[hpc-announce] Call for Contributions: Research Topic "High-Performance Tensor Computations in Scientific Computing and Data Science" in Frontiers

Jiajia Li fruitfly1026 at gmail.com
Wed Apr 21 12:53:47 CDT 2021

The journal Frontiers in Applied Mathematics and Statistics has
recently launched a Research Topic (similar to a special issue) on
"High-Performance Tensor Computations in Scientific Computing and Data
Science". The goal is to provide a venue for papers dealing with
tensor computations and theory in a broad scope as a yearly effort.
The need for such a new venue stems from the observation that
researchers working in the sector of Computational Mathematics dealing
with Tensors lack a dedicated specialized journal and tend to publish
their results in journals across many different subjects. As such,
scientific advances on Tensors are scattered among many different
venues in very diverse areas. This Research Topic aims at increasing
the visibility of the work of tensor practitioners and avoid the
effect of "compartimentalization".

Fields of interest include, but are not limited to

- High-performance algorithms and implementations of tensor operations
- Tensor networks in quantum physics, scientific computing and machine learning
- Tensor decompositions and approximations
- Optimization methods in numerical multi-linear algebra
- Emerging topics such as tensor benchmarking and tensor generation
- Tensor libraries and compilers

Important dates:
- Abstract submission: April 30, 2021 (not strict)
- Paper submission: October 1st, 2021
Submitting an abstract is not binding but helps to manage the number
of expected submissions. The reviewing process will start as soon as
the full paper is submitted. You can find more information on the


Don't hesitate to raise any questions to the editors, especially with
regards to the journal fees associated with the gold open access
policy. In fact, Frontiers has a large number of institutional
agreements as well as a fee's support program. Please see
https://www.frontiersin.org/about/publishing-fees for more

For questions and additional information please contact Jiajia Li at
Jiajia.Li at pnnl.gov .

Best regards,
Edoardo Di Napoli (Juelich Supercomputing Centre)
Paolo Bientinesi (Umea University)
Jiajia Li (Pacific Northwest National Laboratory)
André Uschmajew (MPI MiS Leipzig)

More information about the hpc-announce mailing list