Another argument for the cloudy future of life sciences HPC

By Matthew Dublin

Cloud computing whiz kid Jason Stowe, founder and CEO of Cycle Computing, a cloud management solutions company, puts forth a a pitch about why bioinformaticists and pharma IT folk should be looking towards cloud computing as the future of life sciences HPC. Stowe cites examples such as Schrödinger's virtual screening program Glide, which is available on the cloud. Recently, the company demonstrated how "on-demand availability of large, secure, and trouble-free cloud computational resources can fill this gap. As test data, it screened 1.8 million candidate compounds against a target site to find potential matches. Using a 600-processor cloud HPC cluster, 18 months of screening was completed in 36 hours." Not too shabby. As with any pro-cloud argument, the main point is the elasticity and cost reductions when compared to fixed-sized clusters where the growing needs of its users result in more servers, networking equipment, and additional IT personnel (i.e. money, money, and more money).