Thesis Details

Large-scale Ultrasound Simulations using Accelerated Clusters

Ph.D. Thesis Student: Vaverka Filip Academic Year: 2022/2023 Supervisor: Jaroš Jiří, doc. Ing., Ph.D.
Czech title
Rozsáhlé simulace ultrazvuku za použití akcelerovaných clusterů

Efficient utilization of accelerated HPC clusters is particularly sensitive to communication efficiency of deployed algorithms. In this thesis, we reexamine pseudo-spectral solvers for wave-like problems in medical ultrasonics to allow their deployment on these machines. The domain decomposition is shown to be a preferable approach to improving data locality of these solvers as a range  of suitable alternative discretizations exhibited considerably worse numerical properties.The local Fourier basis domain decomposition is then used to construct a novel solver based on the state of the art model for ultrasound in medicine -- k-Wave. We show that this approach is up to 7.5x faster and achieves almost perfect weak-scaling up to 512 GPU accelerated nodes, while being able to take full advantage of advanced GPU interconnects such as NVLink in NVIDIA DGX-2 multi-GPU nodes. The method offers flexible accuracy--efficiency trade off, which allows to nearly match accuracy of the global k-Space method or maximize performance at sufficient accuracy by subdomain overlap scaling.


pseudo-spectral methods, supercomputing, domain decomposition methods, local Fourier basis, medical ultrasound simulation, non-linear ultrasound, HIFU, MPI+X, CUDA, GPU, accelerated computing

Degree Programme
Computer Science and Engineering, Field of Study Computer Science and Engineering
26 June 2023
VAVERKA, Filip. Large-scale Ultrasound Simulations using Accelerated Clusters. Brno, 2022. Ph.D. Thesis. Brno University of Technology, Faculty of Information Technology. 2023-06-26. Supervised by Jaroš Jiří. Available from:
    author = "Filip Vaverka",
    type = "Ph.D. thesis",
    title = "Large-scale Ultrasound Simulations using Accelerated Clusters",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2023,
    location = "Brno, CZ",
    language = "english",
    url = ""
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