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Dr. Dennis Nagy, BeyondCAE
April 8, 2014
8:00 AM PDT, 11:00 AM EDT, 17:00 CET
• * Engineering Simulation Veteran’s Series, Parts 1 and 2:
• “Where We Are and How We Got Here,” and
• “Where Are We Going?
were webcast on February 12th and 25th, 2014, respectively.
• Slides and recorded versions of both webcasts are available at
www.TheUberCloud.com
Engineering Simulation Meets The Cloud:
Current Status and Future Prospects
The Full Abstract (for reference only)
 The Cloud is all the rage for the past couple of years and shows no signs of reduced hype any time
soon. What is “The Cloud?” There are many evolving viewpoint-centric definitions, which make it
even harder to separate the wheat from the chaff (remember the World-Wide Web run-up to the
dot.com bubble burst in the late 1990s?). This presentation will provide an overview of the Cloud-
relevant concepts and terminology, and their evolving practical implementations, from an
engineering simulation software viewpoint, covering HPC, Big Data, IaaS, PaaS, SaaS,…(had
enough already?). Beyond all these vendor/I.T.-driven concepts and viewpoints, what are
product/process development engineers and their employer enterprises actually trying to
accomplish more effectively? How does The Cloud fit in now and, more importantly, for the
near future.
 Special emphasis will be given to how small and medium enterprises’ (SME’s—the under-served
“missing middle”) engineering needs are starting to be met by Cloud-related simulation access
opportunities. Computer hardware vendors seem to be leading the Cloud wave in general, but
major simulation software vendors are quite varied in their articulated Cloud strategies and
implementations so far, which has partly given rise to CAE-oriented start-ups emerging with a
Cloud-based value proposition. The UberCloud’s impressive success to date will be
summarized as one example of how simulation software vendors, hardware resource
providers, engineering end users, and HPC experts are combining their time and
interests, on a (so far) voluntary basis to discover, understand, and overcome the
practical hurdles in conducting industry-useful engineering simulations in The Cloud.
8 April 2014Copyright © 2014 by Dennis A. Nagy 2
Topics: Questions to Answer
 At whom is this presentation targeted?
 What are engineers actually doing?
 How does Engineering Simulation (CAE) help
them do it “better”?
 What are the obstacles to more engineers
making more “effective” use of Engineering
Simulation?
 What is “The Cloud”?
 Current Status of Engineering Simulation in
“The Cloud”
 Future prospects for better engineering via
prudent use of “The Cloud”
 The role of The UberCloud HPC Experiment
8 April 2014Copyright © 2014 by Dennis A. Nagy 3
Who Am I?
48 April 2014Copyright © 2014 by Dennis A. Nagy
A broad expert in engineering simulation (CAE), over 42
years of experience: from R&D, university teaching, through
commercial software development, support, sales and
marketing management, to executive management.
• Former Sr. VP of worldwide Sales at MSC.Software
• CEO of Engineous (now part of DS/SIMULIA)
• VP of Marketing and Business Development at CD-adapco
• VP of Marketing and Asia-Pacific at Fluent (now part of ANSYS)
• VP of International Business, Blue Ridge Numerics (now part of Autodesk)
Currently Principal at BeyondCAE, a global
strategy and business development
consulting activity located in Chapel Hill, NC, USA.
Mentor, TheUberCloud HPC Experiment
Member of the NAFEMS Americas Steering Committee
At Whom is this Presentation Targeted?
 I have spent almost all my career on the vendor (ISV) side
 However, there are plenty of sources of vendor (Cloud and ISV) views
on “how The Cloud does something beneficial for (fill in the blank)”
 So I am trying to look at this topic from the engineering end-
user/management viewpoint and provide some introduction for that
audience to navigating the Cloud opportunities and hype.
8 April 2014Copyright © 2014 by Dennis A. Nagy 5
INNOVATION
Back to Basics:
What Are Engineers Actually Doing?
 Engineers are developing (”designing” in a
physical/functional sense) products, systems, and processes
to meet (or even exceed!) a set of captured and understood
requirements
 The functional requirements involve the expected physical
behavior of what is being developed
 Anything that will assist engineers (and their corporate
management) in judging whether requirements will be met
is helpful
 The “Design-Build (physical prototypes)-Test-Modify”
workflow cycle has been more and more
supplemented/replaced by Engineering Simulation
8 April 2014Copyright © 2014 by Dennis A. Nagy 6
How Does Engineering Simulation (CAE) Help
Engineers Do Their Work “Better”?
 Provides the possibility of examining the functional behavior of
product/process designs much earlier and more quickly than
physical prototype testing
 Can allow engineers to gain further functional insight (the “aha”
moments) and try more (and more radical “outside the box”) ideas
during development and/or allow for a significant speed-up in the
development cycle (freedom to trade off)
IF
…the simulations are “realistic enough” and “fast enough”
(joint judgment call by development engineers, simulation experts,
and management)
 Engineering Simulation has reached this “if” milestone in many
major industries and larger manufacturing companies today
8 April 2014Copyright © 2014 by Dennis A. Nagy 7
Advanced Information Technology Solutions:
An Engine of Innovation
8 April 2014Copyright © 2014 by Dennis A. Nagy 8
Greg Schroeder
Senior Research Engineer
Center for Automotive Research (CAR)
Ann Arbor, MI, USA
March 25, 2014
What are the Obstacles to More Engineers Making
More “Effective” Use of Engineering Simulation?
 Despite simulation’s success so far, there are still key
obstacles
 The majority of practicing engineers do not use simulation
(spreadsheets don’t count )
 Users and potential users of simulation encounter three main
obstacles:
1. Cost of simulation software
2. Cost of adequate computer hardware to run it on
Budget justification of both is “chicken and egg”
3. Enough knowledge/expertise to use today’s generation of
engineering simulation software “effectively” (or even at all)
 …but this is a topic for a whole different presentation
8 April 2014Copyright © 2014 by Dennis A. Nagy 9
Here is where
“The Cloud”
comes in
What is “The Cloud”?
 Wikipedia:
 In common usage, the term "the cloud" is essentially a metaphor for the
Internet.[2] Marketers have further popularized* (hyped?) the phrase
"in the cloud" to refer to software, platforms and infrastructure that
are sold "as a service", i.e. remotely through the Internet.
 “Cloud computing is the next stage in the Internet's evolution…”
 NetLingo:
 A style of computing in which dynamic, scalable and virtual resources
are provided over the Internet. Cloud computing refers to services that
provide common business applications online, which are
accessed from a Web browser, while the software and data are
stored on the servers.
 In other words, access to both computer power and data storage
capacity remotely via the Internet (browser or very thin client user
interface)
 HPC (“high”-performance computing)  HPCC
 “Big Data”
8 April 2014Copyright © 2014 by Dennis A. Nagy 10
What is “The Cloud”?
NIST’s 7-Page “Definitive” Answer and Recommendations
(2011-12)
8 April 2014Copyright © 2014 by Dennis A. Nagy 11
“Cloud computing is a model for
enabling ubiquitous, convenient,
on-demand network access to a
shared pool of configurable
computing resources (e.g.,
networks, servers, storage,
applications, and services) that
can be rapidly provisioned and
released with minimal
management effort or service
provider interaction. This cloud
model is composed of five
essential characteristics, three
service models, and four
deployment models.” (Excerpt)
Public vs. Private Clouds
 PUBLIC CLOUD:
 All infrastructure components — including servers — are shared among clients
 Potential contention for server resources
 Lower cost than virtual private cloud
 VIRTUAL PRIVATE CLOUD:
 Servers dedicated to an enterprise
 Offers greater control, security, and application performance than public cloud
 Higher cost than public cloud
“Either one of these models [owned/operated by a 3rd party] is less expensive than building
your own or another type of infrastructure service.”
-- Lynda Stadtmueller, Program Director, Cloud Computing, Frost & Sullivan
 ACTUAL PRIVATE CLOUD:
 Your company owns/leases the hardware, too, and your I.T. Department makes it look like “A
Cloud” to you, the end-user (browser-base access, no need to understand what’s behind the
curtain) but it resides inside your Firewall.
 This may be cost-competitive with “external” Clouds, if there is enough demand/use. The key
here is “looks like a Cloud” = browser-based ease-of-use.
8 April 2014Copyright © 2014 by Dennis A. Nagy 12
Potential Benefits of The Cloud
for Engineering Simulation
 When software and hardware access is priced
“appropriately,” both overflow needs and new-user needs
can be met incrementally (“by the drink”)
 More realistic, affordable business model for small and
medium businesses/enterprises (SMB/SME) …“The missing
middle”
 More streamlined user access/experience, to allow engineers
to focus on engineering instead of I.T. details
 “Overflow” vs. “replacement of in-house I.T.
infrastructure by Cloud (=3rd-party remote) service
providers is a separate debate/discussion (not here)
8 April 2014Copyright © 2014 by Dennis A. Nagy 13
Potential Benefits of The Cloud
for Engineering Simulation
 There are many articles and white papers
 Last month: results of a LinkedIn user’s ad-hoc survey of
top benefits:
 (go to LinkedIn’s “Cloud Computing, SaaS & Virtualization Group” for more detailed
discussions)
1. (18 votes) - no barrier (cost) to entry / capex vs opex
2. (13 votes) - elasticity / flexibility / agility
3. (3 way tie with 12 votes each) - on demand / pay per use / pay as
you go, time to market, and scalability
4. (5 votes) - self service / services / API / tools
5. (2 way tie with 4 votes each) - availability / fault tolerance, and
real-estate / location benefits / anywhere access
6. (4 way tie with 2 votes each) - risk management, security,
reduced hardware dependencies / mobility, and automation
8 April 2014Copyright © 2014 by Dennis A. Nagy 14
The Main Layers of The Cloud
8 April 2014Copyright © 2014 by Dennis A. Nagy 15
“Cloud computing
specifically refers to
incorporating
software as a service
(SaaS), platform as a
service (PaaS), and
infrastructure as a
service (IaaS). Users
do not need to have
knowledge of,
expertise in, or
control over the
technology
infrastructure in the
"cloud" that supports
them. “
-NetLingo
(From Frost & Sullivan)
The Main Layers of The Cloud
8 April 2014Copyright © 2014 by Dennis A. Nagy 16
SaaS: Further Refinement
 Common user interface/GUI as a service
 Compute modules (batch “solvers”) as a service
 This is relevant because it’s mainly (but not exclusively) the
number-crunching that can take most advantage of “Big Compute”
infrastructure (HPCaaS) to handle larger problems and run them
faster
 Interactive vs. batch Cloud services
 “where is the “pre/post-processing” done?
 Cost and speed of data transmission to/from The Cloud
 Visualization from The Cloud (pushing only pixels)
8 April 2014Copyright © 2014 by Dennis A. Nagy 17
Gartner’s Magic Quadrant for IaaS
8 April 2014Copyright © 2014 by Dennis A. Nagy 18
“I believe this chart is the most important
chart in enterprise IT. It covers the new
trend of IaaS, where instead of buying
storage, operating systems, deployed
applications, and other infrastructure,
enterprises rent these products from
vendors in a low risk pay-as-you-go
system. It is a new way of doing
enterprise computing …Computing
infrastructure is the $150B a year “Big
Kahuna”, where all the money changes
hands, and where companies from
Microsoft, to IBM to HP make all their
profits. … if IaaS becomes the dominant
computing model, Amazon Web
Services is the only possible winner “ *
– Rory O’Driscoll, Partner at SCALE Venture
Partners, October 31, 2013
* $250B + for Cloud architecture/infrastructure by 2017?
So where is Google?
“…this market is highly competitive, and
that the situation may change very fast.”
The Cloud Marketplace is Big
8 April 2014Copyright © 2014 by Dennis A. Nagy 19
February 2014
8 April 2014Copyright © 2014 by Dennis A. Nagy 20
SimScale/AWS
Ciespace
Nimbis Services
AWS
Rescale
Cycle Computing
Nimbix
Sabalcore
CloudBroker GmbH
CPU 24/7
CPUsage
TotalCAE
AWS
HP
SGI Cyclone
Microsoft Azure
Gompute/Gridcore
Outscale
Autodesk
OCF enCORE (Hartree)
Fujitsu TC Cloud
Altair HWOD
Bull
Penguin OD
IBM
NCMS
Ohio SC - AweSim
CESGA (Spain)
SICOS/HLRS
HSRapperswil
FCSCL
San Diego SC
Nonprofit
(gov./universities)
CommercialCloudVendors
SaaSPaaSIaaS
Engineering Simulation (CAE):
Relevant Cloud Players
8 April 2014Copyright © 2014 by Dennis A. Nagy 21
8 April 2014Copyright © 2014 by Dennis A. Nagy 22
Vendors:
Company Software
SimScale/AWS
Ciespace
NimbisServices
AWS
Rescale*
CycleComputing
Nimbix
Sabalcore
CloudBrokerGmbH
CPU24/7
CPUsage
TotalCAE
AWS
HP
SGICyclone
MicrosoftAzure
Gompute/Gridcore
Outscale
Autodesk
OCFenCORE(Hartree)
FujitsuTCCloud
AltairHWOD
Bull
PenguinOD
IBM
NCMS
OhioSC-AweSim
CESGA(Spain)
SICOS/HLRS
HSRapperswil
FCSCL
SanDiegoSC
proprietary
AltairHWUA
MCAE:
Autodesk SIM 360 x x
ANSYS ANSYS-Mechanical x x x x x x x x x x x x x x
ANSYS Fluent x x x x x
COMSOL Multiphysics x x
Mathworks MATLAB/SIMULINK x x x x
Siemens PLM NX CAE x
DS/Simulia Abaqus x x x x x x x x x
CD-adapco Star-CCM+ x x x x x x x x
Livermore Softw. LS/Dyna x x x x x
MSC MSC.NASTRAN x x
MSC MSC.MARC x x
Exa PowerFlow
Convergent Converge x
ESI OpenFOAM x x x x x x x x x x x x
ESI CFD-ACE+ x
AVL AVL/Fire x
Cambridge Flow BOXERMesh x
Ciespace/CMU BubbleMesh x x
NASA CFL3D x
Friendship Systems Framework x
VR&D Genesys x
Fidesys Fidesys x
Altair Hyperworks x x x
Altair AcuSolve x x x x x
NUMECA Turbo-fine x
FluiDyna Culises x
FluiDyna LBultra x
Metacomp CFD++
Stanford U. SD++
Applied Math M. CoolSim x
MTU Aero CalculiX x
TotalCAE Portal x x
CSC-Finland Elmer x x
TESIS FlowVision x x
ECAE/EDA:
CST Microwave Studio x
ANSYS HFSS x
ANSYS SI-Wave x
Synopsys VCS x
Mentor HyperLynx SI x
CST Studio Suite x x
PaaS
(vendor-publicized or 3rd-party published information)
SaaS (government/universities)IaaS
Matrix of CAE Vendors and Cloud Providers (partial-work in progress)
Commercial Cloud Vendors Nonprofit In-house
I.T.
This is NOT an eye test!
Cloud-Related Efforts to Reach the
“Missing Middle” SMEs/SMBs
8 April 2014Copyright © 2014 by Dennis A. Nagy 23
Brief overview here:
go to The UberCloud website (click
on logo) for more details
Go to websites (click on logos) for
information
TheUberCloud HPC Experiment:
An open voluntary collaborative community
Objective:
Making HPC as a Service available, for everybody, on
demand
How?
For SMEs and their engineering applications
to explore the end-to-end process
of using remote computing resources,
as a service, on demand, at your finger tips,
and learning how to resolve the roadblocks.
248 April 2014Copyright © 2014 by Dennis A. Nagy
Progress with the Experiment
 Started August 2012: today (April 2014) ~1300
registered organizations and individuals
 Participants are from 48 countries
 Round 5 started February 1, 2014: ~25-30 new teams
 140+ teams have been formed in Rounds 1-5
 Registration at:
www.hpcexperiment.com
www.cfdexperiment.com
www.compbioexperiment.com
www.bigdataexperiment.com
258 April 2014Copyright © 2014 by Dennis A. Nagy
The importance of teamwork
UberCloud Poll about Roadblocks
The UberCloud, June 13, 2013—but generally still true now
268 April 2014Copyright © 2014 by Dennis A. Nagy
Cloud Security/Privacy: An Issue?
 Security and privacy are in the eye of the beholder
 Major Cloud datacenters and hosting are well aware of these issues and
have good technical and legal security/privacy infrastructure
 Many “in-house” users of software and Internet access are not aware of
how (in)secure and exposed their data and computing really is
 “The NSA has/sees everything anyway” 
 not really a joke for non-U.S. users/prospects for U.S.-based Cloud data
providers
 Autodesk whitepaper:
 Autodesk®360: Work Wherever You Are – Safely
 “With over 10 years of experience providing cloud-based solutions,
Autodesk knows that data security is critical to your success.”
8 April 2014Copyright © 2014 by Dennis A. Nagy 27
Major Technical Hurdles Encountered
 Downloading speed of large results files for local
visualization
 Remote Visualization of results
 General-purpose remote visualization tools
 The “last mile” situation
 Pixel-pushing and the speed of light
 Complicated, non-intuitive Cloud access mechanisms
& details (ports, files,…)
8 April 2014Copyright © 2014 by Dennis A. Nagy 28
More Details on the
25 Best Teams So Far (Rounds 1 & 2)
 UberCloud HPC Experiment Compendium
 25 selected use-cases from 60 teams in Rounds 1 & 2
 Sponsored by Intel’s HPC Organization
298 April 2014Copyright © 2014 by Dennis A. Nagy
The Value of Use-Case Studies:
Next UberCloud TechTalk Webcast
 Wednesday, May 7th
 8:00 – 9:00 AM PDT
 Join the UberCloud for a one hour free
webinar to learn how HPC Experiment
Team 8 used ANSYS in the Cloud for a
flash dryer simulation with hot gas
used to evaporate water from a solid.
 Please register for this
UberCloud TechTalk here.
8 April 2014Copyright © 2014 by Dennis A. Nagy 30
Flash dryer simulation with ANSYS in the Cloud
Further Cloud-Simulation Relevant Information
in LinkedIn Group Discussions
 New Trends in CAE Simulation
 The Cloud: What does it mean for software re-sellers?
 Software Licensing in the Cloud
 CFD/CAE software on Amazon Web Service (AWS) cloud
 The UberCloud invites you to a free experiment with
Autodesk Sim 360 in the Cloud
 2013, Marked by Cloud and Changing Licensing Methods
 Why the CAE in cloud not picking up ?
 Engineering Simulation (CAE) in "The Cloud"?
 Cloud Computing, SaaS & Virtualization
 What are the top 3 benefits of cloud computing?
 Complete Collection of Articles on Hybrid Cloud by Industry
Experts
 Welcome to the cloud price wars
8 April 2014Copyright © 2014 by Dennis A. Nagy 31
The Cloud as a Utility: Future Vision
 The toaster analogy (today):
 The engineer using The Cloud
(in the future):
8 April 2014Copyright © 2014 by Dennis A. Nagy 32
8 April 2014Copyright © 2014 by Dennis A. Nagy 33
“Sometimes, it’s hard to tell when a novelty becomes a trend or a trend becomes the
new normal. This is not one of those times. The era of the on-premise server is
clearly behind us, with the cusp of change literally on our calendars.”
--Peter Coffee, Salesforce.com March 29, 2014
The Cloud is Coming to Engineering Simulation (or vice-versa):
It’s Only a Question of How Rapidly
PDF copies of these slides (with active hyperlinks) available from
TheUberCloud: www.TheUberCloud.com
or from me at:
34
Dennis.Nagy@BeyondCAE.com
8 April 2014Copyright © 2014 by Dennis A. Nagy

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Engineering Simulation Meets the Cloud

  • 1. Dr. Dennis Nagy, BeyondCAE April 8, 2014 8:00 AM PDT, 11:00 AM EDT, 17:00 CET • * Engineering Simulation Veteran’s Series, Parts 1 and 2: • “Where We Are and How We Got Here,” and • “Where Are We Going? were webcast on February 12th and 25th, 2014, respectively. • Slides and recorded versions of both webcasts are available at www.TheUberCloud.com Engineering Simulation Meets The Cloud: Current Status and Future Prospects
  • 2. The Full Abstract (for reference only)  The Cloud is all the rage for the past couple of years and shows no signs of reduced hype any time soon. What is “The Cloud?” There are many evolving viewpoint-centric definitions, which make it even harder to separate the wheat from the chaff (remember the World-Wide Web run-up to the dot.com bubble burst in the late 1990s?). This presentation will provide an overview of the Cloud- relevant concepts and terminology, and their evolving practical implementations, from an engineering simulation software viewpoint, covering HPC, Big Data, IaaS, PaaS, SaaS,…(had enough already?). Beyond all these vendor/I.T.-driven concepts and viewpoints, what are product/process development engineers and their employer enterprises actually trying to accomplish more effectively? How does The Cloud fit in now and, more importantly, for the near future.  Special emphasis will be given to how small and medium enterprises’ (SME’s—the under-served “missing middle”) engineering needs are starting to be met by Cloud-related simulation access opportunities. Computer hardware vendors seem to be leading the Cloud wave in general, but major simulation software vendors are quite varied in their articulated Cloud strategies and implementations so far, which has partly given rise to CAE-oriented start-ups emerging with a Cloud-based value proposition. The UberCloud’s impressive success to date will be summarized as one example of how simulation software vendors, hardware resource providers, engineering end users, and HPC experts are combining their time and interests, on a (so far) voluntary basis to discover, understand, and overcome the practical hurdles in conducting industry-useful engineering simulations in The Cloud. 8 April 2014Copyright © 2014 by Dennis A. Nagy 2
  • 3. Topics: Questions to Answer  At whom is this presentation targeted?  What are engineers actually doing?  How does Engineering Simulation (CAE) help them do it “better”?  What are the obstacles to more engineers making more “effective” use of Engineering Simulation?  What is “The Cloud”?  Current Status of Engineering Simulation in “The Cloud”  Future prospects for better engineering via prudent use of “The Cloud”  The role of The UberCloud HPC Experiment 8 April 2014Copyright © 2014 by Dennis A. Nagy 3
  • 4. Who Am I? 48 April 2014Copyright © 2014 by Dennis A. Nagy A broad expert in engineering simulation (CAE), over 42 years of experience: from R&D, university teaching, through commercial software development, support, sales and marketing management, to executive management. • Former Sr. VP of worldwide Sales at MSC.Software • CEO of Engineous (now part of DS/SIMULIA) • VP of Marketing and Business Development at CD-adapco • VP of Marketing and Asia-Pacific at Fluent (now part of ANSYS) • VP of International Business, Blue Ridge Numerics (now part of Autodesk) Currently Principal at BeyondCAE, a global strategy and business development consulting activity located in Chapel Hill, NC, USA. Mentor, TheUberCloud HPC Experiment Member of the NAFEMS Americas Steering Committee
  • 5. At Whom is this Presentation Targeted?  I have spent almost all my career on the vendor (ISV) side  However, there are plenty of sources of vendor (Cloud and ISV) views on “how The Cloud does something beneficial for (fill in the blank)”  So I am trying to look at this topic from the engineering end- user/management viewpoint and provide some introduction for that audience to navigating the Cloud opportunities and hype. 8 April 2014Copyright © 2014 by Dennis A. Nagy 5 INNOVATION
  • 6. Back to Basics: What Are Engineers Actually Doing?  Engineers are developing (”designing” in a physical/functional sense) products, systems, and processes to meet (or even exceed!) a set of captured and understood requirements  The functional requirements involve the expected physical behavior of what is being developed  Anything that will assist engineers (and their corporate management) in judging whether requirements will be met is helpful  The “Design-Build (physical prototypes)-Test-Modify” workflow cycle has been more and more supplemented/replaced by Engineering Simulation 8 April 2014Copyright © 2014 by Dennis A. Nagy 6
  • 7. How Does Engineering Simulation (CAE) Help Engineers Do Their Work “Better”?  Provides the possibility of examining the functional behavior of product/process designs much earlier and more quickly than physical prototype testing  Can allow engineers to gain further functional insight (the “aha” moments) and try more (and more radical “outside the box”) ideas during development and/or allow for a significant speed-up in the development cycle (freedom to trade off) IF …the simulations are “realistic enough” and “fast enough” (joint judgment call by development engineers, simulation experts, and management)  Engineering Simulation has reached this “if” milestone in many major industries and larger manufacturing companies today 8 April 2014Copyright © 2014 by Dennis A. Nagy 7
  • 8. Advanced Information Technology Solutions: An Engine of Innovation 8 April 2014Copyright © 2014 by Dennis A. Nagy 8 Greg Schroeder Senior Research Engineer Center for Automotive Research (CAR) Ann Arbor, MI, USA March 25, 2014
  • 9. What are the Obstacles to More Engineers Making More “Effective” Use of Engineering Simulation?  Despite simulation’s success so far, there are still key obstacles  The majority of practicing engineers do not use simulation (spreadsheets don’t count )  Users and potential users of simulation encounter three main obstacles: 1. Cost of simulation software 2. Cost of adequate computer hardware to run it on Budget justification of both is “chicken and egg” 3. Enough knowledge/expertise to use today’s generation of engineering simulation software “effectively” (or even at all)  …but this is a topic for a whole different presentation 8 April 2014Copyright © 2014 by Dennis A. Nagy 9 Here is where “The Cloud” comes in
  • 10. What is “The Cloud”?  Wikipedia:  In common usage, the term "the cloud" is essentially a metaphor for the Internet.[2] Marketers have further popularized* (hyped?) the phrase "in the cloud" to refer to software, platforms and infrastructure that are sold "as a service", i.e. remotely through the Internet.  “Cloud computing is the next stage in the Internet's evolution…”  NetLingo:  A style of computing in which dynamic, scalable and virtual resources are provided over the Internet. Cloud computing refers to services that provide common business applications online, which are accessed from a Web browser, while the software and data are stored on the servers.  In other words, access to both computer power and data storage capacity remotely via the Internet (browser or very thin client user interface)  HPC (“high”-performance computing)  HPCC  “Big Data” 8 April 2014Copyright © 2014 by Dennis A. Nagy 10
  • 11. What is “The Cloud”? NIST’s 7-Page “Definitive” Answer and Recommendations (2011-12) 8 April 2014Copyright © 2014 by Dennis A. Nagy 11 “Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models.” (Excerpt)
  • 12. Public vs. Private Clouds  PUBLIC CLOUD:  All infrastructure components — including servers — are shared among clients  Potential contention for server resources  Lower cost than virtual private cloud  VIRTUAL PRIVATE CLOUD:  Servers dedicated to an enterprise  Offers greater control, security, and application performance than public cloud  Higher cost than public cloud “Either one of these models [owned/operated by a 3rd party] is less expensive than building your own or another type of infrastructure service.” -- Lynda Stadtmueller, Program Director, Cloud Computing, Frost & Sullivan  ACTUAL PRIVATE CLOUD:  Your company owns/leases the hardware, too, and your I.T. Department makes it look like “A Cloud” to you, the end-user (browser-base access, no need to understand what’s behind the curtain) but it resides inside your Firewall.  This may be cost-competitive with “external” Clouds, if there is enough demand/use. The key here is “looks like a Cloud” = browser-based ease-of-use. 8 April 2014Copyright © 2014 by Dennis A. Nagy 12
  • 13. Potential Benefits of The Cloud for Engineering Simulation  When software and hardware access is priced “appropriately,” both overflow needs and new-user needs can be met incrementally (“by the drink”)  More realistic, affordable business model for small and medium businesses/enterprises (SMB/SME) …“The missing middle”  More streamlined user access/experience, to allow engineers to focus on engineering instead of I.T. details  “Overflow” vs. “replacement of in-house I.T. infrastructure by Cloud (=3rd-party remote) service providers is a separate debate/discussion (not here) 8 April 2014Copyright © 2014 by Dennis A. Nagy 13
  • 14. Potential Benefits of The Cloud for Engineering Simulation  There are many articles and white papers  Last month: results of a LinkedIn user’s ad-hoc survey of top benefits:  (go to LinkedIn’s “Cloud Computing, SaaS & Virtualization Group” for more detailed discussions) 1. (18 votes) - no barrier (cost) to entry / capex vs opex 2. (13 votes) - elasticity / flexibility / agility 3. (3 way tie with 12 votes each) - on demand / pay per use / pay as you go, time to market, and scalability 4. (5 votes) - self service / services / API / tools 5. (2 way tie with 4 votes each) - availability / fault tolerance, and real-estate / location benefits / anywhere access 6. (4 way tie with 2 votes each) - risk management, security, reduced hardware dependencies / mobility, and automation 8 April 2014Copyright © 2014 by Dennis A. Nagy 14
  • 15. The Main Layers of The Cloud 8 April 2014Copyright © 2014 by Dennis A. Nagy 15 “Cloud computing specifically refers to incorporating software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Users do not need to have knowledge of, expertise in, or control over the technology infrastructure in the "cloud" that supports them. “ -NetLingo (From Frost & Sullivan)
  • 16. The Main Layers of The Cloud 8 April 2014Copyright © 2014 by Dennis A. Nagy 16
  • 17. SaaS: Further Refinement  Common user interface/GUI as a service  Compute modules (batch “solvers”) as a service  This is relevant because it’s mainly (but not exclusively) the number-crunching that can take most advantage of “Big Compute” infrastructure (HPCaaS) to handle larger problems and run them faster  Interactive vs. batch Cloud services  “where is the “pre/post-processing” done?  Cost and speed of data transmission to/from The Cloud  Visualization from The Cloud (pushing only pixels) 8 April 2014Copyright © 2014 by Dennis A. Nagy 17
  • 18. Gartner’s Magic Quadrant for IaaS 8 April 2014Copyright © 2014 by Dennis A. Nagy 18 “I believe this chart is the most important chart in enterprise IT. It covers the new trend of IaaS, where instead of buying storage, operating systems, deployed applications, and other infrastructure, enterprises rent these products from vendors in a low risk pay-as-you-go system. It is a new way of doing enterprise computing …Computing infrastructure is the $150B a year “Big Kahuna”, where all the money changes hands, and where companies from Microsoft, to IBM to HP make all their profits. … if IaaS becomes the dominant computing model, Amazon Web Services is the only possible winner “ * – Rory O’Driscoll, Partner at SCALE Venture Partners, October 31, 2013 * $250B + for Cloud architecture/infrastructure by 2017? So where is Google? “…this market is highly competitive, and that the situation may change very fast.”
  • 19. The Cloud Marketplace is Big 8 April 2014Copyright © 2014 by Dennis A. Nagy 19 February 2014
  • 20. 8 April 2014Copyright © 2014 by Dennis A. Nagy 20 SimScale/AWS Ciespace Nimbis Services AWS Rescale Cycle Computing Nimbix Sabalcore CloudBroker GmbH CPU 24/7 CPUsage TotalCAE AWS HP SGI Cyclone Microsoft Azure Gompute/Gridcore Outscale Autodesk OCF enCORE (Hartree) Fujitsu TC Cloud Altair HWOD Bull Penguin OD IBM NCMS Ohio SC - AweSim CESGA (Spain) SICOS/HLRS HSRapperswil FCSCL San Diego SC Nonprofit (gov./universities) CommercialCloudVendors SaaSPaaSIaaS Engineering Simulation (CAE): Relevant Cloud Players
  • 21. 8 April 2014Copyright © 2014 by Dennis A. Nagy 21
  • 22. 8 April 2014Copyright © 2014 by Dennis A. Nagy 22 Vendors: Company Software SimScale/AWS Ciespace NimbisServices AWS Rescale* CycleComputing Nimbix Sabalcore CloudBrokerGmbH CPU24/7 CPUsage TotalCAE AWS HP SGICyclone MicrosoftAzure Gompute/Gridcore Outscale Autodesk OCFenCORE(Hartree) FujitsuTCCloud AltairHWOD Bull PenguinOD IBM NCMS OhioSC-AweSim CESGA(Spain) SICOS/HLRS HSRapperswil FCSCL SanDiegoSC proprietary AltairHWUA MCAE: Autodesk SIM 360 x x ANSYS ANSYS-Mechanical x x x x x x x x x x x x x x ANSYS Fluent x x x x x COMSOL Multiphysics x x Mathworks MATLAB/SIMULINK x x x x Siemens PLM NX CAE x DS/Simulia Abaqus x x x x x x x x x CD-adapco Star-CCM+ x x x x x x x x Livermore Softw. LS/Dyna x x x x x MSC MSC.NASTRAN x x MSC MSC.MARC x x Exa PowerFlow Convergent Converge x ESI OpenFOAM x x x x x x x x x x x x ESI CFD-ACE+ x AVL AVL/Fire x Cambridge Flow BOXERMesh x Ciespace/CMU BubbleMesh x x NASA CFL3D x Friendship Systems Framework x VR&D Genesys x Fidesys Fidesys x Altair Hyperworks x x x Altair AcuSolve x x x x x NUMECA Turbo-fine x FluiDyna Culises x FluiDyna LBultra x Metacomp CFD++ Stanford U. SD++ Applied Math M. CoolSim x MTU Aero CalculiX x TotalCAE Portal x x CSC-Finland Elmer x x TESIS FlowVision x x ECAE/EDA: CST Microwave Studio x ANSYS HFSS x ANSYS SI-Wave x Synopsys VCS x Mentor HyperLynx SI x CST Studio Suite x x PaaS (vendor-publicized or 3rd-party published information) SaaS (government/universities)IaaS Matrix of CAE Vendors and Cloud Providers (partial-work in progress) Commercial Cloud Vendors Nonprofit In-house I.T. This is NOT an eye test!
  • 23. Cloud-Related Efforts to Reach the “Missing Middle” SMEs/SMBs 8 April 2014Copyright © 2014 by Dennis A. Nagy 23 Brief overview here: go to The UberCloud website (click on logo) for more details Go to websites (click on logos) for information
  • 24. TheUberCloud HPC Experiment: An open voluntary collaborative community Objective: Making HPC as a Service available, for everybody, on demand How? For SMEs and their engineering applications to explore the end-to-end process of using remote computing resources, as a service, on demand, at your finger tips, and learning how to resolve the roadblocks. 248 April 2014Copyright © 2014 by Dennis A. Nagy
  • 25. Progress with the Experiment  Started August 2012: today (April 2014) ~1300 registered organizations and individuals  Participants are from 48 countries  Round 5 started February 1, 2014: ~25-30 new teams  140+ teams have been formed in Rounds 1-5  Registration at: www.hpcexperiment.com www.cfdexperiment.com www.compbioexperiment.com www.bigdataexperiment.com 258 April 2014Copyright © 2014 by Dennis A. Nagy The importance of teamwork
  • 26. UberCloud Poll about Roadblocks The UberCloud, June 13, 2013—but generally still true now 268 April 2014Copyright © 2014 by Dennis A. Nagy
  • 27. Cloud Security/Privacy: An Issue?  Security and privacy are in the eye of the beholder  Major Cloud datacenters and hosting are well aware of these issues and have good technical and legal security/privacy infrastructure  Many “in-house” users of software and Internet access are not aware of how (in)secure and exposed their data and computing really is  “The NSA has/sees everything anyway”   not really a joke for non-U.S. users/prospects for U.S.-based Cloud data providers  Autodesk whitepaper:  Autodesk®360: Work Wherever You Are – Safely  “With over 10 years of experience providing cloud-based solutions, Autodesk knows that data security is critical to your success.” 8 April 2014Copyright © 2014 by Dennis A. Nagy 27
  • 28. Major Technical Hurdles Encountered  Downloading speed of large results files for local visualization  Remote Visualization of results  General-purpose remote visualization tools  The “last mile” situation  Pixel-pushing and the speed of light  Complicated, non-intuitive Cloud access mechanisms & details (ports, files,…) 8 April 2014Copyright © 2014 by Dennis A. Nagy 28
  • 29. More Details on the 25 Best Teams So Far (Rounds 1 & 2)  UberCloud HPC Experiment Compendium  25 selected use-cases from 60 teams in Rounds 1 & 2  Sponsored by Intel’s HPC Organization 298 April 2014Copyright © 2014 by Dennis A. Nagy
  • 30. The Value of Use-Case Studies: Next UberCloud TechTalk Webcast  Wednesday, May 7th  8:00 – 9:00 AM PDT  Join the UberCloud for a one hour free webinar to learn how HPC Experiment Team 8 used ANSYS in the Cloud for a flash dryer simulation with hot gas used to evaporate water from a solid.  Please register for this UberCloud TechTalk here. 8 April 2014Copyright © 2014 by Dennis A. Nagy 30 Flash dryer simulation with ANSYS in the Cloud
  • 31. Further Cloud-Simulation Relevant Information in LinkedIn Group Discussions  New Trends in CAE Simulation  The Cloud: What does it mean for software re-sellers?  Software Licensing in the Cloud  CFD/CAE software on Amazon Web Service (AWS) cloud  The UberCloud invites you to a free experiment with Autodesk Sim 360 in the Cloud  2013, Marked by Cloud and Changing Licensing Methods  Why the CAE in cloud not picking up ?  Engineering Simulation (CAE) in "The Cloud"?  Cloud Computing, SaaS & Virtualization  What are the top 3 benefits of cloud computing?  Complete Collection of Articles on Hybrid Cloud by Industry Experts  Welcome to the cloud price wars 8 April 2014Copyright © 2014 by Dennis A. Nagy 31
  • 32. The Cloud as a Utility: Future Vision  The toaster analogy (today):  The engineer using The Cloud (in the future): 8 April 2014Copyright © 2014 by Dennis A. Nagy 32
  • 33. 8 April 2014Copyright © 2014 by Dennis A. Nagy 33 “Sometimes, it’s hard to tell when a novelty becomes a trend or a trend becomes the new normal. This is not one of those times. The era of the on-premise server is clearly behind us, with the cusp of change literally on our calendars.” --Peter Coffee, Salesforce.com March 29, 2014 The Cloud is Coming to Engineering Simulation (or vice-versa): It’s Only a Question of How Rapidly
  • 34. PDF copies of these slides (with active hyperlinks) available from TheUberCloud: www.TheUberCloud.com or from me at: 34 Dennis.Nagy@BeyondCAE.com 8 April 2014Copyright © 2014 by Dennis A. Nagy