research
∙
02/20/2022
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch
Linear algebra operations, which are ubiquitous in machine learning, for...
share
research
∙
12/07/2021
Accelerating jackknife resampling for the Canonical Polyadic Decomposition
The Canonical Polyadic (CP) tensor decomposition is frequently used as a...
research
∙
03/25/2021
The landscape of software for tensor computations
Tensors (also commonly seen as multi-linear operators or as multi-dimens...
research
∙
10/09/2020
Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions
Tensor decompositions, such as CANDECOMP/PARAFAC (CP), are widely used i...
research
∙
12/30/2019
Linnea: Automatic Generation of Efficient Linear Algebra Programs
The translation of linear algebra computations into efficient sequences ...
research
∙
11/21/2019
The Linear Algebra Mapping Problem
We observe a disconnect between the developers and the end users of line...
research
∙
07/05/2019