parallelize when processing data

haizhou0410 · February 5, 2021, 11:09

Hi everyone,
I am wondering how to parallelize in Tecplot when it is processing data for instance smoothing data or interpolating data. Since the grids number is large, it takes quite a long time to process and when I check the CPU utilization I found it is quite low. It seems it uses only one core to process the data. Could anyone tell me how to improve the speed such as parallelize? Thank you very much in advance.

wsfowler · February 11, 2021, 20:54

Linear Interpolation and Inverse Distance interpolations are both parallel operations - so you should be seeing good CPU utilization with those operations.

Kriging and Smoothing are not parallel, but some data that these operations need to fetch (like cell face neighbors) are parallel - so you'll see some concurrency.

If you have multiple data files you need to Smooth you could try using Python's multiprocessing module. We did a webinar on this subject here:
https://www.tecplot.com/2019/09/13/a...-times-faster/

If you need additional assistance I'd suggest you contact our support staff at support@tecplot.com (USA) or support-eu@tecplot.com (Europe).

Scott

February 5, 2021, 11:09	parallelize when processing data	#1
haizhou0410 New Member Jim Join Date: Aug 2019 Posts: 13 Rep Power: 7	Hi everyone, I am wondering how to parallelize in Tecplot when it is processing data for instance smoothing data or interpolating data. Since the grids number is large, it takes quite a long time to process and when I check the CPU utilization I found it is quite low. It seems it uses only one core to process the data. Could anyone tell me how to improve the speed such as parallelize? Thank you very much in advance.

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February 11, 2021, 20:54		#2
wsfowler Senior Member Scott Fowler Join Date: May 2009 Posts: 123 Rep Power: 17	Linear Interpolation and Inverse Distance interpolations are both parallel operations - so you should be seeing good CPU utilization with those operations. Kriging and Smoothing are not parallel, but some data that these operations need to fetch (like cell face neighbors) are parallel - so you'll see some concurrency. If you have multiple data files you need to Smooth you could try using Python's multiprocessing module. We did a webinar on this subject here: https://www.tecplot.com/2019/09/13/a...-times-faster/ If you need additional assistance I'd suggest you contact our support staff at support@tecplot.com (USA) or support-eu@tecplot.com (Europe). Scott