---
_id: '1590'
abstract:
- lang: eng
text: "We present the submatrix method, a highly parallelizable method for the approximate
calculation of inverse p-th roots of large sparse symmetric matrices which are
required in different scientific applications. Following the idea of Approximate
Computing, we allow imprecision in the final result in order to utilize the sparsity
of the input matrix and to allow massively parallel execution. For an n x n matrix,
the proposed algorithm allows to distribute the calculations over n nodes with
only little communication overhead. The result matrix exhibits the same sparsity
pattern as the input matrix, allowing for efficient reuse of allocated data structures.\r\n\r\nWe
evaluate the algorithm with respect to the error that it introduces into calculated
results, as well as its performance and scalability. We demonstrate that the error
is relatively limited for well-conditioned matrices and that results are still
valuable for error-resilient applications like preconditioning even for ill-conditioned
matrices. We discuss the execution time and scaling of the algorithm on a theoretical
level and present a distributed implementation of the algorithm using MPI and
OpenMP. We demonstrate the scalability of this implementation by running it on
a high-performance compute cluster comprised of 1024 CPU cores, showing a speedup
of 665x compared to single-threaded execution."
author:
- first_name: Michael
full_name: Lass, Michael
id: '24135'
last_name: Lass
orcid: 0000-0002-5708-7632
- first_name: Stephan
full_name: Mohr, Stephan
last_name: Mohr
- first_name: Hendrik
full_name: Wiebeler, Hendrik
last_name: Wiebeler
- first_name: Thomas
full_name: Kühne, Thomas
id: '49079'
last_name: Kühne
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
citation:
ama: 'Lass M, Mohr S, Wiebeler H, Kühne T, Plessl C. A Massively Parallel Algorithm
for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices.
In: *Proc. Platform for Advanced Scientific Computing (PASC) Conference*.
New York, NY, USA: ACM; 2018. doi:10.1145/3218176.3218231'
apa: 'Lass, M., Mohr, S., Wiebeler, H., Kühne, T., & Plessl, C. (2018). A Massively
Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large
Sparse Matrices. In *Proc. Platform for Advanced Scientific Computing (PASC)
Conference*. New York, NY, USA: ACM. https://doi.org/10.1145/3218176.3218231'
bibtex: '@inproceedings{Lass_Mohr_Wiebeler_Kühne_Plessl_2018, place={New York, NY,
USA}, title={A Massively Parallel Algorithm for the Approximate Calculation of
Inverse p-th Roots of Large Sparse Matrices}, DOI={10.1145/3218176.3218231},
booktitle={Proc. Platform for Advanced Scientific Computing (PASC) Conference},
publisher={ACM}, author={Lass, Michael and Mohr, Stephan and Wiebeler, Hendrik
and Kühne, Thomas and Plessl, Christian}, year={2018} }'
chicago: 'Lass, Michael, Stephan Mohr, Hendrik Wiebeler, Thomas Kühne, and Christian
Plessl. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse
P-Th Roots of Large Sparse Matrices.” In *Proc. Platform for Advanced Scientific
Computing (PASC) Conference*. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3218176.3218231.'
ieee: M. Lass, S. Mohr, H. Wiebeler, T. Kühne, and C. Plessl, “A Massively Parallel
Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse
Matrices,” in *Proc. Platform for Advanced Scientific Computing (PASC) Conference*,
Basel, Switzerland, 2018.
mla: Lass, Michael, et al. “A Massively Parallel Algorithm for the Approximate Calculation
of Inverse P-Th Roots of Large Sparse Matrices.” *Proc. Platform for Advanced
Scientific Computing (PASC) Conference*, ACM, 2018, doi:10.1145/3218176.3218231.
short: 'M. Lass, S. Mohr, H. Wiebeler, T. Kühne, C. Plessl, in: Proc. Platform for
Advanced Scientific Computing (PASC) Conference, ACM, New York, NY, USA, 2018.'
conference:
end_date: 2018-07-04
location: Basel, Switzerland
name: Platform for Advanced Scientific Computing Conference (PASC)
start_date: 2018-07-02
date_created: 2018-03-22T10:53:01Z
date_updated: 2022-01-06T06:52:40Z
department:
- _id: '27'
- _id: '518'
- _id: '304'
doi: 10.1145/3218176.3218231
external_id:
arxiv:
- '1710.10899'
keyword:
- approximate computing
- linear algebra
- matrix inversion
- matrix p-th roots
- numeric algorithm
- parallel computing
language:
- iso: eng
place: New York, NY, USA
project:
- _id: '32'
grant_number: PL 595/2-1
name: Performance and Efficiency in HPC with Custom Computing
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proc. Platform for Advanced Scientific Computing (PASC) Conference
publication_identifier:
isbn:
- 978-1-4503-5891-0/18/07
publisher: ACM
status: public
title: A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th
Roots of Large Sparse Matrices
type: conference
user_id: '24135'
year: '2018'
...