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.
Read the interview on Parallel Forall >>
Real-Time Epidemic Forecasting is Now a Reality
Jul 23, 2015
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AI-Generated Summary
- Epidemiologist Chris Jewell uses Tesla GPUs to accelerate disease forecasting for livestock epidemics such as foot and mouth disease, theileriosis, and avian influenza.
- His research applies CUDA and GPU accelerated libraries to handle the larger computational demands of human population epidemics.
- GPU acceleration enables faster and more accurate predictions, such as mapping infection risk for the tick-borne cattle parasite Theileria orientalis.
Next Step
- Read the interview on Parallel Forall for more details on the GPU-accelerated approach.
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