We introduce GPU Halo Replay, a solver-aware in situ framework for stencil-based applications that creates a lossless simulation “twin” for advanced visualization and analysis. By decoupling analysis from the primary simulation and delegating it to dedicated twin simulations, GPU Halo Replay overcomes the synchronization and fidelity limitations of traditional post hoc and in situ methods….
Recent advances in exascale computing have increased the resolution and fidelity of large-scale simulations, while rapid progress in deep learning has accelerated efforts to couple machine learning with physics-based solvers. We present a lightweight, modular in situ coupling methodology that embeds machine learning training and infer-ence directly into simulation workflows using the ParaView and Cat-alyst…
Circulating tumor cells (CTCs) interact with the vascular endothelium under hemodynamic forces that influence where metastatic seeding occurs. Wall shear stress (WSS) has been shown to regulate adhesive signaling, yet its mechanistic role in shaping spatial patterns of CTC arrest within complex vascular networks remains poorly understood. In this work, we present a three dimensional…
Center Director Amanda Randles discusses building patient-specific digital twins that could transform disease prediction, prevention, and personalised healthcare.
Women in High Performance Computing highlights Center Director Amanda Randles’ keynote at ISC26.
The Center for Computational and Digital Health Innovation is proud to celebrate Center Director Amanda Randles being named to the inaugural SCW75 cohort, a new recognition program from Scientific Computing World honoring leaders who are redefining what is possible at the intersection of computing, AI, and scientific discovery.
Working at the intersection of supercomputing, fluid dynamics, and clinical cardiology, Center Director Amanda Randles and her lab have developed a platform called HARVEY, a massively parallel blood flow solver that simulates 3D blood flow.
Digital models and digital twins of human circulatory transport could transform the way cardiovascular and haematological diseases are understood, monitored and treated. Digital twins are dynamic virtual representations of physical systems that continuously assimilate real-world data to simulate and predict system behaviour. However, translating digital twins into clinical practice remains challenging owing to the complexity…
The Heidelberg Laureate Forum Foundation presents the HLF Laureate Portraits: Amanda Randles, ACM Prize in Computing 2023.