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JAROŠ, J. DUCHOŇ, R.
Originální název
Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
GPU, Nvidia, CUDA, k-Wave, Acceleration, Ultrasound, Acoustic waves, Neurostimulation, Mixed precision
Autoři
JAROŠ, J.; DUCHOŇ, R.
Vydáno
30. 8. 2024
Nakladatel
Association for Computing Machinery
Místo
New York
ISBN
979-8-4007-0413-0
Kniha
HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing
Strany od
370
Strany do
372
Strany počet
3
URL
https://www.fit.vut.cz/research/publication/13194/
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/" }