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IDC HPC Update at ISC’15
Earl Joseph – ejoseph@idc.com
Bob Sorensen– rsorensen@idc.com
Lloyd Cohen – lcohen@idc.com
Steve Conway – sconway@idc.com
IDC Has Over 1,000 Analysts In 62 Countries
IDC’s HPC Team
 Earl Joseph
IDC HPC research studies, HPC
User Forum
 Steve Conway
Strategic consulting, HPC User
Forum, market trends, Big Data
 Bob Sorensen
Strategic research projects,
government studies and
international analysis
 Lloyd Cohen
HPC data and workstations
 Mike Thorp and Kurt Gantrish
Government account support
and special projects
 Mary Rolph
HPC User Forum conference
planning and logistics
About IDC: IDC HPC Activities
• Track all HPC servers sold each quarter
• 4 HPC User Forum meetings each year
• Publish 85 plus research reports each year
• Visit all major supercomputer sites & write reports
• Assist in collaborations between buyers/users and vendors
• Assist governments in HPC plans, strategies and direction
• Assist buyers/users in planning and procurements
• Maintain 5 year forecasts in many areas/topics
• New: Developing a worldwide ROI measurement system
• New: HPDA program
• New: Quarterly tracking of GPUs/accelerators
Agenda
1. HPC Market Update
2. The HPC Market in Europe
3. HPDA Update: Where Big Data Meets HPC
4. IDC ROI Research Update
5. HPC User Forum Update
6. IDC HPC Innovation Program Update
7. Conclusions
CHECK OUT OUR WEB SITE:
www.hpcuserforum.com
Important Dates For Your Calendar
2015 HPC USER FORUM MEETINGS:
• Broomfield, Colorado
Location: Omni Interlocken
September 8-10, 2015
• Paris -- Institute of Earth Physics of Paris
Host: GENCI
October 12-13, 2015
• Munich -- Leibniz Rechenzentrum
Host: LRZ
October 15-16, 2015
HPC
Market Update
Top Trends in HPC
2014 ended soft, after a number of very strong years
• Top5 system purchases has slowed for ~2 years
• The IBM/Lenovo deal delayed many purchases
• 2014 was basically flat with 2013 ($10.2 billion in 2014
vs. $10.3 billion in 2013)
• 2015 to 2018 are predicted to be healthy growth years
Big data combined with HPC is creating new solutions
• Adding many new users/buyers to the HPC space
Software Issues continue to grow
GPUs & accelerators extend their impact
Top Trends in HPC
Top Trends in HPC:
Growing Use of Clouds
Top Trends in HPC:
Growing Use of Clouds
Top Trends in HPC:
Evolving Issues On Our Minds
Non-x86 processors could alter the landscape
• ARM, Power, others
• Coprocessors, GPUs, FPGAs
China looms large(r)
• Lenovo, growing domestic market, export intentions
• Other Chinese vendors are planning to extend to
Europe
Growing influence of the data center in IT food chain
• Impact on HPC technology options
• Perhaps providing new approaches?
HPC in the Cloud Gaining Traction
• How much, how soon?
Top Trends in HPC:
HPC Storage
 Storage is the fastest-growing part of the HPC market
 HPC storage revenue will grow to record levels
 The HPC storage market remains fragmented
 The big players are turning their attention to this market
 The HPC interconnect market is in transition
 Data movement/management is a major pain point
• Multi-year shift away from today’s extreme compute-centrism
• Many buyers still not savvy enough about purchasing storage
 HPDA will boost storage budgets
© IDC Visit us at IDC.com and follow us on Twitter: @IDC
IDC HPC Competitive Segments: 2014
Departmental
($250K - $100K)
$3.83B
Divisional
($250K - $500K)
$1.52B
Supercomputers
(Over $500K)
$3.15B
Workgroup
(under $100K)
$1.72B
HPC
Servers
$10.2B
2014 HPC Revenue Results
HPC Revenues: By Vendor
2014 Revenue Share by Vendor:
Supercomputer Segment ($500K+)
© IDC Visit us at IDC.com and follow us on Twitter: @IDC
2014 HPC Market: By Industry/Applications
HPC
Market Forecasts
HPC Forecasts
• Forecasting a 8.2% yearly growth from 2014 to 2019
• 2019 should reach $15.2 billion
The Broader HPC Market
European
HPC Directions
The HPC Market In Europe: Revenues
The HPC Market In Europe: Processors
The HPC Market In Europe: By Workloads
The HPC Market In Europe: The Broader
Market
The HPC Market In Europe: By Country
IDC Is Completing a New Study for
the European Commission
The Study Evaluates Progress on the
EU HPC Action Plan Published in 2012
HPDA Update
High Performance Data Analysis
Needs HPC resources
• High complexity (algorithms)
• High time-criticality
• High variability
• (On premise or in cloud)
Data of all kinds
• The 4 V’s: volume, variety, velocity, value
• Structured, unstructured
• Partitionable, non-partitionable
• Regular, irregular patterns
Simulation & analytics
• Search, pattern discovery
• Iterative methods
• Established HPC users + new
commercial users
HPC Adoption Timeline (Examples)
1960 1970 1980 1990 2000 2012
IDC’s HPDA Program
IDC’s HPDA Program:
Example Research Documents
• Supercomputer-Based Analytics Are Starting to Transform Healthcare
• United States Postal Service Turns to HPC for Big Data and Analytics
• High-Performance Data Analytics: Market Status and User Exemplars
• PayPal Says More Fortune 2000 Firms Could Benefit from HPC for Big
Data Analytics
• Market Analysis Perspective: Worldwide High-Performance Data
Analysis, 2014
• NEC's HPC Vision: Bringing Vector Supercomputing to a Broader Data-
Intensive User Base
• Bull Launches an Exascale Program for 2020, But the Vision Extends to
Big Data and Beyond
• Total S.A. Retakes the Lead in Energy Sector Supercomputer Race
• Los Alamos National Laboratory: Seven Decades of Computing
Leadership
• Summary of HPC and HPDA Technology, Development, and
Applications: HPC User Forum, September 15–17, 2014, Seattle,
Washington
• HPC Interconnects: New Options Emerging from a Sector in Transition
IDC’s HPDA Program: Server Forecasts
IDC’s HPDA Program: Four New
Industry/Application Workload Segments
 Fraud and anomaly detection
• This "horizontal" workload segment centers around identifying harmful or potentially
harmful patterns and causes using graph analysis, semantic analysis, or other high
performance analytics techniques.
 Marketing
• This segment covers the use of HPDA to promote products or services, typically
using complex algorithms to discern potential customers' demographics, buying
preferences and habits.
 Business intelligence
• The workload segment uses HPDA to identify opportunities to advance the market
position and competitiveness of businesses, by better understanding themselves,
their competitors, and the evolving dynamics of the markets they participate in.
 Other Commercial HPDA
• This catchall segment includes all commercial HPDA workloads other than the three
just described.
• Over time, IDC expects some of these workloads to become significant enough to
split out, i.e. the use of HPDA to manage large IT infrastructures, and Internet-of-
Things (IoT) infrastructures.
 Note Financial, classified buyers, etc. will continue to be listed under the existing
IDC segments
IDC’s HPDA Program:
New Research Findings
IDC’s HPDA Program:
New Research Findings
Machine Learning/Deep Learning
 Like a game: a goal and rules for reaching it.
 Stage 1: Search
• Computer is given the goal and trained in the rules (e.g.,
Jeopardy Watson).
 Stage 2: Unknown pattern discovery
• Computer is given the goal and has to discover the rules
(e.g., medical Watson, some x86 clusters)
 Stage 3: Cognitive computing/AI
• Computer has to discover the goal and the rules (future).
Machine Learning: Typical Attributes
Mainstream IT Market
 Serial algorithms
 Data scientists acquire
algorithms
 Major data reduction before
analytics (sometimes >99%)
 Not very time-critical
 Public cloud often fine
HPC (HPDA) Market
 Parallel algorithms
 Data scientists create
algorithms
 No big data reduction: high-
resolution results needed
 Very time-critical
 Public cloud often inadequate
Summary: HPDA Market Opportunity
 HPDA: simulation + newer high-
performance analytics
• IDC predicts fast growth from a small
starting point
 HPC and high-end commercial
analytics are converging
• Algorithmic complexity is the common
denominator
 Economically important use cases are
emerging
 No single HPC solution is best for all
problems
IDC ROI Research
Our 3 Year Grant From DOE
Three-Year Research Plan
 2013 pilot study:
 Tested 3 approaches and set the models
 Populated the models with 208 cases of scientific innovation
and industrial ROI (it now exceeds 400)
 Created the innovation index
 Three-year study: sponsored by DOE Science/NNSA
 Refine the models to move from association towards causation
 Collect thousands of cases:
• Dense collection in the U.S.
• Sparser collection elsewhere*
* DOE has asked IDC to invite other countries to participate
The Financial ROI Models
ROI models that have been developed include:
1. ROI based on revenues generated (similar to GDP)
divided by HPC investment
2. ROI based on profits generated (or costs saved)
divided by HPC investment
3. ROI based on jobs created
Two Innovation Index Scales
 How would you rate this innovation compared to all other innovations in this
field over the last ten years?
 Scale One:
 5 = One of the top 2 to 3 innovations in the last decade
 4 = One of the top 5 innovations in the last decade
 3 = One of the top 10 innovations in the last decade
 2 = One of the top 25 innovations in the last decade
 1 = One of the top 50 innovations in the last decade
 Scale Two:
 5 = It had a major impact and is useful to many organizations
 4 = A minor innovation that is useful to many organizations
 3 = A minor innovation useful only to 2 -3 organizations
 2 = A minor innovation useful only to 1 organization
 1 = An innovation that is recognized ONLY by experts in the field
Example Findings: The Financial ROI Model

Example of The ROI Model
www.hpcuserforum.com/ROI
HPC User Forum
Update
HPC User Forum Mission
To Improve the Health of the High
Performance Computing Industry through
Open Discussions, Information-sharing
and Initiatives Involving HPC Users In
Industry, Government and Academia Along
with HPC Vendors and Other Interested
Parties
Steering Committee Members
 Paul Muzio, City University of New York, Chair
 Rupak Biswas, NASA Ames, Vice Chair
 Earl Joseph, Executive Director
 Swamy Akasapu, General Motors
 Vijay Agarwala, Penn State University
 Alex Akkerman, Ford Motor Company
 Doug Ball, HPC expert (formerly Boeing)
 Jeff Broughton. NERSC/Lawrence Berkeley National Lab
 Paul Buerger, Avetec
 Chris Catherasoo, Caltech
 Jack Collins, National Cancer Institute
 Steve Conway, IDC Research Vice President
 Steve Finn, Cherokee Information Services
 Merle Giles, NSCA/University of Illinois
 Keith Gray, British Petroleum
 James Kasdorf, Pittsburgh Supercomputing Center, Chairman
 Doug Kothe, Oak Ridge National Laboratory
 Jysoo Lee, NICN
 Michael Resch , HLRS, University of Stuttgart
 Vince Scarafino, Industry Expert
 Suzy Tichenor, Oak Ridge National Laboratory
50+ Meetings Worldwide Since 2000
 Amsterdam, Netherlands (SARA)
 Annecy, France
 Bangalore, India (Indian Institute
of Technology)
 Beijing, China (Chinese Academy
of Sciences)
 Bologna, Italy (CINECA)
 Bristol, UK
 Bruyères-le-Châtel, France
(Teratec)
 Canberra, Australia
 Geneva, Switzerland (CERN)
 Kobe, Japan (RIKEN)
 Lausanne, Switzerland (EPFL)
 London, UK (Imperial College)
 Manchester, UK (Manchester
University)
 Melbourne, Australia
 New Delhi, India (Indian Institute
of Science)
 Seoul, Korea (National Institute of
Supercomputing & Networking)
 Stuttgart, Germany (HLRS)
 Warsaw, Poland (University of
Warsaw)
 Yokohama, Japan (Earth
Simulator Center)
 Zurich, Switzerland (ETH Zurich)
 United States (many locations)
Recent HPC User Forum Meetings
 2014:
• April: Santa Fe, New Mexico
• July: Kobe, Japan (RIKEN)
• September: Seattle, Washington
• October: Canberra & Melbourne, Australia
• October: Stuttgart, Germany (HLRS)
Future HPC User Forum Meetings
 2015:
• September 8 to 10, Denver, Colorado
• October 12-13. Paris (host: GENCI)
• October 15-16. Munich (host: LRZ)
CHECK OUT OUR NEW WEB SITE:
www.hpcuserforum.com
Updates On The IDC
HPC Innovation Award
HPC Innovation Award Program:
www.hpcuserforum.com/innovationaward
The Trophy For Winners
HPC Innovation Awards for ISC 15
After careful deliberation, IDC’s HPC User Forum Steering
Committee, which serves as the judging panel for the IDC HPC
Innovation Excellence awards, has decided to make no awards for
this round (July 2015).
• Some of the submissions described work that seemed both
important and interesting
• However, none of the submission included information that was
complete enough to permit fair judging.
• IDC has invited them to apply for the fall award.
• To avoid this issue going forward, IDC will be updating the
application process and making the rules/objectives more explicit
and easier to follow.
HPC Award Program Process
The Original Innovation Awards Goals and Objectives:
 Help to expand the use of HPC by showing real ROI examples:
 Expand the “Missing Middle” – SMBs, SMEs, SMSs -- by
providing examples of what can be done with HPC
 Show mainstream and leading edge HPC success stories
 Create a large database of success stories across many
industries/verticals/disciplines
 To help justify investments and show non-users ideas on how
to adopt HPC in their environment
 Creating many examples for funding bodies and politicians to
use and better understand the value of HPC  to help grow
public interest in expanding HPC investments
 For OEMs to demonstrate success stories using their products
HPC Award Program Process
Look for changes to the application process soon:
A new application form better designed to:
 More clearly explain the rules and key data required
 More clearly explain the type of accomplishments that are
desired
 Better accomplish the goals:
• Recognize users and their vendors for major HPC-supported
achievements in industry, government and academia.
• Build a large portfolio of quantified ROI success stories to
strengthen the case for boosting investments in and funding for
HPC.
• Increase HPC adoption by educating the market on its benefits –
using clear and specific ROI examples.
HPC Award Program New Judging Process
A new more timely and interactive multi-step review process
designed to extract the best insights from the base of HPC
submitters:
• Stage 1: Before preliminary deadline, application is submitted using
new form;
• Stage 2: Application is reviewed by a Steering Committee member
and marked ‘Accept, Reject, or Return for Additional Information’;
• Stage 3: When needed, a Steering Committee member will work
with a submitter to assemble needed information;
• Stage 4: Re-worked application is submitted before final deadline.
• Stage 5: Full Steering Committee membership judges applications
Please standby as IDC will soon be issuing new guidance for future
submissions, starting with SC15 in November.
HPC Award Program Submission Form:
www.hpcuserforum.com/innovationaward
In
Summary
Why HPC Is Projected To Grow
1. The low half of the market is finally back to a recovery
mode
2. It has become a competitive weapon
3. Governments view HPC leadership as critical
 For national pride, but more importantly for economic
prosperity
4. There are very critical HPC issues that need to be
solved
 Global warming, alternative energy, safe NE, financial
disaster modeling, healthcare, homeland security, …
 And 3D movies and large scale games are fun
But There are Still Major Customer
Pain Points
Software is the #1 roadblock
• Better management software is needed
• Parallel software is lacking for most users
 Many applications will need a major redesign
Clusters are still hard to use and manage
• System management & growing cluster complexity
• Power, cooling and floor space are major issues
• Third party software costs
• Storage and data management are becoming new bottle necks
• Lack of support for heterogeneous environment and accelerators
ROI is becoming a requirement, especially as system
costs escalate
… Some good news in that there are new technologies in
Big data, accelerators, clouds, etc.
 HPC is still expect to be a strong growth market
• Growing recognition of HPC’s strategic value is helping to drive
high-end sales
• Low-end buyers are back into a growth mode
 Vendor share positions will shift greatly in 2015
 Recognition of HPC’s strategic/economic value will
drive the exascale race
 The formative HPDA market will expand
opportunities for vendors
 The high ROI will drive major segments (finance,
health care)
 China will be a wild card – with the US-China
supercomputer battles
Conclusions
Important Dates For Your Calendar
2015 HPC USER FORUM MEETINGS:
• Broomfield, Colorado
Location: Omni Interlocken
September 8-10, 2015
• Paris -- Institute of Earth Physics of Paris
Host: GENCI
October 12-13, 2015
• Munich -- Leibniz Rechenzentrum
Host: LRZ
October 15-16, 2015
Questions?
ejoseph@idc.com
sconway@idc.com
bsorensen@idc.com
Back-up Slides
An Example: U.S. Postal Service
An Example: U.S. Postal Service
v
MCDB = memory-centric database

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HPC Market Update from IDC

  • 1. IDC HPC Update at ISC’15 Earl Joseph – ejoseph@idc.com Bob Sorensen– rsorensen@idc.com Lloyd Cohen – lcohen@idc.com Steve Conway – sconway@idc.com
  • 2. IDC Has Over 1,000 Analysts In 62 Countries
  • 3. IDC’s HPC Team  Earl Joseph IDC HPC research studies, HPC User Forum  Steve Conway Strategic consulting, HPC User Forum, market trends, Big Data  Bob Sorensen Strategic research projects, government studies and international analysis  Lloyd Cohen HPC data and workstations  Mike Thorp and Kurt Gantrish Government account support and special projects  Mary Rolph HPC User Forum conference planning and logistics
  • 4. About IDC: IDC HPC Activities • Track all HPC servers sold each quarter • 4 HPC User Forum meetings each year • Publish 85 plus research reports each year • Visit all major supercomputer sites & write reports • Assist in collaborations between buyers/users and vendors • Assist governments in HPC plans, strategies and direction • Assist buyers/users in planning and procurements • Maintain 5 year forecasts in many areas/topics • New: Developing a worldwide ROI measurement system • New: HPDA program • New: Quarterly tracking of GPUs/accelerators
  • 5. Agenda 1. HPC Market Update 2. The HPC Market in Europe 3. HPDA Update: Where Big Data Meets HPC 4. IDC ROI Research Update 5. HPC User Forum Update 6. IDC HPC Innovation Program Update 7. Conclusions
  • 6. CHECK OUT OUR WEB SITE: www.hpcuserforum.com
  • 7. Important Dates For Your Calendar 2015 HPC USER FORUM MEETINGS: • Broomfield, Colorado Location: Omni Interlocken September 8-10, 2015 • Paris -- Institute of Earth Physics of Paris Host: GENCI October 12-13, 2015 • Munich -- Leibniz Rechenzentrum Host: LRZ October 15-16, 2015
  • 9. Top Trends in HPC 2014 ended soft, after a number of very strong years • Top5 system purchases has slowed for ~2 years • The IBM/Lenovo deal delayed many purchases • 2014 was basically flat with 2013 ($10.2 billion in 2014 vs. $10.3 billion in 2013) • 2015 to 2018 are predicted to be healthy growth years Big data combined with HPC is creating new solutions • Adding many new users/buyers to the HPC space Software Issues continue to grow GPUs & accelerators extend their impact
  • 11. Top Trends in HPC: Growing Use of Clouds
  • 12. Top Trends in HPC: Growing Use of Clouds
  • 13. Top Trends in HPC: Evolving Issues On Our Minds Non-x86 processors could alter the landscape • ARM, Power, others • Coprocessors, GPUs, FPGAs China looms large(r) • Lenovo, growing domestic market, export intentions • Other Chinese vendors are planning to extend to Europe Growing influence of the data center in IT food chain • Impact on HPC technology options • Perhaps providing new approaches? HPC in the Cloud Gaining Traction • How much, how soon?
  • 14. Top Trends in HPC: HPC Storage  Storage is the fastest-growing part of the HPC market  HPC storage revenue will grow to record levels  The HPC storage market remains fragmented  The big players are turning their attention to this market  The HPC interconnect market is in transition  Data movement/management is a major pain point • Multi-year shift away from today’s extreme compute-centrism • Many buyers still not savvy enough about purchasing storage  HPDA will boost storage budgets © IDC Visit us at IDC.com and follow us on Twitter: @IDC
  • 15. IDC HPC Competitive Segments: 2014 Departmental ($250K - $100K) $3.83B Divisional ($250K - $500K) $1.52B Supercomputers (Over $500K) $3.15B Workgroup (under $100K) $1.72B HPC Servers $10.2B
  • 16. 2014 HPC Revenue Results
  • 18. 2014 Revenue Share by Vendor: Supercomputer Segment ($500K+) © IDC Visit us at IDC.com and follow us on Twitter: @IDC
  • 19. 2014 HPC Market: By Industry/Applications
  • 21. HPC Forecasts • Forecasting a 8.2% yearly growth from 2014 to 2019 • 2019 should reach $15.2 billion
  • 22. The Broader HPC Market
  • 24. The HPC Market In Europe: Revenues
  • 25. The HPC Market In Europe: Processors
  • 26. The HPC Market In Europe: By Workloads
  • 27. The HPC Market In Europe: The Broader Market
  • 28. The HPC Market In Europe: By Country
  • 29. IDC Is Completing a New Study for the European Commission
  • 30. The Study Evaluates Progress on the EU HPC Action Plan Published in 2012
  • 32. High Performance Data Analysis Needs HPC resources • High complexity (algorithms) • High time-criticality • High variability • (On premise or in cloud) Data of all kinds • The 4 V’s: volume, variety, velocity, value • Structured, unstructured • Partitionable, non-partitionable • Regular, irregular patterns Simulation & analytics • Search, pattern discovery • Iterative methods • Established HPC users + new commercial users
  • 33. HPC Adoption Timeline (Examples) 1960 1970 1980 1990 2000 2012
  • 35. IDC’s HPDA Program: Example Research Documents • Supercomputer-Based Analytics Are Starting to Transform Healthcare • United States Postal Service Turns to HPC for Big Data and Analytics • High-Performance Data Analytics: Market Status and User Exemplars • PayPal Says More Fortune 2000 Firms Could Benefit from HPC for Big Data Analytics • Market Analysis Perspective: Worldwide High-Performance Data Analysis, 2014 • NEC's HPC Vision: Bringing Vector Supercomputing to a Broader Data- Intensive User Base • Bull Launches an Exascale Program for 2020, But the Vision Extends to Big Data and Beyond • Total S.A. Retakes the Lead in Energy Sector Supercomputer Race • Los Alamos National Laboratory: Seven Decades of Computing Leadership • Summary of HPC and HPDA Technology, Development, and Applications: HPC User Forum, September 15–17, 2014, Seattle, Washington • HPC Interconnects: New Options Emerging from a Sector in Transition
  • 36. IDC’s HPDA Program: Server Forecasts
  • 37. IDC’s HPDA Program: Four New Industry/Application Workload Segments  Fraud and anomaly detection • This "horizontal" workload segment centers around identifying harmful or potentially harmful patterns and causes using graph analysis, semantic analysis, or other high performance analytics techniques.  Marketing • This segment covers the use of HPDA to promote products or services, typically using complex algorithms to discern potential customers' demographics, buying preferences and habits.  Business intelligence • The workload segment uses HPDA to identify opportunities to advance the market position and competitiveness of businesses, by better understanding themselves, their competitors, and the evolving dynamics of the markets they participate in.  Other Commercial HPDA • This catchall segment includes all commercial HPDA workloads other than the three just described. • Over time, IDC expects some of these workloads to become significant enough to split out, i.e. the use of HPDA to manage large IT infrastructures, and Internet-of- Things (IoT) infrastructures.  Note Financial, classified buyers, etc. will continue to be listed under the existing IDC segments
  • 38. IDC’s HPDA Program: New Research Findings
  • 39. IDC’s HPDA Program: New Research Findings
  • 40. Machine Learning/Deep Learning  Like a game: a goal and rules for reaching it.  Stage 1: Search • Computer is given the goal and trained in the rules (e.g., Jeopardy Watson).  Stage 2: Unknown pattern discovery • Computer is given the goal and has to discover the rules (e.g., medical Watson, some x86 clusters)  Stage 3: Cognitive computing/AI • Computer has to discover the goal and the rules (future).
  • 41. Machine Learning: Typical Attributes Mainstream IT Market  Serial algorithms  Data scientists acquire algorithms  Major data reduction before analytics (sometimes >99%)  Not very time-critical  Public cloud often fine HPC (HPDA) Market  Parallel algorithms  Data scientists create algorithms  No big data reduction: high- resolution results needed  Very time-critical  Public cloud often inadequate
  • 42. Summary: HPDA Market Opportunity  HPDA: simulation + newer high- performance analytics • IDC predicts fast growth from a small starting point  HPC and high-end commercial analytics are converging • Algorithmic complexity is the common denominator  Economically important use cases are emerging  No single HPC solution is best for all problems
  • 44. Our 3 Year Grant From DOE
  • 45. Three-Year Research Plan  2013 pilot study:  Tested 3 approaches and set the models  Populated the models with 208 cases of scientific innovation and industrial ROI (it now exceeds 400)  Created the innovation index  Three-year study: sponsored by DOE Science/NNSA  Refine the models to move from association towards causation  Collect thousands of cases: • Dense collection in the U.S. • Sparser collection elsewhere* * DOE has asked IDC to invite other countries to participate
  • 46. The Financial ROI Models ROI models that have been developed include: 1. ROI based on revenues generated (similar to GDP) divided by HPC investment 2. ROI based on profits generated (or costs saved) divided by HPC investment 3. ROI based on jobs created
  • 47. Two Innovation Index Scales  How would you rate this innovation compared to all other innovations in this field over the last ten years?  Scale One:  5 = One of the top 2 to 3 innovations in the last decade  4 = One of the top 5 innovations in the last decade  3 = One of the top 10 innovations in the last decade  2 = One of the top 25 innovations in the last decade  1 = One of the top 50 innovations in the last decade  Scale Two:  5 = It had a major impact and is useful to many organizations  4 = A minor innovation that is useful to many organizations  3 = A minor innovation useful only to 2 -3 organizations  2 = A minor innovation useful only to 1 organization  1 = An innovation that is recognized ONLY by experts in the field
  • 48. Example Findings: The Financial ROI Model 
  • 49. Example of The ROI Model
  • 52. HPC User Forum Mission To Improve the Health of the High Performance Computing Industry through Open Discussions, Information-sharing and Initiatives Involving HPC Users In Industry, Government and Academia Along with HPC Vendors and Other Interested Parties
  • 53. Steering Committee Members  Paul Muzio, City University of New York, Chair  Rupak Biswas, NASA Ames, Vice Chair  Earl Joseph, Executive Director  Swamy Akasapu, General Motors  Vijay Agarwala, Penn State University  Alex Akkerman, Ford Motor Company  Doug Ball, HPC expert (formerly Boeing)  Jeff Broughton. NERSC/Lawrence Berkeley National Lab  Paul Buerger, Avetec  Chris Catherasoo, Caltech  Jack Collins, National Cancer Institute  Steve Conway, IDC Research Vice President  Steve Finn, Cherokee Information Services  Merle Giles, NSCA/University of Illinois  Keith Gray, British Petroleum  James Kasdorf, Pittsburgh Supercomputing Center, Chairman  Doug Kothe, Oak Ridge National Laboratory  Jysoo Lee, NICN  Michael Resch , HLRS, University of Stuttgart  Vince Scarafino, Industry Expert  Suzy Tichenor, Oak Ridge National Laboratory
  • 54. 50+ Meetings Worldwide Since 2000  Amsterdam, Netherlands (SARA)  Annecy, France  Bangalore, India (Indian Institute of Technology)  Beijing, China (Chinese Academy of Sciences)  Bologna, Italy (CINECA)  Bristol, UK  Bruyères-le-Châtel, France (Teratec)  Canberra, Australia  Geneva, Switzerland (CERN)  Kobe, Japan (RIKEN)  Lausanne, Switzerland (EPFL)  London, UK (Imperial College)  Manchester, UK (Manchester University)  Melbourne, Australia  New Delhi, India (Indian Institute of Science)  Seoul, Korea (National Institute of Supercomputing & Networking)  Stuttgart, Germany (HLRS)  Warsaw, Poland (University of Warsaw)  Yokohama, Japan (Earth Simulator Center)  Zurich, Switzerland (ETH Zurich)  United States (many locations)
  • 55. Recent HPC User Forum Meetings  2014: • April: Santa Fe, New Mexico • July: Kobe, Japan (RIKEN) • September: Seattle, Washington • October: Canberra & Melbourne, Australia • October: Stuttgart, Germany (HLRS)
  • 56. Future HPC User Forum Meetings  2015: • September 8 to 10, Denver, Colorado • October 12-13. Paris (host: GENCI) • October 15-16. Munich (host: LRZ)
  • 57. CHECK OUT OUR NEW WEB SITE: www.hpcuserforum.com
  • 58. Updates On The IDC HPC Innovation Award
  • 59. HPC Innovation Award Program: www.hpcuserforum.com/innovationaward
  • 60. The Trophy For Winners
  • 61.
  • 62. HPC Innovation Awards for ISC 15 After careful deliberation, IDC’s HPC User Forum Steering Committee, which serves as the judging panel for the IDC HPC Innovation Excellence awards, has decided to make no awards for this round (July 2015). • Some of the submissions described work that seemed both important and interesting • However, none of the submission included information that was complete enough to permit fair judging. • IDC has invited them to apply for the fall award. • To avoid this issue going forward, IDC will be updating the application process and making the rules/objectives more explicit and easier to follow.
  • 63. HPC Award Program Process The Original Innovation Awards Goals and Objectives:  Help to expand the use of HPC by showing real ROI examples:  Expand the “Missing Middle” – SMBs, SMEs, SMSs -- by providing examples of what can be done with HPC  Show mainstream and leading edge HPC success stories  Create a large database of success stories across many industries/verticals/disciplines  To help justify investments and show non-users ideas on how to adopt HPC in their environment  Creating many examples for funding bodies and politicians to use and better understand the value of HPC  to help grow public interest in expanding HPC investments  For OEMs to demonstrate success stories using their products
  • 64. HPC Award Program Process Look for changes to the application process soon: A new application form better designed to:  More clearly explain the rules and key data required  More clearly explain the type of accomplishments that are desired  Better accomplish the goals: • Recognize users and their vendors for major HPC-supported achievements in industry, government and academia. • Build a large portfolio of quantified ROI success stories to strengthen the case for boosting investments in and funding for HPC. • Increase HPC adoption by educating the market on its benefits – using clear and specific ROI examples.
  • 65. HPC Award Program New Judging Process A new more timely and interactive multi-step review process designed to extract the best insights from the base of HPC submitters: • Stage 1: Before preliminary deadline, application is submitted using new form; • Stage 2: Application is reviewed by a Steering Committee member and marked ‘Accept, Reject, or Return for Additional Information’; • Stage 3: When needed, a Steering Committee member will work with a submitter to assemble needed information; • Stage 4: Re-worked application is submitted before final deadline. • Stage 5: Full Steering Committee membership judges applications Please standby as IDC will soon be issuing new guidance for future submissions, starting with SC15 in November.
  • 66. HPC Award Program Submission Form: www.hpcuserforum.com/innovationaward
  • 68. Why HPC Is Projected To Grow 1. The low half of the market is finally back to a recovery mode 2. It has become a competitive weapon 3. Governments view HPC leadership as critical  For national pride, but more importantly for economic prosperity 4. There are very critical HPC issues that need to be solved  Global warming, alternative energy, safe NE, financial disaster modeling, healthcare, homeland security, …  And 3D movies and large scale games are fun
  • 69. But There are Still Major Customer Pain Points Software is the #1 roadblock • Better management software is needed • Parallel software is lacking for most users  Many applications will need a major redesign Clusters are still hard to use and manage • System management & growing cluster complexity • Power, cooling and floor space are major issues • Third party software costs • Storage and data management are becoming new bottle necks • Lack of support for heterogeneous environment and accelerators ROI is becoming a requirement, especially as system costs escalate … Some good news in that there are new technologies in Big data, accelerators, clouds, etc.
  • 70.  HPC is still expect to be a strong growth market • Growing recognition of HPC’s strategic value is helping to drive high-end sales • Low-end buyers are back into a growth mode  Vendor share positions will shift greatly in 2015  Recognition of HPC’s strategic/economic value will drive the exascale race  The formative HPDA market will expand opportunities for vendors  The high ROI will drive major segments (finance, health care)  China will be a wild card – with the US-China supercomputer battles Conclusions
  • 71. Important Dates For Your Calendar 2015 HPC USER FORUM MEETINGS: • Broomfield, Colorado Location: Omni Interlocken September 8-10, 2015 • Paris -- Institute of Earth Physics of Paris Host: GENCI October 12-13, 2015 • Munich -- Leibniz Rechenzentrum Host: LRZ October 15-16, 2015
  • 74. An Example: U.S. Postal Service
  • 75. An Example: U.S. Postal Service v MCDB = memory-centric database