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AWS Customer Presentation - Cycle Computing - AWS Summit 2012 - NYC

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  • First let me tell you a bit about Cycle. If you'd have told me 7 years ago when I started bootstrapping Cycle, that today 2 of the 3 largest banks, 3 of the 5 largest insurance, and 4 of the 5 largest Pharma would use Cycle's software to manage supercomputing-class computations, I'd have said you were crazy. The AWS Cloud helps companies do amazing things
  • Today I’ll be telling an amazing story of real world cloud usage, and specifically how the Cloud enables us to do what we’re capable of. T

Transcript

  • 1. Jason Stowe, CEO
  • 2. Helps do the science we’re capable of
  • 3. 30000 CycleCloud HPC Cluster Needed by Users 25000 20000# Cores 15000 10000 5000 0 2008 2008.5 2009 2009.5 2010 2010.5 2011 2011.5 Year
  • 4. 50,000-core CycleCloud Utility Supercomputer on AWS
  • 5. With Nimbus Discovery,looking at a cancer drug target
  • 6. How big is 50,000 cores? Why does this matter?
  • 7. (W.H.O./Globocan 2008)
  • 8. Every day iscrucial and costly
  • 9. Let’s look at drugdesigners trying to treat these diseases
  • 10. Develops leading computational chemistry algorithms
  • 11. Drug Design involves identifying protein targets
  • 12. Flickr: AMagill Which are like locks
  • 13. Then finding molecules that may fit
  • 14. Find the matches in millions of molecules
  • 15. But, internal HPC clusters are too small when you need them most… and too large every other time.
  • 16. Challenge: To run a virtual screen with ahigher accuracy algorithm & 21 million compounds
  • 17. 50,000-core CycleCloud on AWS
  • 18. Management Software CycleCloud HPC Cluster - Scales to 50,000+ cores - Automation & Error Handling Secure, HPC Massive Scale - Encryption & Key Mgmt Cluster Based upon workload - Elastic, Massive CPU/FS - Data scheduling, migrationUser Data & Chef Application Traditional Reporting & Shared (SW Aware Scheduler Audit FS config) Movement CC1/CCG EBS Instances S3 EBS
  • 19. Now I could bore you withinfrastructure details
  • 20. Details: http://blog.cyclecloud.com
  • 21. Details: http://blog.cyclecloud.com
  • 22. Details: http://blog.cyclecloud.com
  • 23. Resource CountTotal Instances 6,742 ($20+ million datacenter spend)- c1.xlarge instances 5,435- c1.medium instances 779- cc1.4xlarge instances 297- cc2.8xlarge instance 231cores 51,132RAM 58.78-TBAWS Regions All (7: us-east, us-west1, us-west2, eu-west,
  • 24. Metric Count Compute Hours of Work 109,927 hours Compute Days of Work 4,580 days Compute Years of Work 12.55 years Ligand Count ~21 million ligands Using CycleCloud & AWSThe impossible run finished in…
  • 25. 3 Hours…For $4828.85/hr
  • 26. Metric Count Compute Hours of Work 109,927 hours Compute Days of Work 4,580 days Compute Years of Work 12.55 years Ligand Count ~21 million ligandsInstead of $20+ Million in infrastructure: At Peak Cost: $4828.85/hr to run
  • 27. With Nimbus Discovery,already acquiring the “new leads”
  • 28. Every day iscrucial and costly...
  • 29. Utility Supercomputing can help
  • 30. Make impossible Big Science, possible.