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    OOW 2013

    The Best Platformfor Big Data and

    Oracle Database 12c

    Goro WatanabEVPFujitsu R&D Center North A

    Bill KingEVPPlatform Products GroupFujitsu America, Inc.

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    1. Fujitsu: Quick Introduction

    2. Big Data and a New Challenge 3. Speed

    4. Big Data and Oracle Database 12c

    5. Fujitsu Technologies 6. Customer Cases

    Summary

    Raffle

    Overview

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    Fujitsu: Quick Introduction

    Chapter 1

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    Server: #1 in Japan Smartphone: #2 in Japan The K computer: World #1 Supercomp

    Cloud Computing and Big Data We are Fujitsu, We are Amdahl.

    Fujitsu: #1 IT Company in Japan

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    5/76opyright 2013 FUJITSU LIMITED

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    Fujitsu,a Socially

    ResponsibleCompany

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    21stCenturyAchievement Award

    ComputerworldWent to Fujitsu

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    Fujitsu STYLISTIC Q572

    Highest Security

    Swappable Battery

    Maximum Connectivity

    Active Pen Input

    Your Professional BusinessPad

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    Fujitsu Has EverythingYou N

    Chapter 1 Summary

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    Big Data and a New Challen

    Chapter 2

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    Source: www.d

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    Flash Crash

    Source:www.wikipedia.org

    May 6, 2010 Apr 23, 2013

    Source:twitter.com

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    Source: www.d

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    Humans Cant Catch Up with Our Own Techno Races: Computer vs. Computer To Win a Race, We Need a Computer with Spe

    Speed is the Key.

    Chapter 2 Summary

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    Speed

    Chapter 3

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    You are buying a modem,M100 from either

    Case Example

    orReseller A Reseller B

    Fu

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    Closes20,000incidents/month.

    Closes1,000incidents/mo

    Reseller BReseller A

    Good?

    A B

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    Closes one incidentin average

    3 days.

    Closes one incin averag

    1 hour

    Reseller A Reseller B

    Good!

    A B

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    Speed

    Throughput:

    Amount of Work per Unit Time

    Latency:

    Response Time to Input/Inquiry

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    Flash Crash

    Source:www.wikipedia.org

    May 6, 2010 Apr 23, 2013

    Source:twitter.com

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    Speed is Latency and Throughput Pay more attention to Latency.

    Speed is Money, literally. Dont save a million to lose a billi

    Chapter 3 Summary

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    Speeding upBig Data and Oracle Database 1

    Powered by Fujitsu

    Chapter 4

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    Big Data = Latency + Throughp

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    Big Data

    = Big Memory

    + High Speed Data Transfe+ High Speed Processing

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    Demonstration

    - Big Data / Fujitsu M10

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    Fujitsu M10 Product lineup that meets any business needs

    All models supportOracle Solaris 11 and 10

    Fujitsu M10-1

    1 socket(Max: 16 cores)

    Fujitsu M10-4

    4 sockets(Max: 64 cores)

    Fujitsu M10-4

    4-socket Building Block can scal(Max: 1,024 core

    1BB

    4BB

    16BB

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    Rain fall coverage area by sensor density

    Rain fall coverage area 1km-mesh

    Rain fall coverage are

    5km-mesh

    min max

    Evacuation orderWarning

    0 30 60 100 200

    250m-mesh

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    Oracle Database 12c= In Memory Database

    + Pluggable Database

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    Oracle Database 12c= Big Memory

    + Pluggable Resource

    Oracle DB12c + Fujitsu M10

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    Oracle DB12c + Fujitsu M10= Pluggable DB + Pluggable Server

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    M10Building

    Block

    CDBCDBContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer DatabaseContainer Database

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    Demonstration- Fujitsu M10: Pluggable Se

    D i R fi ti

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    Dynamic Reconfiguration

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    Demonstration- Oracle DB 12c / Fujitsu M1

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    Cores in Use

    PluggableDatabases In Use

    Transactions Ex

    Average Res

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    Chapter 4 Summary

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    Big Data = Latency + Throughput Oracle DB 12c = In Memory DB + Pluggabl Fujitsu M10 = Big Data and 12c Ready Pla

    Chapter 4 Summary

    Chapter 5

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    Fujitsu Technologies

    Behind the Scene

    Chapter 5

    SPECint rate2006: Throughput

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    SPECint_rate2006: Throughput

    0

    5,000

    10,000

    15,000

    20,000

    25,000

    IBM POWER 7 Fujitsu M10-4S(64 sockets)

    11,300

    23,800

    The IBM POWER7 result reflects a result published as of November, 2010.The Fujitsu M10 result reflects result published as of January, 2013.

    SPEC and SPECint are registered trademarks of the Standard Performance Evaluation

    Corporation. For the latest SPEC benchmark results, visit http://www.spec.org

    Fujitsu M10 serve

    twice the perform

    IBM Power 7serv

    X2

    STREAM TRIAD: Throughput

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    STREAM TRIAD: Throughput

    0

    500

    1,000

    1,500

    2,000

    2,500

    3,000

    3,500

    4,000

    4,500

    IBM POWER 595 Fujitsu M10-4S(64 sockets)

    805

    4002

    X5

    Fujitsu M10 serve

    x5 performance o

    Source of Fujitsu M10-4S and IBM POWER 595 data is in http://www.streambench.org/

    SPECjbb2013 critical-jOPS: Response Performan

    http://www.streambench.org/http://www.streambench.org/
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    0

    20,000

    40,00060,000

    80,000

    100,000

    120,000

    140,000

    160,000

    180,000

    Xeon E7 server(8CPU)

    Fuj

    23,2680

    20,000

    40,00060,000

    80,000

    100,000

    120,000

    140,000

    160,000

    180,000

    Xeon E7 server(4CPU)

    Fujitsu M10-4S(4CPU)

    22,05750,562

    SPECjbb2013 critical jOPS: Response Performan

    4 CPU server class vs Xeon max c

    X2.3

    X7.2

    The Xeon E7 result re flects a result published as of April, 2013.The Fujitsu M10 result reflects result published as of July, 2013.

    SPEC and SPECjbb are registered trademarks of the Standard Performance EvaluationCorporation. For the latest SPEC benchmark results, visit http://www.spec.org

    14 World Records

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    14 World RecordsBenchmark Whats Measured W

    SPEC CPU 2006 int_rate

    CPU Basic Perf. SPEC CPU 2006 int_rate in 32 CPU serverSPEC CPU 2006 int_rate in 16 CPU server

    SPEC CPU 2006 fp_rate

    SPEC CPU 2006 fp_rate in 16 CPU server

    SPECjbb2013 Critical-jOPS

    JAVA Performance

    SPECjbb2013 Critical-jOPS in 4CPU server

    SPECjbb2013 Max-jOPS

    SPECjbb2013 Max-jOPS in 4CPU server

    SPECjbb2005

    STREAM Triad

    Memory Access Perf. STREAM Triad in 32CPU Server

    STREAM Triad in 16CPU Server

    SAP SD 2-Tier SAP Performance

    High Throughput

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    High Throughput

    0

    10

    20

    30

    40

    50

    60

    70

    IBMPower7

    IntelXeon E5

    FujitsuSPARC64 X

    3139

    65

    STREAM TRIAD per Socket(GB/s)

    X1.6

    SPARC64 X/X+Memory Controller

    Memory Controller

    Memory Controller

    Memory Controller

    Xeon E5Memory Controller

    Memory Controller

    Memory Controller

    Memory Controller

    Memory Bus

    Source of Fujitsu M10-4S and IBM POWER 750 data is in http://www.streambench.org/

    High Speed Processing

    http://www.streambench.org/http://www.streambench.org/
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    High Speed Processing Integer Units per Socket

    0

    10

    20

    30

    40

    50

    60

    70

    IBMPower7

    IntelXeon E5

    FujitsuSPARC64 X

    3224

    64

    Floating Point Units p

    0

    10

    20

    30

    40

    50

    60

    70

    IBMPower7

    IntelXeon E5

    3224

    Big Memory

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    Big Memory Maximum Memory Capacity(TB)

    0

    10

    20

    30

    40

    50

    60

    70

    HPDL980

    HPSuperdome2

    IBMP780

    IBMP795

    FujitsuM10

    4 8 4

    16

    64

    Fujitsu M10

    x4 Memory C

    IBM Power 7

    Extreme Scalability

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    Extreme Scalability

    0

    10

    20

    30

    40

    50

    60

    0 10 20 30 40 50 60

    INT

    JAVA

    ERP

    DWH

    CPUs

    Normalized

    Performance

    SPARC64 X+ Chip Overview

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    SPARC64 X+ Chip Overview Architecture Features

    16 cores x 2 SMT threa Shared 24 MB L2$

    Memory and I/O Contro HPC-ACE SWoC (Software on Chi

    28nm CMOS 24.0mm x 25.0mm

    2,990M transistors 1,500 signal pins 3.5GHz+

    Performance (peak) 448GFlops+ 102GB/s memory throuDDR3 Interface

    DDR3 Interface

    Core Core

    Core Core

    Core Core

    Core Core

    Core Core

    Core Core

    Core Core

    Core Core

    L2 CacheData

    L2 CacheData

    L2 CacheControl

    SERDES/Inter-

    CPU

    SERDES/PCIeG

    en3

    MAC

    MAC

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    DemonstrationSPARC64 X+

    Fujitsu M10 High Performance Server

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    Fujitsu M10 High Performance Server

    Fujitsu M10 roadmap

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    2012 2013 2014 2015

    Enhanced

    Fujitsu M10SPARC64 X+:3.5GHz+, 16core, 32thread>1.3x Throughput>1.3x Thread StrengthCMI, Software on Chip+

    Faster interconnect(25Gbps)

    Delivered

    Next Generation

    Fujitsu M10Next Generation SPARC4.5GHz+, 24core, 96thr>2x Throughput>1.5x Thread StrengthFAST ArchData corruption prevenSoftware on Chip++Faster InterconnectFujitsu M10

    SPARC64 X:3.0GHz, 16core, 32threadSystem on ChipSoftware on ChipFast interconnect(14.5Gbps)

    j p

    S d!

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    Speed!

    But dont forgetQuality

    andAffordability.

    Amazing Quality

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    Amazing Quality

    Launch

    Hardware Failures

    1Un

    OHard

    2013/9

    High Affordability: SAP SD Benchm

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    High Affordability: SAP SD Benchm

    Users

    FUJITSUM10

    153,000user

    IBMPower 795

    126,063users

    IBM DB2 Oracle DataBase

    Chapter 5 Summary

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    Fujitsu M10= Big Data and 12c Ready Platform= Supercomputer Technology * (Processor + Hardw= Performance + Reliability + Affordability= Try with your Own Load

    p y

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    Bill KingExecutive Vice President,Platform Products Business

    Fujitsu America, Inc.

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    Fujitsu M10Customer Case Study 1

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    Fujitsu M10Customer Case Study 2

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    Fujitsu M10Customer Case Study 3

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    Fujitsu M10Customer Case Study 4

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    Fujitsus Case Study

    Summary

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    y

    Oracle DB 12c = In Memory DB + Pluggable

    Fujitsu M10 = Larger Memory + Pluggable

    Big Data = Latency + Throughput

    Fujitsu M10 = Latency+ Throughput

    Search Fujitsu M 10 at ww w f ujitsu com

    ww w oracle com

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    Andromeda

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    Question: What was the challenge to th

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    gComputers at Subaru National Observat

    (alt. 4,205m = 13,796ft) in Hawaii?A: Computer got too hotB: Computer got too cold

    C: Air too dryD: Air too wetE: Unstable voltage

    Quiz:

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    What is the Pressure?

    What is the Capacity?What % of Total Communication?

    Visit the Fujitsu Booth!!!

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    Join the booth tour for a chance to win a piece of Japa

    Moscone SouthBooth #1501

    72

    Its TIME for RAFFLE!!!Fujitsu STYLISTIC Q572

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    Fujitsu STYLISTIC Q572

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    Trademarks

  • 7/26/2019 oow2013essv6-130930190245-phpapp02

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    Terms and Conditions Copyrights, trademarks, and other intellectual property rights

    This content (including the text, images, and audio) is protected by copyrights, trademarks, aintellectual property rights. This content can be printed out and downloaded for personal use Use for other purposes (such as reuse on your own website or uploading to another server) is without the express written permission of Fujitsu Limited or the rights holder.

    DisclaimerThis content does not constitute a warranty by Fujitsu Limited for the accuracy, marketability,the product for a particular purpose, and Fujitsu Limited cannot be held legally liable for any darise due to its use. This content is subject to change without notice.

    Trademarks UNIX is a registered trademark of The Open Group in the United States and other countries.

    SPARC Enterprise, SPARC64, and all SPARC trademarks are trademarks or registered trademarkInternational, Inc. (U.S.) in the United States and other countries and are used under license fInternational. Inc.

    Oracle and Java are registered trademarks of Oracle Corporation and/or its affiliates in the Uniother countries.

    All other product names and brand names may be trademarks or registered trademarks of thecompanies.


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