UberCloud Webinar ansys azure
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The webinar discusses running ANSYS simulations in the cloud on Microsoft Azure using UberCloud, highlighting how it provides 53% faster performance than on-premise clusters for a 100 million element ANSYS airfoil benchmark, allows scaling simulations from 32 to 512 cores, and offers benefits like lower total cost of ownership, global accessibility, and elastic licensing based on core-hour usage.
UberCloud Webinar ansys azure
- 1. UberCloud Webinar: ANSYS on Azure! Presenters David Waltzman Head of Sales UberCloud Ebru Taylak Marketing Manager UberCloud
- 2. The World of HPC Has Changed Engineering Expertise is Expensive Cheap Compute Power Technology Moving Fast 72.7% cheaper As measured by a 20% utilization of 256 core inhouse system. Study based on IDC data.
- 3. Time to Take Your ANSYS Simulations to the Cloud? Time to Final Design Compute Time Engineering Challenges Compute Time Limited Accessibility IT Challenges Total Cost of Ownership Deployment Maintenance & Support Slow simulations
- 4. Boost ANSYS Performance with Azure ANSYS Fluent ANSYS CFX ANSYS Mechanical ANSYS HFSS ANSYS Discovery Live UberCloud is an ANSYS Advanced Solution Partner.
- 5. Analysis The UberCloud-Azure Environment performed 53% faster than a 2 year old on-premise cluster with identical core counts 0 200 400 600 800 1,000 1,200 1,400 16p1n 32p2n 64p4n 128p8n 256p16n416p24n512p32n SolverRating Cores 0 50 100 150 200 250 300 350 SolverRating Case Details • Transonic flow around an airfoil. Flow is 2D – the mesh is extruded to give 3D meshes of various sizes o Turbulent SST, ideal gas, heat transfer o Default advection scheme (high resolution) • Global mesh size: 104,533,000 nodes 103,779,720 hexahedral elements Benchmark Details • Suitable for 100s of partitions • Number of iterations: 5 • Uses Large Problem Partioner • Partitioning memory requirement: 28GB • Partitioning time: 15min on Intel 5670 • Solver memory requirement (total): 140GB Analysis UberCloud container environment consistently showed strong scalability from 32cores to 512 cores on Microsoft Azure H-Series instances with InfiniBand On-premise Cluster Azure-UberCloud ANSYS 100M Airfoil Benchmark 53% faster Comparison of wall clock solution (solver) time as reported by CFX benchmark ANSYS Performance on Azure
- 6. BYOL Perpetual or Leased Licenses. ANSYS Elastic Licensing with ANSYS Elastic Units (AEU) Based on core-hour usage and solver. - ANSYS HPC Packs - ANSYS Parametric Packs ANSYS Licensing in the Cloud Example Scenario Large model, calculation time 13 days. Elastic Licensing - Use AEU for FLUENT and HPC Packs Prices include high performance hardware on Azure, UberCloud license & service, and additional license cost for Fluent and HPC packs. Reduce Cost by Choosing Licensing That Matches Your Needs Scale Up On Prem HPC Example ANSYS Fluent Benchmark Model www.ansys.com
- 10. FASTER TIME TO MARKET GLOBAL ACCESSIBILITY UNLOCK NEW CAPABILITIES There are huge benefits for engineers CONFIDENCE IN YOUR ANALYSIS
- 11. Software Maintenance ANSYS upgrades ! (typically 4 times a year)! Benchmarking Benchmarking your model on different Azure cluster sizes using ANSYS benchmarking models! Ongoing Operations Adding/removing nodes from the cluster (this is a big benefit and money saver since the entire cluster is not needed 7x24 at peak capacity)! Support Break fix services when cluster nodes fail! Training Training on how to use the services (transfer files, monitor jobs, etc)! Initial Setup Setting up and validating ANSYS software, MPI (parallel processing) on the Azure cluster ! Also great benefits for IT $ Lower TCO
- 12. Case Studies and Resources visit: https://www.theubercloud.com/case-studies
- 13. Airbag Simulation with ANSYS LS-DYNA Experiment performed to better understand airbag inflation behavior under dynamic conditions. Air bag inflation performed with different mesh densities. Simulation time for highly fine mesh models reduced drastically, to under 30 minutes. Airbag un-deformed and deformed shape. ANSYS Case Study
- 14. Modeling Airflow Through an Engine Intake Manifold ANSYS Case Study Study was performed to understand the flow characteristics of the engine intake manifold. HPC cloud computing environment with ANSYS workbench and FLUENT drastically reduced pre-processing, post- processing and simulation run times. 770K cell size model was completed in ~5 minutes. Comparison in solution time for different mesh densities Geometry and mesh model for air intake manifold
- 15. Aerodynamics and Fluttering Study of an Aircraft Wing Aero elastic behavior and flutter instability of an aircraft wing in the subsonic incompressible flight speed regime are investigated using fluid to structure interaction. The Cloud HPC setup for the very fine mesh (12M cells) completed the simulation within 2.25 hours. Model setup with ANSYS Workbench environment. ANSYS Case Study