hpc and it issues - ansys · deployment challenges and trends cloud computing cloud = remote access...

© 2011 ANSYS, Inc. September 1, 20111

HPC and IT Issues

1:00 – 4:00 PM

Wednesday, August 31

ANSYS User Conference

Houston, TX


Deployment of Simulation (Trends and Issues Impacting IT)

– Discussion

Mapping HPC to Performance (Scaling, Technology Advances)

– Discussion

Optimizing IT for Remote Access (Private / Public Cloud Computing)

– Discussion

Break

Let’s Talk about Hardware (Specifying HW for ANSYS)

– Discussion

ANSYS Roadmap (Toward aligned IT Planning)

Tomorrow

1:1 Meeting Time

HPC and IT Issues

Session Agenda


Deployment of Simulation Trends and Challenges Related to IT


Outline

ANSYS and High Performance Computing • Value to Engineering

Deployment Challenges and Trends• Extreme scale up and scale out

• Enterprise deployment / remote access

• Data management

• Connection to PLM

• Cloud computing


Why ANSYS Users Need HPCInsight you can’t get any other way

HPC enables high-fidelity • Include details - for reliable results

• Be sure your design is “right”

• Innovate with confidence

HPC delivers throughput• Consider multiple design ideas

• Optimize the design

• Ensure performance across range of conditions


Deployment Challenges and Trends

Infrastructure for Extreme Fidelity

Simulation allows engineering to know, not guess – but only if IT can deliver dramatically scaled up infrastructure for “mega” simulations.

IT asked to deliver • Memory capacity for 1B cell models (1 TB RAM)

• 1000s of cores per mega simulation

• Data storage for files in excess of 1 Tbyte

• Scale-out licensing (e.g. ANSYS HPC Packs)

LES Fluid Mixing 160M cell model

1000 core HPCLinköping University, SWEDEN



Infrastructure for Design Exploration

Product integrity requirements imply using simulation for robust design and optimization, which increases simulation workload by 100x

IT implication is profound “scale out”• Access to 100x HW capacity, perhaps intermittently

• Job automation

• Failure recovery and high availability

• Network bandwidth and extreme data load

• Licensing for 100x workloads



Enterprise Deployment of Simulation

Local computing infrastructure for simulation is being replaced by centralized HPC resources, shared by a globally distributed workforce.

HPC

Users



Enterprise Deployment of Simulation

Local computing infrastructure for simulation is being replaced by centralized HPC resources, shared by a globally distributed workforce.

IT-related challenges• Fail-proof enterprise licensing

• Controlled SW version updates; backward compatibility

• Job scheduling/prioritization

• Remote interactive access and remote visualization tools

● Critical, given file size and transfer time

• Data sharing by distributed work teams; data management



Simulation Data Management and Storage

Access to simulation results is required over the full product lifecycle. Re-use of previous simulations is important for engineering efficiency. Regulation and liability imply long-term archival storage.

IT needs to provide• Long-term storage and backup

• System for cataloging and finding simulation files for re-use

• Ability to relate simulation files and master models in PLM system


Simulation Data Management

ANSYS EKM

Web Browser (IE,

Firefox, etc.)

Firewall

Desktop Application (ANSYS

Workbench, VB, etc.) File Server(http, ftp)

Relational Database(Mysql, Oracle, DB2, etc.)

Compute Cluster

Application Server(Jboss , etc.)

Content Management Repository (Jackrabbit, etc.)

ANSYS EKM

Stores

metadata

Executes simulations

and generates data

Repository of all archived files and applications



Connecting Simulation to PLM / PDM

Pull functional requirements or geometry from PLM • Maintain version control between simulation and PLM (e.g., EKM updates)

• Simulation may precede geometry

Return simulation results to PLM• Associated to the master model , with full data storage likely outside PLM

ANSYS EKM Windchill

Teamcenter

Matrix

One

Sm

arte

am

EKM Datalink

Functional SpecGeometry, Attributes

Simulation Report



Cloud Computing

Cloud = remote access to elastic infrastructure• Scale up compute capacity and data storage, intermittent workloads

• Private cloud (internal elastic provisioning) or outsourced HPC on public cloud

But challenges remain for• Remote workflow (file transfer, visualization, remote interactive access)

• IP protection, export compliance and data sharing

• Optimized use of on-premise vs. “remote” systems

ANSYS focus• Improved remote simulation workflow

• Enable / encourage seamless use of remote (or 3P hosted) hardware

● “Bring Your Own License” model


“Take Home” Points / Discussion

IT infrastructure is “mission critical” for extracting high value from simulation

● Key emerging strategy topic for ANSYS and for our customers

Scalability for next generation simulation workloads is key

● Scale Up and/or Scale Out

Enterprise deployment and cloud computing share technical challenges

● Remote interactive access and visualization, file transfer, IP protection

Data management strategy is critical for effective collaboration and re-use

● Connection to PLM, where applicable

Comments / Questions / Discussion

hpc and it issues - ansys · deployment challenges and trends cloud computing cloud = remote access...

Documents