But realize that performance is not always linear with the number of cores. With FieldView you could run in client-server mode.Īdvice: Buy the fastest CPU, with the most cores, that you can afford. With Tecplot 360 the SZPLT file format coupled with the SZL Server could help here. We found that the SSD was 61% faster than the HDD when using all 32 CPU-cores for this post-processing task.Īll this said – if your data are on a remote server (network drive, cloud storage, HPC, etc…), you’ll want to ensure you have a fast disk on the remote resource and a fast network connection. Some file formats are also more efficient than others – particularly file formats that summarize the contents of the file in a single header portion at the top or bottom of the file – Tecplot’s SZPLT is a good example of a highly efficient file format. Some plots require more data to be loaded off disk than others. In order to generate any plot in Tecplot 360, you need to load data from a disk. Intel Xeon E5-2650 v2 2.60GHzĪdvice: Buy the fastest disk you can afford. Limiting the number of CPU cores was done using Tecplot 360’s ––max-available-processors command line option.ĭata was cleared from the disk cache between runs using RamMap. The test was performed using 1, 2, 4, 8, 16, and 32 CPU-cores, with the data on a local HDD (spinning hard drive) and local SSD (solid state disk). Display an iso-surface of Q-Criterion (the resulting iso-surface consists of 32,248,635 triangular elements).The data consists of 5,863 zones, totaling 263,075,016 elements and the file size is 20.9GB. Our test data is an OVERFLOW simulation of a wind turbine.
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