---
_id: '20'
abstract:
- lang: eng
  text: "Approximate computing has shown to provide new ways to improve performance\r\nand
    power consumption of error-resilient applications. While many of these\r\napplications
    can be found in image processing, data classification or machine\r\nlearning,
    we demonstrate its suitability to a problem from scientific\r\ncomputing. Utilizing
    the self-correcting behavior of iterative algorithms, we\r\nshow that approximate
    computing can be applied to the calculation of inverse\r\nmatrix p-th roots which
    are required in many applications in scientific\r\ncomputing. Results show great
    opportunities to reduce the computational effort\r\nand bandwidth required for
    the execution of the discussed algorithm, especially\r\nwhen targeting special
    accelerator hardware."
author:
- first_name: Michael
  full_name: Lass, Michael
  id: '24135'
  last_name: Lass
  orcid: 0000-0002-5708-7632
- 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, Kühne T, Plessl C. Using Approximate Computing for the Calculation
    of Inverse Matrix p-th Roots. <i>Embedded Systems Letters</i>. 2018;10(2):33-36.
    doi:<a href="https://doi.org/10.1109/LES.2017.2760923">10.1109/LES.2017.2760923</a>
  apa: Lass, M., Kühne, T., &#38; Plessl, C. (2018). Using Approximate Computing for
    the Calculation of Inverse Matrix p-th Roots. <i>Embedded Systems Letters</i>,
    <i>10</i>(2), 33–36. <a href="https://doi.org/10.1109/LES.2017.2760923">https://doi.org/10.1109/LES.2017.2760923</a>
  bibtex: '@article{Lass_Kühne_Plessl_2018, title={Using Approximate Computing for
    the Calculation of Inverse Matrix p-th Roots}, volume={10}, DOI={<a href="https://doi.org/10.1109/LES.2017.2760923">10.1109/LES.2017.2760923</a>},
    number={2}, journal={Embedded Systems Letters}, publisher={IEEE}, author={Lass,
    Michael and Kühne, Thomas and Plessl, Christian}, year={2018}, pages={33–36} }'
  chicago: 'Lass, Michael, Thomas Kühne, and Christian Plessl. “Using Approximate
    Computing for the Calculation of Inverse Matrix P-Th Roots.” <i>Embedded Systems
    Letters</i> 10, no. 2 (2018): 33–36. <a href="https://doi.org/10.1109/LES.2017.2760923">https://doi.org/10.1109/LES.2017.2760923</a>.'
  ieee: M. Lass, T. Kühne, and C. Plessl, “Using Approximate Computing for the Calculation
    of Inverse Matrix p-th Roots,” <i>Embedded Systems Letters</i>, vol. 10, no. 2,
    pp. 33–36, 2018.
  mla: Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse
    Matrix P-Th Roots.” <i>Embedded Systems Letters</i>, vol. 10, no. 2, IEEE, 2018,
    pp. 33–36, doi:<a href="https://doi.org/10.1109/LES.2017.2760923">10.1109/LES.2017.2760923</a>.
  short: M. Lass, T. Kühne, C. Plessl, Embedded Systems Letters 10 (2018) 33–36.
date_created: 2017-07-25T14:41:08Z
date_updated: 2022-01-06T06:54:18Z
department:
- _id: '27'
- _id: '518'
- _id: '304'
doi: 10.1109/LES.2017.2760923
external_id:
  arxiv:
  - '1703.02283'
intvolume: '        10'
issue: '2'
language:
- iso: eng
page: ' 33-36'
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: Embedded Systems Letters
publication_identifier:
  eissn:
  - 1943-0671
  issn:
  - 1943-0663
publication_status: published
publisher: IEEE
status: public
title: Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots
type: journal_article
user_id: '16153'
volume: 10
year: '2018'
...