Corporate Senior Vice President, Noriyuki Toyoki, shares Fujitsu’s vision of the increasingly prevalent role technology takes in our daily lives. Everything you ever wanted to know about big data, smart grids, supercomputing and how they can support society through disaster recovery, healthcare ICT and food production - to create a human centric intelligent society.

1. Fujitsu technology :
Redefining
IT’s Potential
Noriyuki Toyoki
Corporate Senior Vice President
Fujitsu Limited

2. March 11, 2011
The Devastating East Japan Earthquake

4. Large-Scale
Power Plant
Office Building
Recyclable Energy
Smart-City Initiative
Regional ICT Center Factory
Traffic・EV
Smart Grid
Hospital
Community
Facility
Home

5. Services System Platforms
photo
Ubiquitous Products Devices

6. Human Centric Intelligent Society

7. Creating Knowledge,
Supporting Human Activities
Human Centric
Transforming
Business Process
Network Centric
Scope of ICT Usage
Improving
Productivity
Computer Centric
Networking
1990 2000 2010 2020

8. Cloud Mobile Technology
Big Data
Sensor Technology Semiconductor

9. Human Centric Intelligent Society
Transport Food
Big Data
Healthcare Broadcasting
Smart Grids Logistics/Retail

10. Fujitsu’s Agricultural Cloud Service

11. Kobe Beef

12. Accumulation & Analysis
Weeding Requirements
Weather
Specific Best Practices Established
Timing of Farming Tasks Stabilized Sales & Increase of Profit Soil Conditions

14. Fujitsu’s Healthcare Cloud Service

15. Electronic Medical Record Systems
Support for Optimized Operations

16. Medical History Data
Medical Exam Data
Daily Activity Data

17. Understanding an Individual’s Overall Health
Medical History Data Medical Exam Data Daily Activity Data
Probability of Becoming Diabetic

18. Fujitsu’s Healthcare Trial
Doctor Yanagida consults Mr. Noda…

19. Personal data of those
susceptible to diabetes
Inquiry
Personal Data
Personal data of those
not susceptible to diabetes

21. How can you utilize Big Data for business growth?

22. Discover Valuable Correlations
SNS
Big Data Business Data
Mobile Device
Sensor

23. Industry Knowledge Management Strategies
Big Data Business Data
Business Experience Intuition

24. We need to develop a completely new server concept.

25. A mutual objective to construct a fully
integrated machine
Hardware Strengths Software Strengths

27. Hardware Development Enterprise Database
Capabilities Technology
System Integration Business Intelligence
Know-how Know-how

29. Ultra-high Performance
Rich Functionality
Compact Size

30. 1st Point: The "K computer"
Many capabilities adopted from the
Supercomputer, including SIMD
(Single Instruction Stream Multiple Data Stream)

31. 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).

32. 2nd Point: Hardware Scalability
Maximum of 16 Building Blocks

33. BB#05
2nd Point: Hardware Scalability
Maximum of 16 Building Blocks
Fiber Cable

34. 32TB
3rd Point: Memory Capacity
512GB per Socket
Up to 32TB of Memory per System
Homogenized and Seamless

35. Air Flow
Current Model
CPU CPU
4th Point: Liquid Loop Cooling (LLC)
MEMORY
MEMORY
CPU-Memory Distance Limits Performance
Minimizing the distance between CPU
and Memory
SPARC64 X
MEMORY
Memory access time is significantly
reduced
CPU CPU
MEMORY
Shorter Distance Increases Performance

36. Decimal
Conversion
5th Point: Software on Chip
Direct
Binary Decimal Execution
Execution Application execution time will be
dramatically reduced
Conversion
Decimal

37. Andy Mendelsohn
Senior Vice President
Oracle Database Server Technologies

38. Fujitsu DNA
Well-rounded Higher Performance
Across the Entire System
Embedded Hardware RAS Mechanisms

39. Control Domain Domain Domain
Domain
Local
Web Mail DB
Domains
Manager Server Server Server
Oracle Oracle Oracle Oracle Close Collaboration with Oracle Results in
Solaris Solaris Solaris Solaris
Oracle VM Built-in
Oracle VM
BB#1 BB#2 BB#xx
Flexible Use of
Powerful Cores

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

41. Collecting massive
amounts of data

42. Tools to make
the right decisions
without extrapolations

44. SNS Data

45. Good
Bad
Criticism building in Brazil, South Africa
and Poland

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

47. climate
population structure
automobile usage patterns
dependency on imported gasoline
home ownership ratio
mobile phone usage
average income
average age to first get married

48. Turkey
Taiwan
Sales Forecast
increased
changed downward

49. Recovery Plan and Simulation
Product Supply Resources Optimized
Impacts to the Bottom Line
Regional Sales Promotion Activities

51. SNS Data Business Data

52. In the recent past
SNS Data Business Data
With Limited Server Infrastructure
Limited Analysis Area
Limited Analysis Circulation
Analysis results can be applied,
but not immediately

53. The Next Generation
Server Technology
Quick use of Massive Data
Before the Competition
TRUE BUSINESS VALUE

54. SPECint®_rate2006
25,000
20,000
Athena server provides twice
15,000
22,445 the performance of IBM Power 7
10,000
(estimated)
server, based on measured
11,300
5,000
estimates.
0
IBM POWER 7 Athena (64 sockets)
The IBM POWER7 result reflects a result published as of November, 2010.
The Athena 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

55. Software on Chip performance - Highlight
NUMBER
x430
Crypto x163
Copy x12 Compare x15
HASH (*) x7
(*) : HASH is one of functions being used frequently in DBMS transactions.

56. NUMBER Performance
SUM(8B+8B)
w/Vector
w/o Vector
Chip Throughput Format conversion required between
45,044
decimal on Database and binary on
Processors
1000
x430
Exclusive arithmetic unit inside of
500
Athena offloads the conversion to
793
x7.7 hardware.
103
Mop/s 0
SPARC64 VII+ Athena
(3GHz) (3GHz)
Fujitsu will decide the official name of this machine at a later date.

57. Crypto Performance
Chip Throughput
Decrypt Encrypt
Crypto-compliance mandatory
50,000 50,000
for current & future ICT
40,000 40,000
transactions
30,000 X162.6 30,000 X158.9
46,495 46,880 Athena micro-architecture
20,000 20,000
boosts encryption & decryption
10,000 10,000 processes
286 295
MB/s 0 MB/s 0
SPARC64 VII+ Athena SPARC64 VII+ Athena
(3GHz) (3GHz) (3GHz) (3GHz)
Fujitsu will decide the official name of this machine at a later date.

58. 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

59. Fujitsu technology :
Redefining IT’s Potential