© 2007 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

Technology for better business outcomes

Enhancing CAE With HP and Platform Computing

Dennis Ang

High Performance Computing

6 November

© 2007 IDC

Top Trends in HPCTop Trends in HPC

HPC hit an all-time high of $11.5 billion in 2007

� 19% CAGR in server factory revenue over last 4 yearsX86 and Linux still dominate – no surprise

� Clusters continue to gain shares across all segments Mid- to low-end of the market continue to fuel the growthBlades are making in-road to all segments

� Oil/Gas, CAE, DCC and EDA are high growth areasNew 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.

6 November

© 2007 IDC

HP leads

• HPC market overall 4 years running

• Cluster space, driving HPC market

• Blades, the optimal clusters solution

CY07 HPC by vendor

IBM 30%

Other 19%

DELL 14%

HP 37%

CY07 HPC clusters by vendor

Other 16%

DELL 24%

HP 36%

IBM 24%

HP leading the HPC marketHP leading the HPC market

Source: IDC Q2CY08 QVIEW (IDC SEP 2008)

HP CAE Reference Architecture

computeclusters

computeclusters

computeclusters

computeclusters

DAS(or use SFS)

Client Workstations

Job scheduler

computeSMPs

computeclusters

computeclusters

pre/postSMP

ScalableFile Share

LAN

InfiniBand switched fabric interconnect

Remote WorkstationsRGS

visualizationcluster

Modeling

(CAS, Clay, CAD)

Pre-processing

(meshing)Simulation

Post-processing

(visualization) Result

Morphing: surface or volumetric

Shape mod of CAS/CAD data

(* = emerging capability)

DP = double precision math

CAE Domain: Pre/Post Structures Impact Fluids

Parallelized Serial (SMP*) SMP (MPI*) HP-MPI HP-MPI

Typical Job Scalability

(# cores per 1 job)1 (4*) 1 – 4 (8*) 2 – 64 4 – 256

Multi-core WS Solutions 2 to 4 Cores 4-8 Cores 8 Core 8 Core

Typical WS Memory config2 – 8GB

per core

4 – 8GB per core

4 – 8GB per core

4 – 8GB per core

Disk recommendations SASi SAS SAS SAS

Server Solutions SMP serverIntegrity

(if DP, Integrity)x64 cluster

(if DP, Integrity)x64 cluster

Typical Memory (Server)32 – 128 GB per

node16 – 64 GB per node

2 GB /core(if DP, 4 GB)

1-2 GB /core

Typical Disk (server) NAS / SANStriped Array or SFS for Scratch

1x146GB /node(mirror option)

1x146GB /node(mirror option)

CAE Solution Characteristics

HPC Server Platforms

HP ProLiantServers

HP BladeSystemc-Class Servers

HP Integrity Servers

The world’s best-selling rack-mountable servers, meeting a broad range of HPC applications requirements

The ideal platform for HPC clusters, delivering performance, density, efficiency and manageability.

Highly scalable servers for large memory, SMP and database work-loads, in mission-critical HPC environments

77 6 November 2008

Unified Cluster Portfolio

HPC cluster services

HPC application, development and grid software portfolio

Scalable visualization

Scalable data management

HP cluster platformsHP ProLiant and Integrity servers, HP BladeSystem, multiple interconnects

Operating environment and OS extensions

HP_UX Linux Windows

Cluster management layer

ClusterPackXC, CMU and Insight

ControlMicrosoft Windows

CCSPartner software

November 6, 2008 8

BladeSystem c-Class has been embraced in the marketplace

3rd “Best in Show” in a row as voted by attending CIO’s of midmarket companies

Midmarket Summit

Tech innovator of the Year award Server Hardware category for the second year in a row.

Seven quarters of clear leadership since launch

HP's Virtual Connect Architecture Wins Product of the Year Award!

Data from Gartner Server tracker Q108, x86 Blades

47.2%

53.3%

32.3%

24.8%

8.0% 8.4%

0%

10%

20%

30%

40%

50%

60%

Q306 Q406 Q107 Q207 Q307 Q407 Q108 Q208

HP

IBM

Dell

Sun

BladeSystem c3000Winner in Best Blade System Category 2008

176 of the top 500 supercomputers in the world run on c-Class

(TOP500 June 08 list)

9 6 November 2008

HP ProLiant BL2x220c G5

BL2x220c G5

Features per node - 2 nodes per blade

ProcessorUp to two Dual or Quad-Core

Intel® Xeon® processors

Memory

• Registered DDR2 (533/667 MHz)

• 4 DIMM sockets

• 16GB max memory with 4GB DIMMs

Internal Storage 1 Non Hot-Plug SFF SATA HDD

Networking 2 integrated Gigabit NICs

Mezzanine Slots 1 PCIe mezzanine expansion slot (x8, Type I)

Management Integrated Lights Out 2 Standard Blade Edition

Density16 server blades in c7000 (10U enclosure)

8 server blades in c3000 (6U enclosure)

New

A historical perspective

Peak performance: 12,288 Gflop/s

Weight: 106 Tons (w/ 160 TB storage)

Power: 3MW

Cost: $110 million

Eight years ago: ASCI White

•#1 on the Top500 in June 2001

Today: one rack full of Bl2x220c

Peak performance: 12,288 Gflop/s

Weight: more than100x lighter

Power: more than100x less power

Cost: more than 100x lower cost

11

From rack-mount to blade

BladeSystem Advantage

Power: up to 30% saving

Floor space: from 8 racks to 5 racks

Network cables: up to 78% less

And excellent manageability!

Example configuration:

256-node cluster

w/ InfiniBand

Cluster Platform Workgroup System(CPWS)

• A winner for the mid-market and volume cluster space

− 1.5Tflop/s peak performance in 2 sq. ft. floor space

• 3.0Ghz, 4 flops/cycle, 128 cores

− 3x4x128=1536Gflop/s=1.5Tflop/s

− No special power & cooling required*

− GigE and IB – no network cables

* Site planning may be required to make sure there is sufficient power draw from the circuitry

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HP Cluster Platform Workgroup System• Up to 8 server blades in HP

BladeSystem c3000 -- a simple, compact design with customer needs in mind

− 809 Gflops in a 2 sq ft footprint

− Plug into 110V or 220V wall power

− No special cooling required

• Gigabit Ethernet and InfiniBandinterconnect options

• Choice of Linux cluster systems or Microsoft Windows CCS

• Ideal for compute intensive workloads in CAE , …

Up to 64 cores of processing power to tackle serious workloads

BL46Xc

SB40c

BL46Xc

Compute node

Control/compute nodes

Expansion room for more compute

nodes

BL46Xc

BL46Xc

Storage blade

Windows CCS or Linux

14

Compact and hassle-free packages

• c3000 – mount into standard racks

• Standalone option

15

Why HP-MPI for cluster computing?

Features ISV & End User Benefits Results

Portability Application independence from switch, OS, CPU type, development tools ...

Fewer qual tests; more productive engineers

Robustness Bulletproof run time execution; new versions backward compatible

Increased system utilization factors

Performance Parity or performance gain over alternative MPIs

HP-MPI is high performance MPI

Support by HP Superior support to public domain or other commercial MPI libraries

Fast, dependable response to issues

Applications Broad ISV adoption ensures application availability on widest choice of platforms

User applications easily installed

16

ISVs are standardizing on HP-MPI

Powerful Solver Technology

AMLS

MolproUniversity of Cardiff

17

Why HP & ANSYS?

• Broadest Choice of Cluster Solutions

− HP is only hardware vendor to offer cluster solutions using all 3 industry-standard architectures ANSYS has chosen to support: Opteron/Xeon/IA-64

• Strong Technical and Customer-Focused Partnership

− ANSYS distributes HP-MPI for both HP and non-HP Linux clusters

− Expert HP Solution Engineers for ANSYS Mechanical, FLUENT, and ANSYS CFX have assisted on porting, optimization, and customer support for over a decade

− Leadership in CAE from both companies guarantees joint global sales & support is strong for our customers

• Performance Leadership

− Reliable history of consistent leadership and gains in raw performance and price/performance

Advancing innovation through high-productivity computing

• Leading innovation

− Performance

− Efficiency

• Standards-based economies

− Simplicity

− Affordability

• Time-proven confidence

− Expertise

− Reliability