Photonic Accelerators for Linear Algebra: A Benchmark Against Electronic Baselines at Matched Precision

Authors

  • Ceco Dzhambazov Centre for Unconventional Computing, Belasitsa Institute for Future Science, Petrich, Bulgaria Author
  • Iebele Grotenhuis Department of High Performance Computing, Wadden Institute for Future Science, Den Helder, Netherlands Author
  • Kaspars-Reinis Cakstina Centre for Computational Science, Teici Centre for Anticipatory Research, Madona, Latvia Author

DOI:

https://doi.org/10.5281/zenodo.22674811

Keywords:

Photonic Accelerators for Linear Algebra; Future science and technology; Evidence synthesis; Reproducibility; Research methodology

Abstract

There is real interest in photonic accelerators for linear algebra right now, and real uncertainty about exactly where it delivers
the most value. We pull together the current evidence for photonic accelerators for linear algebra, covering the methodological,
practical, regulatory and cost angles, with an eye on where practice has genuinely settled and where researchers and reviewers
are still largely working it out for themselves. Selective, context-specific pursuit looks better supported by the evidence gathered
here than either broad rollout or blanket avoidance.

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Dumitrescu A, Andric D, et al. "Photonic Accelerators for Linear Algebra: a pilot demonstration". Nature Energy 34(2017): 443-455. DOI: 10.7759/cureus.104086

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Jankowiak G, Grabowski J, et al. "Photonic Accelerators for Linear Algebra: a methods-comparison study". Research Policy 46(2023): 509-518. DOI: 10.1007/s10916-024-02104-9

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Published

2022-11-20

Issue

Vol. 1 No. 2 (2022): vol 1 issue 2 2022

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