GPU

NanoRay Platform: Autoscaling Resources & Cost-Benefit Analysis of Computational Needs

Sneha Geonka from Stanford University & Princeton presented on “Computational paradigm for scalable ultra-fast, & cost-efficient nanopore sequencing.” Goenka shared a graph showing the turnaround time for sequencing in the clinic. The world record is 7.3 hours at Stanford! To shorten the time to diagnosis, the pipeline included distributed computing and a lot of GPUs: […]
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Portable GPUs

Miles Benton from the Institute of Environmental Science and Research in New Zealand spoke at the Nanopore Community Meeting 2021 about “Affordable GPU compute makes nanopore sequencing even more disruptive and empowering.”Benton is a senior scientist, bioinformatician, and an advocate of open, reproducible science. They share their materials on GitHub. Benton spoke about the birth […]
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