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HPC as a Service: Paving the Way with Heavy Duty Abaqus Analysis
- 1. Paving the way to HPC as a Service Heavy Duty Abaqus Structural Analysis Using HPC in the Cloud – Challenges, Solutions, Lessons Learned, & Recommendations Frank Ding May 16, 2013
- 2. What is the UberCloud HPC Experiment? Started in mid-2012 as a voluntary effort Demonstrate the potential of HPC in the Cloud Uncover and overcome the obstacles Now with over 450 participants Round 3 is in progress Approaching 80 teams as of today Please submit your project ideas at the end of this webinar! 2
- 3. About the presenter Frank Ding, Engineering Analysis & Computing Manager, Simpson Strong-Tie, HPC Experiment Advocate,An early adopter of HPC for simulation-driven design, a huge fan of Linux-based cluster computing Thanks to members of the HPC ExperimentTeam #47 Matt Dunbar, SIMULIA 3DS Steve Hebert & Rob Sherrard, Nimbix Sharan Kalwani, DataSwing Antonio Arena & Cynthia Underwood, NICE Software Dennis Nagy, BeyondCAE 3
- 4. Simpson Strong-Tie A leader in structural systems research, testing and innovation Product Lines Connectors for light frame construction Fasteners and fastening systems Lateral systems Anchoring systems Fiber reinforcing materials 4
- 5. Realistic Simulation Requires HPC High-fidelity modeling Highly nonlinear materials Multi-physics Fracture and cracking Progressive damage and failure 5
- 6. Why HPC in the Cloud? Current HPC Cluster – 4-node 32 cores total Nehalem-based Xeon InfiniBand DDR HPC in the Cloud Lack of in-house HPC resources Capacity surge – large jobs speedup Capacity overflow jobs – large number of jobs Project tested in Round 2 HPC Experiment Concrete anchor bolt tension capacity 1.9 millions of DOF’s 11.5 hours runtime (32-core) 6
- 7. Cloud-Based HPCWorkflow ProjectWorkflow Pre-processing on the local workstation at the user end Abaqus input file loaded to the data staging point thru SFTP Abaqus job submitted to the compute cloud thru Nimbix web portal Job monitoring thru Nimbix dashboard plus email notification of job status Post-processing using remote visualization tool NICE DCV 7
- 8. Barriers and Challenges Data movement limited by internet bandwidth Use remote visualization for post-processing End user side internet bandwidth issue Team member time schedule (voluntary effort) Team member expertise gap Meet the project deadline 8
- 9. Benefits HPC in the Cloud solutions require multi-vendor support ISV – 3DS SIMULIA provided Abaqus license Cloud infrastructure and service provider – Nimbix HPC Cloud for CAE Remote visualization – NICE Desktop CloudVisualization(DCV) End-user applications HPC Experiment provides a collaboration platform Form a team based on end-user application requirement Basecamp.com to support team communication Third-party solution providers invited to the team if needed 9
- 10. Lessons Learned & Recommendations End point internet bandwidth variability is the top barrier Some workflow details have been identified to improve end user experience Service provider is recommended to provide connection bandwidth testing tool to the end users Remote visualization using NICE DCV is a good platform if a stable/consistent internet bandwidth is available. Results accessible anywhere when needed. HPC Experiment is a great platform to test your project on the Cloud HPC 10
- 11. Ready for your project! Round 3 is in progress and will conclude at the end of June Anyone can create a project And it is not too late for Round 3 (and beyond) Please fill out the form at the end of this webinar 11
- 12. Q&A session notes What bandwidth is needed in your opinion? FD: Roughly a consistent bandwidth over 5Mbps is required for a smooth response for dynamic 3D model manipulation. What is the largest memory node/core on the cloud forAbaquspurposes? FD: I use 4GB/core for my local HPC, but I don’t know Nimbix Compute Cloud’s configuration, but I would recommend the same.
- 13. Q&A session notes Do you use .pbs to submit in batch? FD: No, I use Nimbix Compute Cloud job submission web portal, which talks to theTorque load manager. What sort of interconnect types did you use / try? FD:We used GigE in the Round 1 and InfiniBand in Round 2. InfiniBand performs better. Can you talk about the Memory required for your project? FD:The job was solved by Abaqus/Explicit, which does not have intensive memory requirement like Abaqus/Standard does. Usually I go with 4GB/core.
- 14. Q&A session notes You mentioned that Internet speed (or lack of) was a major factor.What was the maximum internet speed available to you for the project? FD:The maximum I ever tested was 10 Mbps on a 20 Mbps pipe. Is the NICE visualization using a secure channel (encryption)? FD:Yes, encryption using the standard AES algorithm (128 or 256-bit)