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High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory...

Publication Type
Conference Paper
Book Title
2022 IEEE International Conference on Cluster Computing (CLUSTER)
Publication Date
Page Numbers
230 to 242
Publisher Location
New Jersey, United States of America
Conference Name
CLUSTER: IEEE International Conference on Cluster Computing
Conference Location
Heidelberg, Germany
Conference Sponsor
Conference Date

The ability to track simulated cancer cells through the circulatory system, important for developing a mechanistic understanding of metastatic spread, pushes the limits of today's supercomputers by requiring the simulation of large fluid volumes at cellular-scale resolution. To overcome this challenge, we introduce a new adaptive physics refinement (APR) method that captures cellular-scale interaction across large domains and leverages a hybrid CPU-GPU approach to maximize performance. Through algorithmic advances that integrate multi-physics and multi-resolution models, we establish a finely resolved window with explicitly modeled cells coupled to a coarsely resolved bulk fluid domain. In this work we present multiple validations of the APR framework by comparing against fully resolved fluid-structure interaction methods and employ techniques, such as latency hiding and maximizing memory bandwidth, to effectively utilize heterogeneous node architectures. Collectively, these computational developments and performance optimizations provide a robust and scalable framework to enable system-level simulations of cancer cell transport.