![]() This will be an active area of research for us in the next few months. The GUI (graphical user interface) library we use, QT, recently came out with native M1 support. We are looking into native support for Mac M1. We haven’t done any performance testing to see if there’s a degraded performance running in that mode, so your mileage may vary there. ![]() Tecplot 360 will run on Macs with the M1 chip, but it’s going to run in compatibility mode. Is this release (Tecplot 360 2021 R2) supported on the Mac M1 chips or Mac OS M1 version? There is no load balancing so you have to be careful with the resources available on your machine. Here’s a webinar to show you how, Analyze Your Time-Dependent Data 6 Times Faster. You can use PyTecplot and the Python multiprocessing library to launch multiple instances of Tecplot 360 simultaneously to improve the speed of post processing. In Tecplot 360, when you’re working with isosurfaces, slices, or streamtraces, those are fully parallelized and will use all your CPU cores. But you have to be careful because you may run into resource contention if you have multiple instances running at the same time on the same machine. You can also do it on a single machine using multiple instances of Tecplot 360. So, you can get parallel processing done on an HPC. On an HPC, you could submit a batch job where each node on your HPC would load one time step of your data and generate an image. If you have transient data with one file per time step, you can distribute that work among multiple machines. We don’t do distributed memory parallel processing. That means when you are post-processing, all the CPU cores available on a single machine will be used. Tecplot 360 is a shared memory application that uses OpenGL for rendering, which will use your graphics card. Q&A from the Webinar Is it possible to use multiple CPUs or GPUs to speed up post processing? ![]() 22:17 – User Interface (GUI) creature comfortsįor all changes in Tecplot 360, see the release notes. ![]() 14:30 – Transient data zone visibility is now configurable.07:05 – Expanded support for transient data.04:50 – Improved performance and resource management.03:36 – Overview of what’s new in Tecplot 360 2021 R2. ![]()
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