UD CONFIDENTIAL

Introduction to United Devices

10 July06

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CompanyHistory

• Founded in 1999, headquarters in Austin, Texas with offices in New Jersey, Ohio, Houston, Chicago, London, Paris, Pune – India

• 5th generation today - 1st generation technology delivered in late 2000 • Focused on large enterprise customers

• 7 of the Top 10 pharmaceuticals worldwide• Fortune 100 Manufacturing and Telecommunications• Key Government Agencies

• August 5, 2005 – UD acquires GridXpert Meta-Scheduling technology; Moves European HQ to Paris

What we do• Our PC-Grid and DRM solutions are implemented across a wide variety of

industries and applications• Provide Capacity Management solution to measure & monitor utilization

of your resources.• Meta-Scheduling across industry legacy DRM solutions in a

heterogeneous environment

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Customer Successes

EducationEducationGovernmentGovernment

-Materials modeling-Decryption-Bio-terrorism

-General research-Application development

- Providing Grid Solutions since 1999- 100+ customers- Numerous Enterprise-wide grid deployments

Life SciencesLife Sciences

-Drug discovery-Clinical development-Document rendering- Financial Services- Business Applications

ManufacturingManufacturing

-Crash simulation-Assembly interaction- Product Design

OtherOther

-Telecom-Oil & Gas-Philanthropic grids

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2005 Transaction Profile

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Problem

• We are repeating history• Heterogeneous and massively distributed environment• Reduced user collaboration and consistency• Ad-hoc IT procedures• Independent and peak-based procurement• Low utilization of resources• Minimal resource sharing across user groups• Skyrocketing TCO

1980s 1990s 2000s

Supercomputer Mini-Supercomputer Multi-Processor Servers Proprietary Clusters Commodity Clusters

HPC Evolution

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

2003 2004 2005 2006 2007 2008

Units Sold

Source: IDC 2005

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Project A

Dept A

Project B

Dept B

Project C

Dept C

Project D

Dept D

Islands of HPC

Departmental usage promotes independent HPC solutions

A separate installation required to integrate these instances

Addition of more nodes requires manual installation

Fast depreciating and expensive resources are mostly underutilized

Sub-optimal allocation of jobs and application to resources

Relies on a variety of OS services being available

HPC instance A HPC instance B

HPC instance C HPC instance D

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Project A

Dept A

Project B

Dept B

Project C

Dept C

Project D

Dept D

The HPC Grid Computing Model

10x reduction in cost – millions of dollars in savings

Nearly 100% resource utilization

Enterprise-wide use for appropriate applications

Preserve departmental control of policies and access controls

Single virtual system view for application developers, administrators, users

Asset appreciates over time – Moore’s Law

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Fundamental Capabilities from UDProduct:

• Security to pass the most stringent audits

• Scalability across heterogeneity• Flexible application framework• Dynamic, policy based provisioning• ROI centric software and business

design decisions

Methodology:• UD Services that align with grid adoption

curve• Incremental wins with demonstrable ROI• Balances departmental autonomy and

centralized control• HPC Collaboration

Experience:• Deploying and operating the world’s

largest grids• Distributed computing domain expertise

Grid Adoption

DepartmentalDepartmentalAdoptionAdoption

ConsolidationConsolidation Enterprise Enterprise ExpansionExpansion

FutureFutureInnovationInnovation

Effort

BusinessValue

Initial Initial EngagementEngagement

Activity Types• Planning• Deployment• Infrastructure• Application

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Life Sciences• Proteomics• Genomics• High-Throughput

Screening• Clinical Trials• Bio-Medical Engineering• Data Mining

Geosciences• Reservoir Modeling• Seismic processing

Financial Services• Risk Analysis• Valuation• Pricing Derivatives• Commodity Pricing

Where UD Grids Help Today - Industry Applications

Manufacturing– Finite element analysis– Computational fluid

dynamics– Crash test simulations– Inventory management

Computer-Aided Design – Verification simulation– Package Design– Synthesis– FPGA design

Multimedia– Library encoding– Graphics rendering– Image compression

Defense & Security– Decryption– Language Translation– Battle simulation– Intelligence gathering– Image analysis– Pattern recognition– Network warfare– Vulnerability Analysis– Steganography

Data Analysis– ETL– Statistics– ERP– Fraud Detection

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ClustersDedicated Nodes

ClustersDedicated Nodes

HPC Management Solutions

PC GridsNon-dedicated

PC GridsNon-dedicated UtilityUtility

Overflow

Infr

astr

uct

ure

Lay

er

InsightData

Warehouse

Man

ag

emen

t L

ayer

HPC Insight

HPC Synergy (Meta Scheduling)

Job Setup and Submission

Utilization Forecasting ChargebackCapacity

LicensingBalancing

Workflow Scheduling APIPortal

Firewall

LSFLSFLSFLSFLSFSGE

LSFLSFPBSLSFLSFLL

LSFLSFCondorLSFLSFCS

Optimizer Overflow

LSFLSFPC Grid

Other Non-dedicated NodesOther Non-dedicated Nodes

VC VC VC

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Meta Scheduling Solution – HPC Synergy

LSFLSFLSFLSFLSFSGE

LSFLSFPBSLSFLSFLL

LSFLSFCondor

OpenSource

FreeDistribution

LSFLSFCS

HPC Synergy (Meta Scheduling) LicensingBalancing Optimizer Overflow

LSFLSFPC Grid

• Multi-domain meta-scheduler• Job & Application Abstraction Layer• Job Workflow Model• Collaborative Data Management• License Management

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Today’s Computing Environments

Which login?

Which location?

Data transfers?

Resource m

Location p

Resource n

Location q

User i

Location u

User j

Location v

How much does it cost?

Which script syntax?

Which resource?

A complex puzzle for business end users

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Configuring Applications

Users

SNLLLNL

LANL

Platform Platform Platform

Project Project

Services Services Services ServicesServices

Business

Application Services

Resources

Data Space Data SpaceData Space

Application

Directory

ApplicationDefinition

Application Application Application

JobsJobs

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HPC Synergy – Job Submission

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HPC Synergy Differentiators

• Heterogeneous – Works with all legacy DRM products: LSF, PBS, SGE, Condor, ……

• Ease of use - Homogeneous way for end-users to submit jobs and processes on different computing environments

• Meta-scheduling - Dynamic distribution of jobs over heterogeneous compute environments and Data transfer & access optimization

• Virtualization - Resources, applications, data and associated workflows

• Dynamic management - Add/remove platforms/resources depending on availability and load, change queuing, etc.

• Monitoring of resources, applications, licenses, and charge back capabilities

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Virtual Cluster Solution

• GridMP runs underneath LSF, SGE, or PBS

• Non-disruptive to the User – still uses legacy DRM scripts

• No UD imposed node limit or OS type restrictions

• No UD form factor restrictions (servers, workstations, clusters, PC’s)

• Access to unlimited capacity – anywhere in the enterprise

LSFLSFLSFLSFLSFSGE

LSFLSFPBSLSFLSFLL

LSFLSFCondor

OpenSource

FreeDistribution

LSFLSFCS DW

Other Non-dedicated NodesOther Non-dedicated Nodes

VC VC VC

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Virtual Cluster Overview

Real-time and Historical Analytics

No Impact to Current User Processes• Option to use existing job submission layer or United Devices DRM• Access to extensive operational data and analytics

No Impact to Current User Processes• Option to use existing job submission layer or United Devices DRM• Access to extensive operational data and analytics

Job Submitted

Virtual Cluster Speeds Processing and Throughput• Existing dedicated and non-dedicated nodes employed to accelerate processing and increase throughput• Reduced purchasing of new nodes

Virtual Cluster Speeds Processing and Throughput• Existing dedicated and non-dedicated nodes employed to accelerate processing and increase throughput• Reduced purchasing of new nodes

Application Processing

Drill Down into Operational Analytics• Data from grid- and non-grid enabled computing nodes aggregated for unified reporting

Drill Down into Operational Analytics• Data from grid- and non-grid enabled computing nodes aggregated for unified reporting

Utilize Processing Analytics

Ethernet

Interconnect

Dedicated Nodes

Non-Dedicated Nodes

Head Node• Job Scheduler• Cluster Mgmt• United Devices Resource Manager and DRM Bridge

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Capacity Management Solution HPC Insight• Aggregated capacity & utilization from disparate HPC resources

• Unobtrusive access scaling to fully managed

• Can export data to other reporting utilities

• Integrates w/ HPC Synergy to optimize application/resource bindings

• Stand-alone utility or full integration / feedback loop to Synergy

LSFLSFLSFLSFLSFSGE

LSFLSFPBSLSFLSFLL

LSFLSFCondor

OpenSource

FreeDistribution

LSFLSFCS

HPC Synergy (Meta Scheduling) LicensingBalancing Optimizer Overflow

LSFLSFPC Grid

HPC Insight UtilizationCapacity Forecasting Chargeback

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HPC Analytics Solution

• HPC Insight product and professional services• Step 1: Measure what you have• Step 2: Understand/Interpret infrastructure and usage information• Step 3: Create a plan for capacity optimization

- Inventory- Capacity- Utilization

HeterogeneousHPC Environments

- VP of R&D IT- VP of HPC Strategy- Finance

HPC Insight

UsersApplications

UsersApplications

UsersApplications

Professional Services

Capacity Optimization Plan

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ApplicationsUsers ApplicationsUsers ApplicationsUsers

Adapter AdapterAdapter

DataWarehouse

HPC Insight

How HPC Insight Works

• SunSGE• Platform LSF• Altair PBS Pro• Altair Open PBS• Condor• UD Grid MP

• SunSGE• Platform LSF• Altair PBS Pro• Altair Open PBS• Condor• UD Grid MP

Legacy Grid Products

Capacity/Utilization• Users• Applications• Jobs• Clusters and Grids• Compute Nodes

Capacity/Utilization• Users• Applications• Jobs• Clusters and Grids• Compute Nodes

Data Collected• Collect Data

• Aggregate• Transform• Normalize

• Summarize• Report

• Collect Data• Aggregate• Transform• Normalize

• Summarize• Report

Automated Actions

NativeArtifacts

NativeArtifacts

NativeArtifacts

HPC Insight

Grid MP AGrid MP A

Grid MP BGrid MP B

OtherOther

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HPC Insight – Capacity Summary

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Drill Down to Detail Reports

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Utilization Summary

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Application Utilization

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Share Data With Other Tools

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MP Insight

- Grid Performance - Utilization Details- Capacity Planning

Grid MP-ManagedEnterprise Grid Environment

A capacity analysis and reporting product providing adetailed view of Grid MP utilization activity

• Identify Capacity and Utilization Trends

• Inform Grid Performance and Workload Optimization

• Provide Highly Detailed Job Accounting and Auditing

- IT Managers- System Administrators- Application Developers

UsersMP Insight

Users Applications

ClustersServers

Workstations

Users Applications

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Accounting

• Detailed Grid Usage Chargeback Reports

• Track Job Execution Details

• Resource Utilization Detail for Compliance Audits• Capture where jobs ran to document compliant machine usage

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Performance and Workload Optimization

• Review Grid Workload Over Any Time Period• By Application• By User• By Resources

• Review Performance Metrics• By Application, Job, Device Group

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Drive Grid Utilization

• Review Capacity Reports with IT Managers and Prospective Users

• Review Utilization Reports with IT Managers and User Prospects

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Capacity - Summary

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United Devices Partnership A Strategic Contribution to your Success

• Most practical method of providing a centralized HPC service

• Heterogeneous philosophy is unique and an absolute requirement

• Unprecedented level of visibility and control over the HPC environment

• Guaranteed certainty that the optimal set of resources are applied to each request – every time

• Proven methodology to incrementally move towards centralized HPC management while retaining end-user autonomy

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Testimonials

“We invested roughly $400K in grid software and figure we saved at least $2 million” – Manuel Peitsch, Novartis

“If you look at dedicated clusters versus a more flexible [grid] environment where you can take advantage of both new acquisitions and existing systems through a single tool, it’s just a better way to invest your money.” – Jeff Mathers, Director of Research Innovation at Johnson & Johnson PRD, where they saved US$1 million in first year of production

“It will help us avoid other investments in high-performance computing data servers.” Steffen Neumann, Project Manager for Consulting and Partnerships DaimlerChrysler Research

“The Grid MP platform keeps track of all the data related to our job runs – where the job was executed, what type of machine, how long it took. So not only does the grid save us time, but in automating this function it allows us to define a validated process for job execution. That goes a long way toward achieving FDA compliance.” Mark Sale, Global Director of Research Modeling and Simulation - GlaxoSmithKline

“We're running between 8000 and 10,000 runs a day – an amount that was impossible before, without using our supercomputers.” Dr. David Moffet, Associate VP of Research Computing Purdue University

“[Grid MP] allows us to simulate very high-speed electronics, without investing in expensive new hardware. Because the performance is faster with the grid, we are able to produce even higher quality results for our clients while passing on the cost savings this speed of production allows." Brian Von Herzen, President - Rapid Prototypes

“[Grid MP] allows us to simulate very high-speed electronics, without investing in expensive new hardware. Because the performance is faster with the grid, we are able to produce even higher quality results for our clients while passing on the cost savings this speed of production allows." Brian Von Herzen, President - Rapid Prototypes