2023-11-27 デューク大学(Duke)
◆研究者たちはAWSのクラウド上でのシミュレーションにより、計算メモリの需要を劇的に低減させ、大規模な赤血球モデリングを可能にしました。今後は細胞間の粘着や血管壁での挙動変化の調査を行い、APRががんダイナミクスの研究において普及する可能性があると述べています。
<関連情報>
- https://pratt.duke.edu/news/seeing-cancers-spread-through-a-computational-window/
- https://dl.acm.org/doi/10.1145/3581784.3607105
現実的な赤血球数の追加による適応物理精製シミュレーションの強化 Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts
SC ’23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis Published:11 November 2023
DOI:https://doi.org/10.1145/3581784.3607105
ABSTRACT
Simulations of cancer cell transport require accurately modeling mm-scale and longer trajectories through a circulatory system containing trillions of deformable red blood cells, whose intercellular interactions require submicron fidelity. Using a hybrid CPU-GPU approach, we extend the advanced physics refinement (APR) method to couple a finely-resolved region of explicitly-modeled red blood cells to a coarsely-resolved bulk fluid domain. We further develop algorithms that: capture the dynamics at the interface of differing viscosities, maintain hematocrit within the cell-filled volume, and move the finely-resolved region and encapsulated cells while tracking an individual cancer cell. Comparison to a fully-resolved fluid-structure interaction model is presented for verification. Finally, we use the advanced APR method to simulate cancer cell transport over a mm-scale distance while maintaining a local region of RBCs, using a fraction of the computational power required to run a fully-resolved model.
