Let’s face it, analyzing large amounts of transient data 
can take forever. Animating images to a movie can take an 
entire weekend to complete. Why can’t Tecplot just do it 
for me, and do it faster? 

This Webinar will show you how the power of Python can 
take advantage of multi-process parallelism.  Using 
Tecplot 360’s Python API, PyTecplot, you can get your 
results up to six times faster.

Webinar Agenda:

1. The Problem - Post-processing time-dependent data can 
take a long time and consume large amounts of RAM.

2. The Solution - Reduce memory usage and take advantage 
of multi-processing – both will drastically speed up 
transient post-processing.

3. The Results - Get your results up to six times faster! 

4. Caveats - Of course there are caveats! We will explain 
each of these: hardware constraints, licensing, dataset 
compatibility.

5. Future Work - We plan to test this on a distributed 
HPC system.

6. Q&A