This is the fifth instalment in a series of blogs I’ve written summarising run times for 2D simulations conducted on PC hardware and NVIDIA GPU cards. The first was in December 2012, I then followed up with a second in September 2016, a third in June 2017 and a fourth in November 2017. Each blog shows how InfoWorks ICM has been designed to leverage technological improvements as soon as new hardware platforms and new GPU cards come onto the market and how rapidly GPU technology changes.
The tables below give simulation runtimes for two of our standard 2D testing models that were run on two high-end Intel Xeon Servers, one fitted with an NVidia Quadro GP100 GPU card and the other fitted with an NVidia TESLA P100 GPU card.
As with the previous runtime tests, the models contain 1.6 million and 3.3 million 2D elements and are 2D only datasets (i.e. no pipes or manholes). Each model is run for a 2hr simulation using a M5-60 design storm. Rainfall is applied directly to 100% of the mesh, so all elements in the 2D zone are wet throughout the simulation (this is important, because it’s the number of wet elements that most influences the runtime, not the overall number of 2D elements in the model).
My thanks go to John Baxter of AC&E Ltd in the UK and Jean-Charles Horlait of Service public de Wallonie in Belgium who kindly supplied the physical hardware used to conduct the test runs with our standard Innovyze GPU Testing Database, the results of which are shown in the tables above. If you would like more details of the physical hardware employed to conduct these tests, you can contact either John Baxter or Jean-Charles Horlait using the contact details shown below.
Manager, IT Services
AC&E Ltd, Vanguard House
Cheshire, WA4 4AB
Tel: +44 (0)1925 606404
|Ir Jean-Charles Horlait