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Sequencing and protein docking are very compute-intensive tasks that see a large performance benefit by using a CUDA-enabled GPU. There is quite a bit of ongoing work on using GPUs for a range of bioinformatics and life sciences codes.
With the introduction of NVIDIA Tesla Bio Workbench, it provides bio-physicists and computational chemists the tools to push the boundaries of bio-chemical research, optimizing the scientific workflow and accelerating the pace of research. Learn more.
|Accelerating HMMER using GPUs
|MUMmerGPU: High-through DNA sequence alignment using GPUs
Schatz, et al
GPU Technology Conference 2012:
More presentations are available on GTC On-Demand.CUDA-Acceleration in Related Verticals
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