Publication Details

Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic

JAROŠ, J.; DUCHOŇ, R. Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 370-372. ISBN: 979-8-4007-0413-0.
Czech title
Akcelerace ultrazvukové neurostimulace pomocí aritmetiky se sníženou přesností
Type
conference paper
Language
English
Authors
Jaroš Jiří, doc. Ing., Ph.D. (DCSY)
Duchoň Radek, Ing.
Keywords

GPU, Nvidia, CUDA, k-Wave, Acceleration, Ultrasound, Acoustic waves, Neurostimulation, Mixed precision

Abstract

Ultrasound neurostimulation, a technique that modulates the brain's electrical activity, has emerged as a significant secondary treatment option for cases resistant to pharmacological interventions. The therapy is achievable through the application of a three-dimensional steerable ultrasound, directed by patient-specific stimulation plans. These plans are meticulously crafted through full-wave ultrasound propagation simulations. Nonetheless, the computational intensity required for calculating these plans poses a significant challenge, often reaching the memory capacities of contemporary graphics processing units (GPUs). By representing material properties and k-space operators more efficiently, we achieved a 22% reduction in precision GPU memory usage, while accelerating calculations by 8.5%. This optimization introduced an error that reduced focal pressure by 0.5% without any focus movement, values that are clinically acceptable.

Published
2024
Pages
370–372
Proceedings
HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing
ISBN
979-8-4007-0413-0
Publisher
Association for Computing Machinery
Place
New York
DOI
BibTeX
@inproceedings{BUT189462,
  author="Jiří {Jaroš} and Radek {Duchoň}",
  title="Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic",
  booktitle="HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing",
  year="2024",
  pages="370--372",
  publisher="Association for Computing Machinery",
  address="New York",
  doi="10.1145/3625549.3658823",
  isbn="979-8-4007-0413-0",
  url="https://www.fit.vut.cz/research/publication/13194/"
}
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