Hardware Recommendations FAQ
How to Choose Hardware for your Simulation
- The number of cores are generally decided based on the model size, model fidelity and expense.
- Model size: Cells, grid points, nodes, elements, degrees of freedom
- Model fidelity: Time accurate, Single vs Double precision and Solver
- Cost focus: Minimize dollar cost per solution
- Cost-performance focus: Good balance between time to solution and computing cost
- For example, CFD generally start with 75K – 100K cells per coreA core processor, also known as a central processing unit (C...
- A good rule of thumb is to initially utilize a smaller number of cores to test your model before running the full intended core count
Usage | Core Types | Processor | Clock Speed | Memory/node | Storage/node |
General Purpose | Emerald Ferrite Luna Amber | Intel Xeon Platinum P-8124 Intel Xeon Platinum 8168 Intel Xeon SP 2nd Gen AMD EPYC 7551 | 3.0 GHz 2.7 GHz 3.6 GHz 2.0 GHz | 144 GB 64 GB 192GB 240 GB | 1.3 TB 256 GB 1.73 TB 700 GB |
High Memory | Zinc Carbon Melanite Ruby | Intel Xeon E5-2686 v4 Intel Xeon Platinum 8168 Intel Xeon Platinum 8175 Intel Xeon Platinum 8175M | 2.3 GHz 2.7 GHz 2.5 GHz 2.5 GHz | 488 GB 352 GB 384 GB 768 GB | 1.3 TB 700 GB 3.84 TB 3.6 TB |
This information can be found on the Hardware Settings section for a job.
For instance, Emerald has 36 cores per nodeIn the context of computer science, a node refers to a basic... with 144.0 GB memory and 1.30 TB storage per node. Melanite, which is a High Memory Core Type, has 48 cores per node. In addition, Melanite has more memory, storage and cores per node compared to Emerald.
These details will help you determine the right core type for your simulation.
For CFD/FEA based simulations
- Emerald
- Amber
For FEA codes with higher memory requirements
- Melanite
- Zinc
- Topaz (for higher memory requirements)
Other FAQs