Compute for All: Accessible Compute and What It Means for the Future of Science

smardinly — Thu, 04 Apr 2013 19:14:32 +0000

One technology trend that will shape innovation in the healthcare and life sciences arena this century is increased access to computing to analyze data, simulate, and do science in silico via the cloud. When scientists and researchers are no longer limited by fixed-size compute and data capacity, we get better, faster science. We're now able to create utility supercomputers of up to 50,000 cores in the cloud, for less than $1,000/hour, for small research labs to Big 10 Pharmas. Utility HPC and supercomputing make what was once impossible science, possible.

This presentation covers real world use cases for companies including Novartis, Johnson & Johnson, Genentech, Schrödinger, Life Technologies, and Pacific Biosciences. We'll cover lessons learned in deploying utility HPC for various sciences including Genomics, Molecular Modeling, Simulation, Proteomics, and many more. We'll also cover the most recent 10,600 server Utility HPC environment that ran 40 years of computing for a Big 10 Pharma, in 11 hours, for $4,372 total.

Jason Stowe, CEO of Cycle Computing, a provider of utility supercomputing software that orchestrates high performance computations in the cloud, will share with you his insights on the future of science in a world with accessible compute. Jason will touch on his client’s use cases, which include everything from cancer drug research to stem cell indexing.

Across the life sciences industry the positive effects of accessible compute have been felt. Researchers can attack disease in a much more efficient and thorough manner by aggregating larger sets of data across patients. They then can use that information to more appropriately treat diseases and create drugs. Another benefit of this compute power is new algorithms that were not possible before because they would be too compute intensive to justify the cost to run every time a drug needed to be tested. Since it is now possible to rent supercomputing capabilities, companies are much more likely to invest thousands, as opposed to millions, of dollars on running intensive computations.

Keywords:

High Performance Computing

Utility Supercomputing

Accessible Compute Power

Speaker First Name:

Jason

Speaker Last Name:

Stowe

Speaker Job Title:

CEO

Speaker's Company Name/Affiliation:

Cycle Computing

Speaker Bio:

Jason Stowe, CEO at Cycle Computing Jason Stowe is a seasoned entrepreneur, and the founder and CEO of Cycle Computing, the leader in Utility Supercomputing Software. Cycle delivers proven, secure and flexible high performance computing (HPC) and data solutions since 2005. Cycle helps clients maximize existing infrastructure and speed computations on servers, VMs, and on-demand in the cloud. CycleComputing 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, TheRegister, 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, 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.

Speaker's Company Logo:

Speaker's Headshot Photo:

Speaker's LinkedIn Profile:

http://www.linkedin.com/profile/view?id=3066183&locale=en_US&trk=tyah2

Speaker's Twitter profile:

https://twitter.com/cyclecomputing

Speaker's Postal Address:

151 Railroad Avenue, 3F Greenwich, CT 06830

California Room

Tuesday, June 18, 2013 - 10:45

6th annual Cloud Slam 2014 Cloud Computing Conference, San Francisco CA, June 4, 2014. Cloud Computing Events 2014 - High Performance Computing

Compute for All: Accessible Compute and What It Means for the Future of Science