Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression

M Paszyński, L Siwik, W Dzwinel, K Pingali - Computers & Mathematics …, 2022 - Elsevier
Supermodeling is a modern, model-ensembling paradigm that integrates several self-
synchronized imperfect sub-models by controlling a few meta-parameters to generate more …

Efficient model of tumor dynamics simulated in multi-GPU environment

A Kłusek, M Łoś, M Paszyński… - … International Journal of …, 2019 - journals.sagepub.com
The application of computer simulation as a tool in predicting cancer dynamics (eg during
anticancer therapy) requires tumor models, which are nontrivial and, simultaneously, not …

Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs

L Siwik, M Łoś, A Kłusek, A Paszyńska, K Pingali… - … of Computational and …, 2022 - Elsevier
In the paper, we present the three-dimensional parallel simulator of tumor progression
implemented for GPGPUs, together with an automatic model parameters tuning performed …

Supermodeling-a meta-procedure for data assimilation and parameters estimation

L Siwik, M Łoś, W Dzwinel - … Conference, Krakow, Poland, June 16–18 …, 2021 - Springer
The supermodel synchronizes several imperfect instances of a baseline model-eg, variously
parametrized models of a complex system-into a single simulation engine with superior …