Optimizing IT Deployment Issues

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Optimizing IT Deployment Issues

Trends and Challenges for Engineering Simulation

Barbara Hutchings

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Outline

Deployment Challenges and Trends

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Extreme scale up and scale out

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Enterprise deployment / remote access

•

Data management

•

Connection to PLM

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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 HPC Linköping University, SWEDEN

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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”

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Access to 100x HW capacity, perhaps intermittently

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Job automation

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Failure recovery and high availability

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Network bandwidth and extreme data load

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Enterprise Deployment of Simulation

Local computing infrastructure for simulation is being replaced

by centralized HPC resources, shared by a globally

distributed workforce.

HPC

Users

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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

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Fail-proof enterprise licensing

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Controlled SW version updates; backward compatibility

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Job scheduling/prioritization

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Remote interactive access and remote visualization tools

● Critical, given file size and transfer time

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Level 0 : Local Computing

• Pre / Solve / Post on local desktop system

• Files stored locally under individual control

• Inherent capacity limitations; also limits collaboration and data management

Level 1: Remote Batch

• Pre / Post on local desktop system

• Batch solve conducted on ‘remote’ HPC resource

• Bottlenecks related to file transfer and limitations of local hardware (e.g., can’t postprocess large files on local machine)

• Remote access and job management also challenging.

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Level 2: Remote Interactive Workflow

Remote HPC Resource

Data Storage

Pre / Solve / Post / EKM

Mobile User doing “Full Remote Simulation” Web Browser Access Remote 3D Visualization Server Remote 3D Visualization •Schedule / provision HW resources •Launch application

•Launch remote visualization tool for interactive use •Access data (EKM) •Monitor job progress

• Full simulation process conducted via remote access (Pre/Solve/Post)

• Files reside at the HPC resource – for efficiency, enhanced data management, collaboration

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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

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Long-term storage and backup

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System for cataloging and finding simulation files for re-use

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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

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Connecting Simulation to PLM / PDM

Pull functional requirements or geometry from PLM

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Maintain version control between simulation and PLM (e.g., EKM updates)

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Simulation may precede geometry

Return simulation results to PLM

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Associated to the master model , with full data storage likely outside PLM

ANSYS EKM

Windchill

Teamcenter Matrix One Smarte am

EKM Datalink

Functional Spec Geometry, Attributes Simulation Report

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Cloud Computing

Cloud = remote access to elastic infrastructure

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Scale up compute capacity and data storage, intermittent workloads

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

But challenges remain for

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Remote workflow (file transfer, visualization, remote interactive access)

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IP protection, export compliance and data sharing

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

ANSYS focus

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Improved remote simulation workflow

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

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ANSYS and Cloud Computing

Third-party hosted and operated Enterprise data center Enterprise data center

Private cloud Hosted private

cloud Managed private cloud Enterprise A Enterprise B Public cloud services A Users B Third-party

operated Third-party hosted _{and operated}

Hosted cloud Public cloud

Remote workflow focus

“Bring your own license”

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“Hosted Cloud” ANSYS Partnerships

Dedicated HPC clusters are available from ANSYS partners

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Access via simple VPN or elegant web interfaces

“Bring Your Own License” model

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Hosting partner serves the license on their HW

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Or – can often access your on-premise license

Hosted Cloud Hardware

License server

Customer License ANSYS

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“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