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Form 10-Q or 10-K filing for more information on the risk factors that could cause actual results to differ.
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to the most directly comparable GAAP financial measure.

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INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS
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Performance tests and ratings are measured using specific computer systems and/or components and reflect the approximate
performance of Intel products as measured by those tests. Any difference in system hardware or software design or configuration may
affect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or components
they are considering purchasing. For more information on performance tests and on the performance of Intel products, reference
www.intel.com/software/products.

Software and workloads used in performance tests may have been optimized for performance only on Intel
microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components,
software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other
information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that
product when combined with other products.
Bending The Curve
 Daryan Dehghanpisheh
     May 24, 2012




                                         Source:
    All trademarks and brands are registered property of their respective companies.
A Shameless Plug




                                                                                   Join in the discussion!
All trademarks and brands are registered property of their respective companies.                             3
The “So What?”
•   We have “Knowns, unknowns, and known unknowns”
•   Radical performance is here. And, affordable for most.
•   Dealing with data requires a whole new strategy.
•   The Cost Curves of the business are bending.


     All told: A new breed of competitor lurks.


                                                             4
KNOWNS, UNKNOWNS, KNOWN UNKNOWNS
What I hear about, all the time.




Source:                                                                            6
1. Google Images search, public domain
All trademarks and brands are registered property of their respective companies.
These Are Not Black Swans




                                                                             We Knew the Storm Was Coming
Source:                                                                                                     7
1. Google Images search, public domain.
All trademarks and brands are registered property of their respective companies.
And Yet, There Was Still Carnage




                                                                              Halted Due to “Technical Issues”
Source:                                                                                                          8
1. Google Finance, chart.
All trademarks and brands are registered property of their respective companies.
RADICAL PLATFORM PERFORMANCE
Cause and Effect?
                                                              Performance Unleashed
                                                                                                                                                    Cost Per:
                                          Year                                                    GFLOP                                                      GB                                              Mic
                                          2007                                                    $2.48                                                    $48.00                                      $20,000,000.00
                                          2012                                                    $0.48                                                    $0.92                                        $150,000.00
                             Decrease                                                                >5X                                                     >50X                                                  >130X


                                                             Massive Capabilities. Small Investments.
Source:                                                                                                                                                                                                                    10
1.The Aggregate, 2003-08-22, retrieved 2012-02-09
2. Adam Stevenson, Yann Le Du, and Mariem El Afrit. "^ Adam Stevenson, Yann Le Du, and Mariem El Afrit. "High-performance computing on gamer PCs." Ars Technica. March 31, 2011.." Ars Technica. March 31, 2011.
“Optimization” Is Relative
            Latency                                       Registers
              Arb                  GETCO                  (1 Cycle)
          Flow based                                       Caches
           execution
           arbitrage              Breakwater            (2-20 Cycles)

         Micro-market                                     Memory
         linear models              BATS                (100 Cycles)

                                                      Remote Memory
   Machine Learning Models         Automat             (10,000 Cycles)

Stochastic Models of order book                         Flash Drives
           dynamics
                                   Citadel
                                                      (100,000 Cycles)

                                                       Spinning Disks
      Statistical Arbitrage
                                   Rentec            (10,000,000 Cycles)


               It is a blend of art, science...and strategy.
Put More Simply…




We Optimize Across A Range of Techniques
Affordable Low(er) Latency
                                                                                       Latency vs Message Rate (Mpps)
                                                                               15
                                                       Latency (µsec)

                                                                               10


                                                                                   5


                                                                                   0
                                                                                        1.0   1.5   2.0   2.5    3.0   3.5   4.0
                                                        Westmere                        3.5   6.7   6.8   13.2
                                                        SandyBridge                     2.5   2.6   2.9   3.2    3.8   4.7   7.7

                      Moore’s Law Brings Lower Latency to the Masses More Easily
Source:
1. Solarflare: http://www.solarflare.com
All trademarks and brands are registered property of their respective companies.
LATENCY – LOWER IS BETTER
                            The Latency Spectrum




                                      Parallelism; # of Threads
LATENCY – LOWER IS BETTER
                                The Latency Spectrum




                                                         PARRALELISM; # of THRAEDS
                             Apps that are truly single threaded and acutely latency
                            sensitive represent an extremely small footprint of code.
Our Collective Challenge
              In 2012 all PCs & Servers shipping are Multi-Core, Multi-Threaded
                                                                   Source: PC Semiconductor Market Briefing: Re-Architecting the PC and
                                                       Units = M   the Migration of Value, June 2008

                                                       450
                                                       400
                                                       350
                                                       300
                                                       250
                                                       200
                                                       150
PERFORMANCE




                               Multi-core Needs        100
                               Parallel Applications    50
                                                         0
              GHz Era             Multi-core Era         2007        2008           2009           2010           2011            2012
                        TIME                                    Single Core     Dual Core         Triple Core       Quad Core
                                                                Hex Core        Octal Core        12 Core           16 Core

                                 const str newNormal = “parallel”;
                                                                                                                                  16
Setting The Pace: Intel x86 ISA
                                                                                        Next:
                                                                       Leapfrog performance with wide          Future Extensions
Performance / core




                                                                                                          •   Hardware FMA
                                                                        vectorization, ISA extensions.
                                                                                                          •   Memory Latency/BW
                                                                                                          •   Many Other Features


                                      Traditionally:
                                                                                                          Ivy Bridge
                     Improved performance with upcoming
                                                                                                    •   Half float support
                          Intel® micro architectures                                                •   Random Number
                                                                                                        Generator
                                                                           Intel Xeon E5 Series
                           Intel Xeon 56xx Series                      •   Intel® AVX
                      • Intel® SSE4
                                                                       •   Up to 2X FLOP Output
                      • Intel AES-NI^-Cryptographic
                        Acceleration                                   •   3-Operand instructions
                      • Memory latency, BW
                      • Fast Unaligned support


                                                                                Core
                         Intel Architecture Goes Well Beyond “Speeds and Feeds”
                     ^AES-NI   - Advanced Encryption Standard New Instruction
                     AVX – Advanced Vector Extensions
Intel Xeon E5 - AVX Instructions
                    Newest in a long line of processor
                    instruction innovations

                    Increases floating
                    point operations per clock up to 2X1
                    for technical, financial, scientific &
                    content creation applications

                    Performance to
                    solve your most complex
                    problems



                                           AVX Can Provide >1.8X Improvement to SSE Code
Source:                                                                                    18
1. Intel Corporation: http://www.intel.com
All trademarks and brands are registered property of their respective companies.
Intel Fused Multiply Add (FMA)
• Computes (ab)c with no intermediate rounding.
    – Can speed up many common floating-point computations
         • Get twice as many arithmetic ops per instruction
         • Circuitry does not need to normalize intermediate result.
    – Accurate computation of small residuals
• Varieties supported
   types: float, double
   widths: scalar, 128-bit vector, 256-bit vector
   negations: ab+c, (ab)+c, abc, (ab)c,

    And vector versions with alternating signs:
      akbkck on even indices                   akbk+ck on even indices
      akbk+ck on odd indices                    akbkck on odd indices
                                                                            19
DEALING WITH DATA… BEYOND THE TAPE
A Cambrian Explosion… of Data

                                                         230M
                                                          50M                                Tweets sent


                                                        250M
                                                        100M                                 Photos uploaded to Facebook


                                                          2B
                                                          7B                                 Videos watched


                             New Types of Data. New Types of Trading Opportunities.
Source:                                                                                                                    21
1. Public sources, Company Metrics from public filings: http://finance.google.com/(symbol)
All trademarks and brands are registered property of their respective companies.
Creating New Data Challenges
Intelligent          Manageable           Personalized




      New Technologies and Methods are Required
                                                         22
A New Data Strategy




                      23
A New Data Strategy




Source:                                                                                   24
All trademarks and brands are registered property of their respective companies.
LOWER COST MODEL LEADS
TO NEW DISRUPTIONS… AND COMPETITORS
Alpha From Tweets




          Unstructured Graph Data




                      >2X Better Returns than Major Indexes During Test Period
Source:                                                                                                                                                                                                        26
Correlating Financial Time Series with Micro Blogging Activity, Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castillo, Aristedes Gionis, Alejandor Jaimes, February 8 -2012, Seattle Washingon, US – Copyright 2012
Analysis (And Execution) In the Cloud
                                                                                                  8 People, 4 Trades




                                                                                              >$X00M Gain… All from Cloud
                       Cloud Architectures



                                                                Much Higher Alpha. Much Lower Costs.
Source:                                                                                                                27
All trademarks and brands are registered property of their respective companies.
Fully Optimizing For Success




                                                                                            Performance Increase
                     Optimization Choices



                                                                Much Higher Alpha. Much Lower Costs.
Source:                                                                                                            28
All trademarks and brands are registered property of their respective companies.
How Long Until You’re Optimized?

                            Days? Months? Years?
New Hardware,                                                  New Tools –
                 New Bios       New OS / Java,                                 Optimized
Cores, Sockets                                   New Network   1588., thread
                 Settings         Compilers                                    Application
 Instructions                                                    checker…




If time is money, how much of both are you losing?

                   Start today. Start with Intel.
                                                                                      29
One Last Plug




                                                                                   Join in the discussion!
Source:                                                                                                      30
All trademarks and brands are registered property of their respective companies.
Thank you.




Source:                                                                                         31
All trademarks and brands are registered property of their respective companies.

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Bending The Curve

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  • 2. Bending The Curve Daryan Dehghanpisheh May 24, 2012 Source: All trademarks and brands are registered property of their respective companies.
  • 3. A Shameless Plug Join in the discussion! All trademarks and brands are registered property of their respective companies. 3
  • 4. The “So What?” • We have “Knowns, unknowns, and known unknowns” • Radical performance is here. And, affordable for most. • Dealing with data requires a whole new strategy. • The Cost Curves of the business are bending. All told: A new breed of competitor lurks. 4
  • 6. What I hear about, all the time. Source: 6 1. Google Images search, public domain All trademarks and brands are registered property of their respective companies.
  • 7. These Are Not Black Swans We Knew the Storm Was Coming Source: 7 1. Google Images search, public domain. All trademarks and brands are registered property of their respective companies.
  • 8. And Yet, There Was Still Carnage Halted Due to “Technical Issues” Source: 8 1. Google Finance, chart. All trademarks and brands are registered property of their respective companies.
  • 10. Cause and Effect? Performance Unleashed Cost Per: Year GFLOP GB Mic 2007 $2.48 $48.00 $20,000,000.00 2012 $0.48 $0.92 $150,000.00 Decrease >5X >50X >130X Massive Capabilities. Small Investments. Source: 10 1.The Aggregate, 2003-08-22, retrieved 2012-02-09 2. Adam Stevenson, Yann Le Du, and Mariem El Afrit. "^ Adam Stevenson, Yann Le Du, and Mariem El Afrit. "High-performance computing on gamer PCs." Ars Technica. March 31, 2011.." Ars Technica. March 31, 2011.
  • 11. “Optimization” Is Relative Latency Registers Arb GETCO (1 Cycle) Flow based Caches execution arbitrage Breakwater (2-20 Cycles) Micro-market Memory linear models BATS (100 Cycles) Remote Memory Machine Learning Models Automat (10,000 Cycles) Stochastic Models of order book Flash Drives dynamics Citadel (100,000 Cycles) Spinning Disks Statistical Arbitrage Rentec (10,000,000 Cycles) It is a blend of art, science...and strategy.
  • 12. Put More Simply… We Optimize Across A Range of Techniques
  • 13. Affordable Low(er) Latency Latency vs Message Rate (Mpps) 15 Latency (µsec) 10 5 0 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Westmere 3.5 6.7 6.8 13.2 SandyBridge 2.5 2.6 2.9 3.2 3.8 4.7 7.7 Moore’s Law Brings Lower Latency to the Masses More Easily Source: 1. Solarflare: http://www.solarflare.com All trademarks and brands are registered property of their respective companies.
  • 14. LATENCY – LOWER IS BETTER The Latency Spectrum Parallelism; # of Threads
  • 15. LATENCY – LOWER IS BETTER The Latency Spectrum PARRALELISM; # of THRAEDS Apps that are truly single threaded and acutely latency sensitive represent an extremely small footprint of code.
  • 16. Our Collective Challenge In 2012 all PCs & Servers shipping are Multi-Core, Multi-Threaded Source: PC Semiconductor Market Briefing: Re-Architecting the PC and Units = M the Migration of Value, June 2008 450 400 350 300 250 200 150 PERFORMANCE Multi-core Needs 100 Parallel Applications 50 0 GHz Era Multi-core Era 2007 2008 2009 2010 2011 2012 TIME Single Core Dual Core Triple Core Quad Core Hex Core Octal Core 12 Core 16 Core const str newNormal = “parallel”; 16
  • 17. Setting The Pace: Intel x86 ISA Next: Leapfrog performance with wide Future Extensions Performance / core • Hardware FMA vectorization, ISA extensions. • Memory Latency/BW • Many Other Features Traditionally: Ivy Bridge Improved performance with upcoming • Half float support Intel® micro architectures • Random Number Generator Intel Xeon E5 Series Intel Xeon 56xx Series • Intel® AVX • Intel® SSE4 • Up to 2X FLOP Output • Intel AES-NI^-Cryptographic Acceleration • 3-Operand instructions • Memory latency, BW • Fast Unaligned support Core Intel Architecture Goes Well Beyond “Speeds and Feeds” ^AES-NI - Advanced Encryption Standard New Instruction AVX – Advanced Vector Extensions
  • 18. Intel Xeon E5 - AVX Instructions Newest in a long line of processor instruction innovations Increases floating point operations per clock up to 2X1 for technical, financial, scientific & content creation applications Performance to solve your most complex problems AVX Can Provide >1.8X Improvement to SSE Code Source: 18 1. Intel Corporation: http://www.intel.com All trademarks and brands are registered property of their respective companies.
  • 19. Intel Fused Multiply Add (FMA) • Computes (ab)c with no intermediate rounding. – Can speed up many common floating-point computations • Get twice as many arithmetic ops per instruction • Circuitry does not need to normalize intermediate result. – Accurate computation of small residuals • Varieties supported types: float, double widths: scalar, 128-bit vector, 256-bit vector negations: ab+c, (ab)+c, abc, (ab)c, And vector versions with alternating signs: akbkck on even indices akbk+ck on even indices akbk+ck on odd indices akbkck on odd indices 19
  • 20. DEALING WITH DATA… BEYOND THE TAPE
  • 21. A Cambrian Explosion… of Data 230M 50M Tweets sent 250M 100M Photos uploaded to Facebook 2B 7B Videos watched New Types of Data. New Types of Trading Opportunities. Source: 21 1. Public sources, Company Metrics from public filings: http://finance.google.com/(symbol) All trademarks and brands are registered property of their respective companies.
  • 22. Creating New Data Challenges Intelligent Manageable Personalized New Technologies and Methods are Required 22
  • 23. A New Data Strategy 23
  • 24. A New Data Strategy Source: 24 All trademarks and brands are registered property of their respective companies.
  • 25. LOWER COST MODEL LEADS TO NEW DISRUPTIONS… AND COMPETITORS
  • 26. Alpha From Tweets Unstructured Graph Data >2X Better Returns than Major Indexes During Test Period Source: 26 Correlating Financial Time Series with Micro Blogging Activity, Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castillo, Aristedes Gionis, Alejandor Jaimes, February 8 -2012, Seattle Washingon, US – Copyright 2012
  • 27. Analysis (And Execution) In the Cloud 8 People, 4 Trades >$X00M Gain… All from Cloud Cloud Architectures Much Higher Alpha. Much Lower Costs. Source: 27 All trademarks and brands are registered property of their respective companies.
  • 28. Fully Optimizing For Success Performance Increase Optimization Choices Much Higher Alpha. Much Lower Costs. Source: 28 All trademarks and brands are registered property of their respective companies.
  • 29. How Long Until You’re Optimized? Days? Months? Years? New Hardware, New Tools – New Bios New OS / Java, Optimized Cores, Sockets New Network 1588., thread Settings Compilers Application Instructions checker… If time is money, how much of both are you losing? Start today. Start with Intel. 29
  • 30. One Last Plug Join in the discussion! Source: 30 All trademarks and brands are registered property of their respective companies.
  • 31. Thank you. Source: 31 All trademarks and brands are registered property of their respective companies.