Embedded Files
OIT RC maintains a number of computational systems for academic research use. These systems are typically used for long-running, computationally intensive, and data-intensive processes, as well as processes with specialized requirements, such as a parallel computational environments supporting standard MPI libraries, GP-GPU computing, or very large memory requirements. These servers have access to a large array of research-related software for non-parallel and parallel scientific computing tasks.
Linux Compute Intensive Systems Specifications:
Linux Compute Intensive Systems Specifications:
Circe, Hecate, Agamede (.rc.pdx.edu)
Circe, Hecate, Agamede (.rc.pdx.edu)
Dell PowerEdge R740
2 x Intel(R) Xeon(R) Gold 6244 CPU @ 3.60GHz
512 GB RAM
2 x 25Gbe network
Tuning Your Software
Tuning Your Software
The optimal number of threads to use is entirely dependent on the program being run and may take a bit of trial and error. More threads does not usually result in faster runs and can actually be detrimental. Start small and increase the concurrency of your program. Benchmarking will help you discover the optimal settings for your program.
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