Optimizing IT Deployment Issues Trends and Challenges for Engineering Simulation Barbara Hutchings barbara.hutchings@ansys.com 1
Outline Deployment Challenges and Trends Extreme scale up and scale out Enterprise deployment / remote access Data management Connection to PLM Cloud computing 2
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 3
Deployment Challenges and Trends 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 4
Deployment Challenges and Trends Enterprise Deployment of Simulation Local computing infrastructure for simulation is being replaced by centralized HPC resources, shared by a globally distributed workforce. HPC Users 5
Deployment Challenges and Trends 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 6
Levels of Remote Access 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. 7
Level 2: Remote Interactive Workflow Mobile User doing Full Remote Simulation Web Browser Access Schedule / provision HW resources Launch application Launch remote visualization tool for interactive use Access data (EKM) Monitor job progress Remote HPC Resource Pre / Solve / Post / EKM Remote 3D Visualization Server Data Storage Remote 3D Visualization Full simulation process conducted via remote access (Pre/Solve/Post) Files reside at the HPC resource for efficiency, enhanced data management, collaboration Feasible and implemented today by best-in-class 8
Deployment Challenges and Trends 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 longterm 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 9
Simulation Data Management ANSYS EKM Executes simulations and generates data Web Browser (IE, Firefox, etc.) Application Server (Jboss, etc.) Compute Cluster Stores metadata Firewall ANSYS EKM Content Management Repository (Jackrabbit, etc.) Relational Database (Mysql, Oracle, DB2, etc.) Desktop Application (ANSYS Workbench, VB, etc.) File Server (http, ftp) Repository of all archived files and applications 10
Deployment Challenges and Trends Connecting Simulation to PLM / PDM ANSYS EKM Functional Spec Geometry, Attributes EKM Datalink Simulation Report MatrixOne Windchill Smarteam Teamcenter 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 11
Deployment Challenges and Trends 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 12
ANSYS and Cloud Computing Enterprise data center Enterprise data center Enterprise A Enterprise B A Users B Third-party operated Third-party hosted and operated Third-party hosted and operated Public cloud services Private cloud Managed private cloud Hosted private cloud Hosted cloud Public cloud Remote workflow focus Remote workflow focus Bring your own license 13
Hosted Cloud ANSYS Partnerships Dedicated HPC clusters are available from ANSYS partners Access via simple VPN or elegant web interfaces Bring Your Own License model Hosting partner serves the license on their HW Or can often access your on-premise license ANSYS Customer License License server Remote access HW Hosted Cloud Hardware 14
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 15