An Epidemiologist is using GPUs for faster and more accurate disease forecasting. Chris Jewell, Senior Lecturer in Epidemiology at Lancaster Medical School in the UK, has been focusing his research on livestock epidemics such as foot and mouth disease, theileriosis, and avian influenza.
Recently, he has refocused his efforts into the human field where populations and epidemics tend to be larger and therefore need more computing grunt. To do so, he is taking advantage of powerful Tesla GPUs, CUDA and a handful of drop-in GPU accelerated libraries.
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Real-Time Epidemic Forecasting is Now a Reality
Jul 23, 2015
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AI-Generated Summary
- Chris Jewell, a Senior Lecturer in Epidemiology at Lancaster Medical School, is using GPUs to improve disease forecasting for both livestock and human epidemics.
- Jewell's research involves using powerful Tesla GPUs from NVIDIA and CUDA to handle the large computational demands of modeling larger populations and epidemics.
- By leveraging GPU acceleration, Jewell aims to achieve faster and more accurate predictions for disease spread, which can inform rapid decision-making in epidemiology.
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