E-LIB Suche - Ergebnisse für: Barthels, Henrik

1

The Linear Algebra Mapping Problem. Current State of Linear..:

Psarras, Christos ; Barthels, Henrik ; Bientinesi, Paolo
ACM Transactions on Mathematical Software. 48 (2022) 3 - p. 1-30 , 2022

Link: https://doi.org/10.1145/..

2

Linnea : Automatic Generation of Efficient Linear Algebr..:

Barthels, Henrik ; Psarras, Christos ; Bientinesi, Paolo
ACM Transactions on Mathematical Software (TOMS). 47 (2021) 3 - p. 1-26 , 2021

Link: https://dl.acm.org/doi/1..

3

Linnea: Automatic Generation of Efficient Linear Algebra Pr..:

Barthels, Henrik ; Psarras, Christos ; Bientinesi, Paolo
ACM Transactions on Mathematical Software. 47 (2021) 3 - p. 1-26 , 2021

Link: https://doi.org/10.1145/..

4

Fireiron : A Data-Movement-Aware Scheduling Language for..:

, In: Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques,

Hagedorn, Bastian ; Elliott, Archibald Samuel ; Barthels, Henrik.. - p. 71-82 , 2020

Link: https://dl.acm.org/doi/1..

5

Automatic Generation of Efficient Linear Algebra Programs:

, In: Proceedings of the Platform for Advanced Scientific Computing Conference,

Barthels, Henrik ; Psarras, Christos ; Bientinesi, Paolo - p. 1-11 , 2020

Link: https://dl.acm.org/doi/1..

6

Swizzle Inventor : Data Movement Synthesis for GPU Kerne..:

, In: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems,

Phothilimthana, Phitchaya Mangpo ; Elliott, Archibald Samuel ; Wang, An... - p. 65-78 , 2019

Link: https://dl.acm.org/doi/1..

7

The generalized matrix chain algorithm:

, In: Proceedings of the 2018 International Symposium on Code Generation and Optimization,

Barthels, Henrik ; Copik, Marcin ; Bientinesi, Paolo - p. 138-148 , 2018

Link: https://dl.acm.org/doi/1..

8

MatchPy: Pattern Matching in Python:

Krebber, Manuel ; Barthels, Henrik
Journal of Open Source Software. 3 (2018) 26 - p. 670 , 2018

Link: https://doi.org/10.21105..

9

Linnea : Compiling Linear Algebra Expressions to High-Pe..:

, In: Proceedings of the International Workshop on Parallel Symbolic Computation,

Barthels, Henrik ; Bientinesi, Paolo - p. 1-3 , 2017

Link: https://dl.acm.org/doi/1..

10

Efficient Pattern Matching in Python:

, In: Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing,

Krebber, Manuel ; Barthels, Henrik ; Bientinesi, Paolo - p. 1-9 , 2017

Link: https://dl.acm.org/doi/1..

11

A compiler for linear algebra operations:

, In: Companion Proceedings of the 2016 ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity,

Barthels, Henrik - p. 49-50 , 2016

Link: https://dl.acm.org/doi/1..

12

MOM: Matrix Operations in MLIR:

Chelini, Lorenzo ; Barthels, Henrik ; Bientinesi, Paolo...
http://arxiv.org/abs/2208.10391. , 2022

Link: http://arxiv.org/abs/220..

13

Linnea: a compiler for mapping linear algebra problems onto..:

Barthels, Henrik
info:eu-repo/semantics/altIdentifier/doi/10.18154/RWTH-2023-01193. , 2022

Link: https://publications.rwt..

14

Fireiron: A Scheduling Language for High-Performance Linear..:

Hagedorn, Bastian ; Elliott, Archibald Samuel ; Barthels, Henrik..
http://arxiv.org/abs/2003.06324. , 2020

Link: http://arxiv.org/abs/200..

15

The Linear Algebra Mapping Problem. Current state of linear..:

Psarras, Christos ; Barthels, Henrik ; Bientinesi, Paolo
http://arxiv.org/abs/1911.09421. , 2019

Link: http://arxiv.org/abs/191..