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Accelerating physics simulations with tensor processing units: An inundation modeling example
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AI
DOI：10.1177/10943420221102873.png)
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Abstract
En 中文
Recent advancements in hardware accelerators such as Tensor Processing Units (TPUs) speed up computation time relative to Central Processing Units (CPUs) not only for machine learning but, as demonstrated here, also for scientific modeling and computer simulations. To study TPU hardware for distributed scientific computing, we solve partial differential equations (PDEs) for the physics simulation of fluids to model riverine floods. We demonstrate that TPUs achieve a two orders of magnitude speedup over CPUs. Running physics simulations on TPUs is publicly accessible via the Google Cloud Platform, and we release a Python interactive notebook version of the simulation.
Keywords:
CFD
computational fluid dynamics
distributed computing
flood forecasting
flood modeling
inundation modeling
large scale simulations
parallel computing
tensor processing units
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