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Team 56: Simulating
Radial and Axial Fan
Performance
Team Members
• Resource Provider: Gompute
• Category: Aerodynamics
• Expertise Provider: Eleks
• Software Provider: ANSYS
Team 56
• Aim was to evaluate the HPC cloud service
without need to obtain new engineering
insights
• Basic test case was chosen
• Case with results from the end user’s own
cluster with a minimum of confidential
content
Resources Used by Team
• ANSYS Fluent
• HPC in the Cloud
Significant Challenges
• High costs for hardware and licenses
• Client has a highly fluctuating load with
regard to simulations
• Current on-site cluster rarely has the correct
capacity
Major Benefits
• East of use
• Post- and pre-processing can be done
remotely
• Excellent opportunity to test the state of the
art in cloud based HPC
Main Conclusions and
Recommendations
• HPC in the cloud is technically feasible
• Most remaining issues are implementation related
and resource provider should be able to solve
• Remote visualization solution was good and
allowed user to perform some real work
• Stress test with multiple users from same company
remains unknown
• Value of the HPC in the cloud solution is limited by
absence of appropriate licensee models
More Information
• More information available via:
https://www.theubercloud.com/experiments
/team-56-simulating-radial-and-axial-fan-
performance/

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Simulating Radial and Axial Fan Performance

  • 1. Team 56: Simulating Radial and Axial Fan Performance
  • 2. Team Members • Resource Provider: Gompute • Category: Aerodynamics • Expertise Provider: Eleks • Software Provider: ANSYS
  • 3. Team 56 • Aim was to evaluate the HPC cloud service without need to obtain new engineering insights • Basic test case was chosen • Case with results from the end user’s own cluster with a minimum of confidential content
  • 4. Resources Used by Team • ANSYS Fluent • HPC in the Cloud
  • 5. Significant Challenges • High costs for hardware and licenses • Client has a highly fluctuating load with regard to simulations • Current on-site cluster rarely has the correct capacity
  • 6. Major Benefits • East of use • Post- and pre-processing can be done remotely • Excellent opportunity to test the state of the art in cloud based HPC
  • 7. Main Conclusions and Recommendations • HPC in the cloud is technically feasible • Most remaining issues are implementation related and resource provider should be able to solve • Remote visualization solution was good and allowed user to perform some real work • Stress test with multiple users from same company remains unknown • Value of the HPC in the cloud solution is limited by absence of appropriate licensee models
  • 8. More Information • More information available via: https://www.theubercloud.com/experiments /team-56-simulating-radial-and-axial-fan- performance/