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LOCATION:HG F 30 Audi Max
DTSTART;TZID=Europe/Stockholm:20240604T100900
DTEND;TZID=Europe/Stockholm:20240604T101000
UID:submissions.pasc-conference.org_PASC24_sess158_posC111@linklings.com
SUMMARY:ACMP10 - Optimized Finite Volume Methods Solver Allows for Real-Si
 zed Tumor Simulations
DESCRIPTION:Poster\n\nJose Luis Estragués Muñoz, Carlos Álvarez, and Danie
 l Jimenez (Barcelona Supercomputing Center); Alfonso Valencia (Barcelona S
 upercomputing Center, ICREA); and Arnau Montagud (Barcelona Supercomputing
  Center)\n\nMulti-scale agent-based cell simulators sets daunting computat
 ional challenges in bioinformatics, only feasible by supercomputing resour
 ces. These simulators consider evolving microenvironmental conditions and 
 cell interactions. By specifying rules at the cell level, researchers can 
 explore complex tissue and organ systems, aiming to create Human Digital T
 wins (HDT) for personalized medicine. While significant milestones have be
 en achieved, current systems are not able to model HDTs, only reaching rea
 l-sized tissue simulations of the order of  10⁶ cells while organs simulat
 ions are of the order of 10¹².\n\nPhysiCell is a physics-based multi-scale
  cell simulator that facilitates the translation of intracellular mechanis
 ms to tissue-level biomedical solutions. An analysis of PhysiCell and its 
 distributed version, PhysiCell-X, reveals the diffusion time step as a cri
 tical bottleneck. BioFVM and BioFVM-X, using Finite Volume Methods, encoun
 ter scalability issues in modeling microenvironmental evolution. Enter Bio
 FVM-B, a scalable library offering a lightweight data structure and an opt
 imized Diffusion-decay 3D solver. BioFVM-B enables simulations of microenv
 ironments that can contain real-sized tumors with reduced computing nodes 
 and an efficient implementation for solving massive sets of tridiagonal eq
 uations that accelerates the Diffusion time-step with factors of up to ~20
 0X.\n\nSession Chair: Iva Kavcic (Met Office)
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