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Jason Stowe, CEO
Helps do the science we’re capable of
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
50,000-core CycleCloud
 Utility Supercomputer
         on AWS
With Nimbus Discovery,
looking at a cancer drug target
How big is 50,000 cores?
 Why does this matter?
(W.H.O./Globocan 2008)
Every day is
crucial and costly
Let’s look at drug
designers trying to treat
    these diseases
Develops leading computational
     chemistry algorithms
Drug Design involves identifying
        protein targets
Flickr: AMagill


                  Which are like locks
Then finding molecules that may fit
Find the matches in millions of
          molecules
But, internal HPC clusters are too small
      when you need them most…

     and too large every other time.
Challenge: To run a virtual screen with a
higher accuracy algorithm & 21 million compounds
50,000-core CycleCloud
        on AWS
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, migration
User
                      Data &
                                                          Chef
                     Application         Traditional                   Reporting &
       Shared                                             (SW
                       Aware             Scheduler                       Audit
         FS                                              config)
                     Movement




                      CC1/CCG
                                              EBS
                      Instances                               S3
                                               EBS
Now I could bore you
         with
infrastructure details
Details: http://blog.cyclecloud.com
Details: http://blog.cyclecloud.com
Details: http://blog.cyclecloud.com
Resource                  Count
Total Instances           6,742 ($20+ million datacenter spend)

- c1.xlarge instances     5,435
- c1.medium instances     779

- cc1.4xlarge instances   297

- cc2.8xlarge instance    231

cores                     51,132
RAM                       58.78-TB
AWS Regions               All (7: us-east, us-west1, us-west2, eu-west,
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 & AWS
The impossible run finished in…
3 Hours…
For $4828.85/hr
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
Instead of $20+ Million in infrastructure:
    At Peak Cost: $4828.85/hr to run
With Nimbus Discovery,
already acquiring the “new leads”
Every day is
crucial and costly...
Utility Supercomputing
         can help
Make impossible Big Science, possible.

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

Notas do Editor

  1. 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
  2. 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