AI and ML accelerator survey and trends
A Reuther, P Michaleas, M Jones… - 2022 IEEE High …, 2022 - ieeexplore.ieee.org
This paper updates the survey of AI accelerators and processors from past three years. This
paper collects and summarizes the current commercial accelerators that have been publicly …
paper collects and summarizes the current commercial accelerators that have been publicly …
[HTML][HTML] Rapid spatio-temporal flood modelling via hydraulics-based graph neural networks
R Bentivoglio, E Isufi, SN Jonkman… - Hydrology and Earth …, 2023 - hess.copernicus.org
Numerical modelling is a reliable tool for flood simulations, but accurate solutions are
computationally expensive. In recent years, researchers have explored data-driven …
computationally expensive. In recent years, researchers have explored data-driven …
Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates
Floods can be very destructive causing heavy damage to life, property, and livelihoods.
Global climate change and the consequent sea-level rise have increased the occurrence of …
Global climate change and the consequent sea-level rise have increased the occurrence of …
[HTML][HTML] Leveraging Google's Tensor Processing Units for tsunami-risk mitigation planning in the Pacific Northwest and beyond
Tsunami-risk mitigation planning has particular importance for communities like those of the
Pacific Northwest, where coastlines are extremely dynamic and a seismically active …
Pacific Northwest, where coastlines are extremely dynamic and a seismically active …