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Analyze Your Time-Dependent Data 6 Times Faster
Posted Thu March 07, 2019 @05:20PM
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Announcements Tecplot will host How to Analyze Your Time-Dependent Data 6 Times Faster on Wednesday April 3rd.

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

Sponsor CFD Review

Letís face it, analyzing large amounts of transient data can take forever. Animating images to a movie can take an entire weekend to complete. Why canít Tecplot just do it for me, and do it faster?

Webinar Agenda:

  1. The Problem - Post-processing time-dependent data can take a long time and consume large amounts of RAM.
  2. Solution - Reduce memory usage and take advantage of multi-processing Ė 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

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Pointwise Adds Native Interface to Conceptual Design Software ESP | How CFD Meshing Time Can Be Reduced by 90 Percent  >


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