Mr Dennis Ang, General Manager High Performance Computing of Hewlett-Packard Dennis Ang is the General Manager, High Performance Computing (HPC) for Hewlett-Packard's Asia-Pacific Region. He has been with HP since 2001 and has been responsible for business development activities to drive adoption of HPC across the region. Dennis' career in IT span more than 25 years including technical, business development and management roles and responsibilities with several major IT companies. ______________________________________________________________________________________________________________ Topic - The Future of Scale-Out Computing This presentation will highlight key aspects of Scale-Out Computing. It includes an update on the growth of High Performance Computing by the engineering and scientific community brought about by the fast adoption of industry-standard cluster computing technology and also the advent of Cloud Computing. It will also introduce key technologies, services and research collaboration from HP and its partners to address Scale-Out Computing requirements.

1. The Future For Scale-Out
Computing
Dennis Ang
Hewlett-Packard
Asia-Pacific Region
Dec 11, 2008
Technology for better business outcomes
© 2008 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice

2. Key Topics
• Drivers of Scale-Out
Computing
− HPC Trends
− Advent Of Cloud Computing
• The Challenges Of Scale-
Out Computing
• HP In Scale-Out Computing
2 15 December 2008

3. Drivers of Scale-Out Computing
3 15 December 2008

4. Top Trends in HPC
HPC hit an all-time high of $11.5 billion in 2007
19% CAGR in server factory revenue over last 4 years
X86 and Linux still dominate
Clusters continue to gain shares across all segments
Mid- to low-end of the market continue to fuel the growth
Blades are making in-road to all segments
Oil/Gas, CAE, DCC and EDA are high growth areas
New challenges for datacenters:
Power, cooling, real estate, system management, system
consolidation
Storage and data management continue to grow in importance
IDC data; market remains hot; growing in strategic importance.
4 15 December 2008

5. TOP500 Performance Projections
1 Eflop/s
100 Pflop/s 1 Pflop/s
10 Pflop/s
1 Pflop/s
100 Tflop/s
10 Tflop/s SUM
1 Tflop/s
6-8 years
100 Gflop/s
N=1
10 Gflop/s
1 Gflop/s
N=500
100 Mflop/s
1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015
5 15 December 2008

6. Some interesting data
Eight years ago: ASCI White Today: one rack full of Bl2x220c
•#1 on the Top500 in June 2001
Peak performance: 12,288 Gflop/s Peak performance: 12,288 Gflop/s
Weight: 106 Tons (w/ 160 TB storage) Weight: ~2000 lbs (~1 ton) – 100x lighter
Power: 3MW Power: ~30KW – 100x less power
Cost: US$110 million Cost: ~ US$1M -- more than 100x lower
cost
6 15 December 2008

7. From rack-mount to blade
Example
configuration:
256-node cluster
w/ InfiniBand
BladeSystem Advantage
Power: up to 30% saving
Floor space: from 8 racks to 5 racks
Network cables: up to 78% less
And excellent manageability!
7 15 December 2008

8. HP in the Top500 (Nov’07)
HP BladeSystem www.top500.org
@ 28% share
1 20
21 40
41 60
61 80
• From launch in 81
101
121
100
120
140
June 2006 141
161
181
160
180
200
201 220
• Most popular 221
241
240
260
261 280
single platform, 281
301
300
320
with 151 entries 321
341
361
340
360
380
381 400
401 420
421 440
FootNote : TOP500 (Nov’ 08) 441 460
461 480
-209 entries for HP overall 481 500
-201 c-Class Blades @ 40% Share
HP c-Class HP other
8 15 December 2008

9. ‘EKA’, the world’s 13th fastest supercomputer and #2 in Asia,
delivering 175 Tflops peak performance, used for:
Advanced modeling and simulation in computational
sciences
Cutting edge R&D in HPC, Petascale design
Cloud computing research
Based on highly scalable, high efficiency HP core technologies
HP Cluster Platform 3000BL
1822 HP ProLiant BL460c server blades with 28 terabytes
memory
InfiniBand 4X DDR
HP XC cluster management, HP MPI message passing libraries EKA in CRL’s Rajiv Gandhi InfoTech
140 terabytes storage, HP SFS parallel file system Park HPC Facility, Hinjewadi, Pune
HP Smart Cooling data center services
“Computational Research Laboratories (CRL), a wholly-owned company of the Tata Group, India’s largest
conglomerate, used HP blades, cluster OS and technical assistance to design and implement the high
performance, high efficiency system EKA, the 8th fastest supercomputer in the world. HP’s highly scalable
core technologies, such as BladeSystem c-Class server blades and data center cooling services, have
helped CRL design and deploy EKA’s supercomputing infrastructure for cloud computing research with
Yahoo. This is the world's largest system used for research in cloud computing.”
S. Ramadorai, 2008
9
Chairman of CRL
15 15 December 2008
December

10. Cloud Computing is Changing the Game
reach
The
Cloud
The virtualized
services
Web
information &
e-commerce
The
Internet
connectivity
time
1970 1980 1990 2000 2005 2010 2020
10 15 December 2008

11. What do we mean by cloud?
Service providers Service users
The cloud is a means by which certain types of
highly scalable and flexible services can be
delivered and consumed over the internet
through a as-needed, pay-per-use business
model
What’s new?
New access:
New capabilities: New connections:
everything is a
multi-tenant software information in context
service
11
11 15-Dec-08
15 December 2008

12. Adaptive Infrastructure is the foundation
to all technology-enabled services…
Business outcomes
Business outcome
Technology-enabled services
Traditional applications Cloud-based applications
Infrastructure as a service
Internally hosted
Externally hosted
Infrastructure Utility Infrastructure Utility
Adaptive Infrastructure
standardized – optimized – Adaptive Infrastructure
standardized – optimized –
automated automated
automated
Pooled resources -- shared infrastructure Pooled resources -- shared infrastructure
12
12 15-Dec-08
15 December 2008

13. Targeting the Convergence of
Massive Scale-Out
Emerging business
models:
Best performance =
Enterprise/HPC
• Engineering &
Massive faster time to revenue
New metrics:
•
Geo-Sciences
Life & Materials Sciences Scale-Out Best performance
per $/watt/sq. ft.
• Defense/Security
• Financial Analytics
• Scientific Research
• Digital Content Creation
• Streaming Media Extreme pain points:
Data center constraints
Photo/Video of power, cooling, space,
Sharing Web 2.0
manageability & automation
• Internet Commerce of dynamic workloads
• Interactive Media
• On-Line Gaming
Market Requirements :
Optimized supply chain &
unique products and services
13 15 December 2008

14. The Challenges Of Scale-Out Computing
14 15 December 2008

15. Scale-Out Changes Everything
Traditional IT Scale-Out
Single core Multi-core
Single site Multi-site
100s of nodes 1,000s of nodes
Proprietary Commodity
HW resiliency SW resiliency
Max performance Max efficiency
Data Marts Data Super Centers
Systems Grids/Cloud
Static Dynamic
Cost-Center Revenue-Center
Shared storage Replicated storage
Facility costs Power costs
15 15 December 2008

16. Scale-Out challenges
• Grow the business
– Scale performance
– Rapidly integrate new capacity
– Deploy globally
• Physical data center constraints
– Power
– Cooling
– Density
• Control IT spend
– Reduce TCO
– Reduce software costs
– Ease of management and automation
– Vendor reach & reliability
Bridge the gap between scale and performance
16 15 December 2008

17. Data Center Challenges
• Datacenters constraining growth
− Density, power, and cooling demands outpacing
capacity in many data centers
• More energy efficiency needed
− Increasing energy costs driving focus on
improving power efficiency
• Faster capacity expansion required
− Companies outgrowing data center capabilities
and need immediate expansion space
• Increased focus on capital expense
Belady, C., “In the Data Center, Power and
Cooling Costs More than IT Equipment it
Supports”, Electronics Cooling Magazine (Feb
− Pay as you grow enables capex postponement,
2007)
and more efficient procurement
17 4/1/2008
15 December 2008 HP Confidential

18. HP In Scale-Out Computing
18 15 December 2008

19. HP Adaptive Infrastructure for Scale-
Out
Designed for
massive scale-out
Automate the
environment for
Dense
Software dynamic workloads
Servers Infrastructure
& Storage
Next-Generation
Data Center
Data Center Data Center
New baselines Infrastructure Services
Provide new business
for energy,
models for delivering
floor space
technology as a
& cooling
service
19 15 December 2008

20. Recent additions to HP’s Scale-Out
portfolio Announced
Announced July 16, 2008
May 28, 2008
Performance Optimized
Proliant BL2x220c Datacenter (POD)
• Double compute density • Industry-standard Flexibility
• Infrastructure costs in half • Best-in-class Density
• Maximum power & cooling • Fast & easy deployment
efficiency
• Energy Effectiveness
StorageWorks ExDS9100
Extreme scalability
Unified manageability
Extreme affordability
Announced
May 6, 2008
20 15 December 2008

21. Double the Compute Power in the
same 20MW Data Center
Expects the 2-in-1 blade
to save ½ a data center
Deliver movies to market faster, faster rendering,
increase creative productivity, take on more
projects at once
• Installed the first order for over 100 TeraFlops of
BL2x220c
• Recently deployed 200TF more of BL2x220c due
to success of first implementation
• 2x the performance - Same amount of power
in half the space
• Designed, tested, integrated, shipped and rapidly
deployed internationally
21 15 December 2008

22. HP innovating across the Scale-Out
value chain
Successful Scale-Out
Deployments
HP process innovation HP technology innovation
ISV partnerships & joint applications & development tools
HP-MPI, multi-core initiative
development
provisioning, monitoring, resource proprietary & open source s/w,
streamline for scale-out scheduling & mgmt integrated OS stacks
OS & networking integrated OS stacks,
direct R&D with customers IB in c-class
rapid & flexible deployment flexible compute services,
customized supply chain cluster platform
energy efficiency chip to chiller energy portfolio,
design for TCO c-class blades
data center consulting & services performance optimized
EYP MCF datacenter
compute & storage infrastructure c-class infrastructure, scale-out
custom engineered nodes optimized compute & storage
22 15 December 2008

23. The HP-Intel-Yahoo Open Cloud
Computing Research Test Bed
What is it?
An open, scalable, secure, large scale global test
bed for cloud computing research and education
Collaborative research focused on software, data center
management, hardware issues at a larger scale than
ever before; as well as support research on cloud
applications and services
Scalable, multi-continent, multi-datacenter, cloud
computing system
A broad base research community including HP, Intel,
Yahoo and other partners and academic researchers
23 15 December 2008

24. Open Cloud Computing Research
Testbed
Initial 6 “Centers of Excellence” around
the globe
Singapore IDA, UIUC, KIT, Intel Lab, Yahoo
and HP Labs
Specific research agenda to each region
external + internal nodes; fluid boundary
Each center: 1000-4000 cores and few
PB storage
base service: PRS (physical resource set)
required services: EC2, S3, and Hadoop-on-
demand
plus additional local
extensions/variants/service types
24 15 December 2008

25. HP - The Leader for Scale-Out
Environments
• Expertise in scale-out
computing
• Superior economics
• Innovative products and
services to address
emerging PetaScale &
Cloud Computing
• Global research initiative
and technology
partnership
25 15 December 2008

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