fujitsu technology: redefining it’s potential

Fujitsu technology :

Redefining IT’s Potential

March 11, 2011 The Devastating East Japan Earthquake

Smart-City Initiative

Smart Grid

Regional ICT Center

Recyclable Energy

Traffic・EV

Large-Scale Power Plant Office Building

Factory

Hospital

Home

Community Facility

System Platforms Services

Devices Ubiquitous Products

photo

Human Centric Intelligent Society

Computer Centric

Improving Productivity

Network Centric

Transforming Business Process

Networking Scop

e of

ICT

Usag

e

1990 2010 2020 2000

Human Centric

Creating Knowledge, Supporting Human Activities

Big Data

Semiconductor

Mobile Technology

Sensor Technology

Cloud

Transport

Smart Grids Logistics/Retail

Broadcasting

Food

Healthcare

Human Centric Intelligent Society

Big Data

Fujitsu’s Agricultural Cloud Service

Weeding Requirements

Timing of Farming Tasks

Accumulation & Analysis

Soil Conditions

Weather

Kobe Beef

Stabilized Sales & Increase of Profit

Specific Best Practices Established

Weeding Requirements

Timing of Farming Tasks Soil Conditions

Weather

Accumulation & Analysis

Fujitsu’s Healthcare Cloud Service

Support for Optimized Operations

Electronic Medical Record Systems

Medical History Data

Medical Exam Data

Daily Activity Data

Probability of Becoming Diabetic

Medical History Data

Medical Exam Data

Understanding an Individual’s Overall Health

Daily Activity Data

Fujitsu’s Healthcare Trial

Doctor Yanagida consults Mr. Noda…

Personal data of those susceptible to diabetes

Personal data of those not susceptible to diabetes

Personal Data

Inquiry

Fujitsu’s Cloud Service

How can you utilize Big Data for business growth?

Big Data

Big Data

Big Data Business Data

Discover Valuable Correlations

SNS

Mobile Device

Sensor

Big Data Business Data

Industry Knowledge

Business Experience

Management Strategies

Intuition

We need to develop a completely new server concept.

A mutual objective to construct a fully integrated machine

Hardware Strengths

Software Strengths

System Integration Know-how

Business Intelligence Know-how

Enterprise Database Technology

Hardware Development Capabilities

Ultra-high Performance Rich Functionality Compact Size

1st Point: The "K computer"

Many capabilities adopted from the Supercomputer, including SIMD (Single Instruction Stream Multiple Data Stream)

The K computer, jointly developed by RIKEN and Fujitsu, is part of the High-Performance Computing Infrastructure (HPCI) initiative led by Japan's Ministry of Education, Culture, Sports, Science and Technology (MEXT).

2nd Point: Hardware Scalability

Maximum of 16 Building Blocks

BB#05

2nd Point: Hardware Scalability

Maximum of 16 Building Blocks

Fiber Cable

2nd Point: Hardware Scalability

Maximum of 16 Building Blocks

3rd Point: Memory Capacity

512GB per Socket Up to 32TB of Memory per System

Homogenized and Seamless

32TB

Shorter Distance Increases Performance

4th Point: Liquid Loop Cooling (LLC)

Minimizing the distance between CPU and Memory Memory access time is significantly reduced

CPU CPU

MEMORY

MEMORY

4th Point: Liquid Loop Cooling (LLC)

Minimizing the distance between CPU and Memory Memory access time is significantly reduced

Shorter Distance Increases Performance

CPU-Memory Distance Limits Performance

Current Model

SPARC64 X

CPU CPU

MEMORY

MEMORY

CPU CPU

MEMORY

MEMORY

Air Flow

Conversion

Conversion

5th Point: Software on Chip

Application execution time will be dramatically reduced

Direct Decimal Execution Binary

Execution

Decimal

Decimal

Andy Mendelsohn Senior Vice President Oracle Database Server Technologies

Fujitsu DNA

Well-rounded Higher Performance Across the Entire System Embedded Hardware RAS Mechanisms

Close Collaboration with Oracle Results in

Oracle VM Built-in

Domain

Oracle Solaris

DB Server

Domain

Oracle Solaris

Mail Server

Domain

Oracle Solaris

Web Server

Control Domain

Oracle Solaris

Local Domains Manager

Oracle VM

BB#1 BB#2 BB#xx

Flexible Use of Powerful Cores

How we can analyze and make the best use of Big Data?

Collecting massive amounts of data

Tools to make the right decisions without extrapolations

Tools to make the right decisions without extrapolations

SNS Data

Good

Bad

Criticism building in Brazil, South Africa and Poland

“Analytic Prediction” Approach: Based on a multi-axis analysis of your Big Data Across multiple categories, with various evaluation criteria

climate

population structure

automobile usage patterns

dependency on imported gasoline

home ownership ratio

mobile phone usage

average income

average age to first get married

Sales Forecast increased

changed downward

Taiwan Turkey

Recovery Plan and Simulation

Product Supply Resources Optimized Impacts to the Bottom Line Regional Sales Promotion Activities

SNS Data Business Data

SNS Data Business Data

In the recent past

With Limited Server Infrastructure

Limited Analysis Area Limited Analysis Circulation Analysis results can be applied, but not immediately

The Next Generation Server Technology

Quick use of Massive Data Before the Competition

TRUE BUSINESS VALUE

SPECint®_rate2006

0

5,000

10,000

15,000

20,000

25,000

IBM POWER 7 SPARC64 X Prototype (64 sockets)

11,300

22,445

The IBM POWER7 result reflects a result published as of November, 2010. The SPARC64 X Prototype result is a measured estimate run on pre-production hardware. Fujitsu will decide the official name of this machine at a later date. SPEC and SPECint are registered trademarks of the Standard Performance Evaluation Corporation. For the latest SPEC benchmark results, visit http://www.spec.org

(estimated)

SPARC64 X Prototype

provides twice the

performance of IBM

Power 7 server, based

on measured estimates.

Software on Chip performance - Highlight

(*) : HASH is one of functions being used frequently in DBMS transactions.

NUMBER

x430

Crypto x163

Compare x15 Copy x12 HASH (*) x7

NUMBER Performance

Format conversion required between decimal on Database and binary on Processors

Exclusive arithmetic unit inside of SPARC64 X offloads the conversion to hardware. 0

500

1000

SPARC64 VII+(3GHz)

SPARC64 X(3GHz)

103

793

w/Vector

w/o Vector

SUM(8B+8B)

Chip Throughput

Mop/s

45,044

x430

x7.7

Fujitsu will decide the official name of this machine at a later date.

Crypto Performance Crypto-compliance Mandatory for current & future ICT transactions SPARC64 X’s micro- architecture boosts encryption & decryption processes

0

10,000

20,000

30,000

40,000

50,000

SPARC64 VII+(3GHz)

SPARC64 X(3GHz)

295

46,880

Chip Throughput

MB/s

X158.9

0

10,000

20,000

30,000

40,000

50,000

SPARC64 VII+(3GHz)

SPARC64 X(3GHz)

286

46,495

Encrypt Decrypt

X162.6

MB/s

Fujitsu will decide the official name of this machine at a later date.

Fujitsu Executive Solution Session Monday, October 1

An Update on the SPARC Platform Collaboration Between Oracle and Fujitsu

10:45am, Lam Research Theater

Visit Fujitsu at Moscone South Booth 1311

Join the Innovation Tour for a chance to win Fujitsu's New Hybrid Tablet

Fujitsu technology :

Redefining IT’s Potential

Fujitsu technology :

Redefining IT’s Potential