GPU Day 2023

Session

Session VIII

16 May 2023, 16:15

Wigner Datacenter - Wigner Research Centre for Physics

107. Gigapixel whole slide image analysis with deep learning

András Biricz (Eötvös Loránd University, Department of Complex Systems in Physics), Zsolt Bedőházi (Eötvös Loránd University, Doctoral School of Informatics, Eötvös Loránd University, Department of Complex Systems in Physics)

16/05/2023, 16:15

Lecture

The application of deep learning in gigapixel whole slide image analysis has shown promising results in terms of accuracy and efficiency compared to traditional image analysis techniques. Transformer based models as the current state-of-the-art algorithms are capable of identifying and classifying various structures and patterns within the tissue, providing insights into the underlying...

84. GPU accelerated parallel computing of iterated function systems in mechatronic applications

Tamás Haba

16/05/2023, 16:40

Lecture

Position control is a fundamental task of mechatronics, where the goal is to drive an object to a desired position or maintain its trajectory on a given path. The digital implementation of control leads to a sampled-data system, resulting in piecewise smooth dynamical properties due to the sudden changes of the control input at the sampling instants. In the controlled mechanical system, dry...

85. Pentadsolver, a scalable batch-pentadiagonal solver library for ADI applications

Gábor Dániel Balogh (PhD Student)

16/05/2023, 17:05

Lecture

In HPC, a common method is decomposing large equation systems into a batched
problem of small equation systems. Such small systems are
Tridiagonal/pentadiagonal matrix systems frequently arise in
finite-difference methods for solving multi-dimensional PDEs in various
applications. Such systems are, for instance, present in computational fluid
dynamics (CFD) for flow solvers based on...

92. AI learns stellar spectroscopy

Balázs Pál (Wigner FK)

16/05/2023, 17:30

Examining the dynamics and spatial properties of individual stars and stellar populations in satellite galaxies surrounding the Milky Way through the lenses of galactic archeology is crucial to understand galactic evolution. By gaining insight into this process, it can provide us valuable information about the large-scale and long-term characteristics of both ordinary matter and dark matter....

93. Heuristic optimization with heterogeneous AI frameworks

Zsolt Kisander (University of Pécs)

16/05/2023, 17:55

PyTorch is a production-ready framework for machine learning in
Python, offering a robust ecosystem and a large community behind. It
takes advantage of GPUs, HPC, and cloud environments. While primarily
aimed for machine learning applications, it includes tools for a broad
area of numerical applications, including, e.g. linear algebra,
tensors, random numbers, statistics, optimization,...

89. Analysing high resolution digital Mars images using machine learning

Mira Gergácz (ELTE Institute of Physics; Wigner Research Centre for Physics; Konkoly Thege Miklos Astronomical Institute, Research Centre for Astronomy and Earth Sciences)

16/05/2023, 18:20

Lecture

The searching for ephemeral liquid water on Mars is an ongoing activity. After the recession of the seasonal polar ice cap on Mars, small water ice patches may be left behind in shady places due to the low thermal conductivity of the Martian surface and atmosphere. During the southern summer, these patches may be exposed to direct sunlight and warm up rapidly enough for the liquid phase to...

64. Closing

Gergely Barnafoldi (Wigner RCP RMI of the Hungarian Academy of Sciences)

16/05/2023, 18:40

Lecture