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

    1. 1. Jason Stowe, CEO
    2. 2. Helps do the science we’re capable of
    3. 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. 4. 50,000-core CycleCloud Utility Supercomputer on AWS
    5. 5. With Nimbus Discovery,looking at a cancer drug target
    6. 6. How big is 50,000 cores? Why does this matter?
    7. 7. (W.H.O./Globocan 2008)
    8. 8. Every day iscrucial and costly
    9. 9. Let’s look at drugdesigners trying to treat these diseases
    10. 10. Develops leading computational chemistry algorithms
    11. 11. Drug Design involves identifying protein targets
    12. 12. Flickr: AMagill Which are like locks
    13. 13. Then finding molecules that may fit
    14. 14. Find the matches in millions of molecules
    15. 15. But, internal HPC clusters are too small when you need them most… and too large every other time.
    16. 16. Challenge: To run a virtual screen with ahigher accuracy algorithm & 21 million compounds
    17. 17. 50,000-core CycleCloud on AWS
    18. 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. 19. Now I could bore you withinfrastructure details
    20. 20. Details: http://blog.cyclecloud.com
    21. 21. Details: http://blog.cyclecloud.com
    22. 22. Details: http://blog.cyclecloud.com
    23. 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. 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. 25. 3 Hours…For $4828.85/hr
    26. 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. 27. With Nimbus Discovery,already acquiring the “new leads”
    28. 28. Every day iscrucial and costly...
    29. 29. Utility Supercomputing can help
    30. 30. Make impossible Big Science, possible.

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