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GPU Accelerated Prognostics
October 2017 • George Gorospe, Matthew Daigle, Shankar Sankararaman, Chetan S. Kulkarni, Eley Ng
Prognostic methods enable operators and maintainers to predict the future performance for critical systems. However, these methods can be computationally expensive and may need to be performed each time new information about the system becomes available. In light of these computational requirements, we have investigated the application of graphics processing units (GPUs) as a computational platform for real-time prognostics. Recent advances in GPU technology have reduced cost and increased the computational capabi…
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