Sun Business Ready HPC for ANSYS FLUENT 
by William Aiken
September 2009
This Sun BluePrints™ article provides an overview of configuration requirements for running ANSYS FLUENT in a high-performance clustered environment on Sun systems. Sample performance data and detailed suggestions for designing and configuring a complete solution that addresses the most demanding ANSYS FLUENT workloads are presented.
More specifically, this document addresses the following topics:
- “Constructing a Compute Cluster for ANSYS FLUENT,” a description of ANSYS FLUENT and general sizing information regarding node count, memory, disk, and interconnect configurations that can help optimize performance.
- “Recommended Configuration,” includes information on a Sun Business Ready HPC Solution that satisfies the requirements of ANSYS FLUENT workloads.
- “For More Information,” offers pointers to additional informational resources.
- “Appendix A: ANSYS FLUENT Benchmark Models,” includes information on a range of ANSYS FLUENT benchmark models that can be helpful in evaluating the performance capabilities of a particular configuration.
- “Appendix B: The Lustre file system,” includes information on the characteristics and benefits of the Lustre™ file system.
Contents
- Introduction
- ANSYS FLUENT 12.0
- Sun Business Ready HPC for ANSYS
- Constructing a Compute Cluster for ANSYS FLUENT
- System Selection
- Cluster Size
- Interconnect Options
- Memory
- Choosing a Serial or Parallel File System
- Storage
- Scheduling software
- Recommended Configuration
- For More Information
- Related Resources
- About the Author
- Acknowledgments
- Ordering Sun Documents
- Accessing Sun Documentation Online
- Benchmark Models
- ANSYS FLUENT Large Model Benchmark Cases
- ANSYS FLUENT Medium and Small Model Benchmark Cases
- The Lustre File System
- Lustre File System Design
William Aiken is currently a staff engineer at Sun Microsystems. He has worked with physical and mathematical modeling ISVs for several years as a member of the ISVE (formerly Market Development Engineering) organization. Prior to William’s employment at Sun, he developed software for a number of large and small companies in the technical R&D sector.
The author gratefully acknowledges the extensive configuration testing and other technical contributions to this article provided by the following individuals:
- Larry McIntosh, Sun Systems Technical Marketing
- Michael Burke, Strategic Application Engineering Staff
- John Snyder, Sun Solutions Center Benchmarking Engineer
- Eduardo Pavon, Sun Solutions Center Benchmarking Engineer
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