What happens when scientists and researchers are no longer limited by fixed-size compute and data capacity? Better, faster science. From small research labs to start-ups to Fortune 500s, the combination of HTCondor and Utility HPC is making impossible science possible in Life Sciences. This session explores how organizations are running large-scale high performance computing (HPC) workloads, using CycleCloud and HTCondor with lessons learned from several real-world examples in Genomics, Molecular Modeling, Simulation, Proteomics and many more.

Jason Stowe, CEO at Cycle Computing

Jason Stowe is a seasoned entrepreneur, and the founder and CEO of Cycle Computing, the leader in Utility HPC and Utility Supercomputing Software. Cycle delivers proven, secure and flexible high performance computing (HPC) and data solutions since 2005. Cycle Computing products help clients maximize internal infrastructure and increase power as research demands, like the 10000-core cluster for Genentech, the 30000+ core cluster for a Top 5 Pharma and 50,000+ core cluster for Schrodinger that were covered in the NY Times, Wall Street Journal, Wired, BusinessWeek, Bio-IT World and Forbes. Starting with three initial Fortune 100 clients, Cycle has grown to deploy proven implementations at Fortune 500s, SMBs and government and academic institutions including JP Morgan Chase, The Hartford Insurance Group, Johnson & Johnson, Purdue University, Pfizer and Lockheed Martin. Jason attended Carnegie Mellon and Cornell Universities, and volunteered/guest lectured for the Entrepreneurship program at Cornell's Johnson Business School