The promise of personalized medicine relies heavily on high performance computing (HPC). Speed and power influence the genome sequence process and ultimately patient treatment plans.
With the SC14 Conference coming up next month, we caught up with Carlos Sosa, high performance computing architect at Cray, Inc., to hear his thoughts on the state of HPCs. In the above video clip, he says that personalized medicine is on the way but that HPC technology needs to be more robust to answer questions quickly for patients and doctors.
He cites a University of Chicago workflow that used parallel machines to sequence genomes and performed 47 years of research in just 51 hours as an example of moving toward personalized medicine capability.
Watch the clip and let us know what questions you have about HPCs and personalized medicine. What are you seeing?