =	{{Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101)}},
  pages =	{1--14},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{3},
  editor =	{Bientinesi, Paolo and Ham, David and Huang, Furong and Kelly, Paul H. J. and Sadayappan, P. (Saday) and Stow, Edward},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/17267},
  URN =		{urn:nbn:de:0030-drops-172674},
  doi =		{10.4230/DagRep.12.3.1},
  annote =	{Keywords: Tensor, Optimisation, Linear Algebra, Compilers, Benchmark, Domain Specific Language}
}

Keywords: Tensor, Optimisation, Linear Algebra, Compilers, Benchmark, Domain Specific Language
Collection: DagRep, Volume 12, Issue 3
Issue Date: 2022
Date of publication: 14.11.2022

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI