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CycleCloud: Utility supercomputing
          for everyone


                   Jason A. Stowe

                   CEO, @jasonastowe
Change in capability for
science / math / analysis workloads
Helps do what we’re capable of
Utility Supercomputing
On-demand creation of
      small to massive HPC,
as a metered, pay-for-use service.
Software that creates Cloud HPC
    from 50 to 50,000 cores
Hartford, JPMorgan,…

     Lockheed Martin,
Purdue DiaGrid, Duke, U.Wisc
Cycle’s Utility Supercomputing in
WSJ, NY Times, Wired, Bio-IT World
          BusinessWeek
Today

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
Scales to 50 - 50,000+ cores
                                         - Automation & Error Handling
                                         - Encryption & Key Mgmt
                                         - Elastic, Massive CPU/FS
               Cloud HPC Software        - Data scheduling, migration
                                         - Security, Security, Security…
               Deploying, Auto-scaling
Internal HPC       HPC clusters
  Hardware        Audit & Reporting               Applications

                                              Traditional Scheduler
                Security Automation,
                                                   Monitoring
                Encryption/Key Mgmt
                                                Chef (SW config)
 Shared FS     Storage/Data Scheduling
                                                OS / File System

                  Scale Certification
                                                      Instances
                  Job/Cluster APIs
                                                                  EBS
   User         Application Templates
                                                 S3                EBS
Now I could bore you with
  infrastructure details
Details: http://blog.cyclecomputing.com
Details: http://blog.cyclecomputing.com
Details: http://blog.cyclecomputing.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, sa-east,
                          ap-northeast, ap-southeast )
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
Today
For < $1,000/hr
Instead of $20+ Million in infrastructure:
     At Peak Cost: <$1,000/hr to run
With Nimbus Discovery,
already acquiring the “new leads”
Every day is
crucial and costly...
Not just in cancer research

And not just for big jobs.
With analysis,
humans can be the bottleneck
We only have so much
 time on the planet
Big 10 Pharma with peak loads:
     <1,000 core use case
Researcher/
                                   CycleServer SubmitOnce™
   Engineer                                                 Big 10 Pharma
                        Jobs


HPC / Workload Analytics             CycleCloud clusters look exactly like
                                                   internal environments
- SubmitOnce™ routes workloads
                                                - Computational Fluid Dynamics
- Agile Workload placement,
   Application-aware scheduling™                      - Clinical Trial Simulation

              File
              File                                             File
                                                               File
             System
             System                                           System
                                                              System
Lab-generated Image Analysis Workload
                   (very similar to satellite imagery)



                              CycleCloud HPC Cluster
                               - Linux and Windows workload
      Processing        - Cluster spun up only during analysis
                          - Similar to any imagery, document,
                                              or audio analysis
                   Imagery                    File
Analyst            Data
                                              File
                                             System
                                             System
Engineering, Modeling

   40 – 800 cores
EDA/Engineering company
  running 100s of cores,
      once a month
CycleCloud clusters look exactly like
                                      internal environments
         Compute Jobs          -Periodic Usage, far 10,000% cheaper
                                                -Costs < $100/month

                        Data                        File
Researcher                                          File
                                                   System
                                                   System
Financial Modeling,
    Analogous to
Tax revenue modeling
   80 – 1,600 cores
Researcher/
                                     CycleServer SubmitOnce™
      Quant                               Fortune 500 FinSer/Insurance
                         Jobs


HPC / Workload Analytics               CycleCloud clusters look exactly like
                                                     internal environments
- SubmitOnce™ routes workloads
                                            - Windows Cluster for Hedging analysis
- Data scheduling seamless to user
                                                       - Data migrated seamlessly

              File
              File                                                File
                                                                  File
             System
             System                                              System
                                                                 System
Tax Revenue modeling
Imagery/document/audio Analysis
   Infectious disease analysis

    Time is of the essence…
Tax Revenue modeling
Satellite Imagery Analysis
Infectious disease analysis

Time is of the essence…
Lastly
Cell identification
Cycle
BigScience
Challenge
Victor Ruotti,
Morgridge Institute for
      Research
Big Data, meet
   Big Compute

  (1 million hours,
78 TBs Genome data)
Our software aided a
 ComputeCentury™
     In a week
   For ~$19,555
Will hopefully help with
infectious/other disease
        treatment
Every day is
crucial and costly...
Utility Supercomputing
         can help
To that end, Cycle wants
       to help you
Will help 3
FED/SLED projects
get started this month
Talk to me afterwards:

jstowe@cyclecomputing.com
Utility Supercomputing,
     Cycle & AWS
Make IT a force for good,
a force for the public good
Make impossible BigScience, possible.
Thank you, Thanks AWS!
 Questions? Follow us at: @cyclecomputing
 http://www.cyclecomputing.com

 We’re hiring!
 jobs@cyclecomputing.com

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Utility Supercomputing on AWS - Stowe

Editor's Notes

  1. Good morning, everyone. Thank you Werner, thank you for having me.
  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
  3. First let me tell you a bit about Cycle. If you&apos;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&apos;s software to manage supercomputing-class computations, I&apos;d have said you were crazy. The AWS Cloud helps companies do amazing things
  4. 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