XP Solutions has a long history of Providing original, high-performing software solutions Leading the industry in customer service and support

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2 XP Solutions has a long history of Providing original, high-performing software solutions Leading the industry in customer service and support Educating our customers to be more successful in their work.

3 Presenter Anthony Kuch, MSc VP SWMM Products Innovyze Matt Anderson, P.E., CFM Product Manager Innovyze

4 Question 1 What is tool is you primary Floodplain Modeling software package? XPSWMM / XPSTORM Bundle InfoWorks ICM HEC-RAS (2-D) Other Commercial 2-D Solutions (RiverFlow 2D, Flo2D) Other Commercial 1-D / Quasi 1D Solutions (HEC-RAS 1D, PCSWMM, River & Flood)

5 Question 2 How long do you take for your model solution? Under 30 minutes? minutes? 1-6 hours? 6-12 hours? More?

6 Question 3 What is single most difficult problem you have with flood modeling? Building the Model (Data Source / Pre-Processing) Simulation Monitoring / Awaiting Results Simulation Troubleshooting / Validation Review Simulation Results Costs (Software / Hardware Costs)

7 Agenda With the plethora of modeling packages available to calculate flooding depths, the time it takes to arrive at the final answer can be daunting. Simple models done with free tools for 2D analysis surface can take hours, and you miss the ability that any underground infrastructure has to remove surface flooding. In this webinar, we ll examine the new methods to interact with the terrain, and perform analysis across the CPUs or leverage the GPU to cut the time in half for 1D-2D models. You will: Learn how advances in technology can shave time off the simulations Interact with Surfaces, Pipe Networks from popular CAD Design tools Get a boost in productivity

8 A Preview of what s coming? xp2d Extreme

9 Focus on Productivity Model Build Productivity 10x more data for LandXML Interchange on surface points 2 Million points 200x + times faster load of LandXML PostgreSQL connection support 14 different enhancements to Exporting/Importing Breaklines, Fill Area with attribute data MultiLink Enhancements Profile, Multiple Link conversion, Ensemble Statistics Better Interop - AutoCAD 2018 drawings, SWMM5 Import/Export, XPTables Remove Use Project Units always on Simulation Productivity xp2d Job Control Changes xp2d becomes the Classic Option NEW xp2d Extreme option powered by Tuflow HPC

10 What is xp2d Extreme? A High-Level Summary Innovyze Branding of TUFLOW HPC, the 2 nd generation 2-D solver Alternative 2D solver to Classic using multiple cores Improved 1 st and New 2 nd order GPU solution GPU (the default) Change in GPU cell schematisation to utilize cell sides Most of XP2D Classic s functionality (aiming to eventually include all, or nearly all) All 1D/2D linking functionality (HX and SX) Runs on NVIDIA GPU devices and CPUs

11 Toward Explicit rather than implicit solutions Today xp2d Classic is an implicit solution Fast, accurate ideally solved for single threaded hardware Tuflow HPC Spent two years focused on high-quality 2D Shallow Water Equation solve built with parallelization in mind Hardware includes most what you already have

12 What is GPU? Graphics Processing Unit Accelerated hardware development since 2000 Parallel computing is used to achieve computation gains XP2D is NVIDIA GPU compatible (not AMD) We support multiple GPU cards simulation speed up compared to CPU Traditionally used for graphics visualisation Now used for scientific compute too

13 xp2d Extreme Solution Scheme Explicit, Finite Volume shock capturing solution Better suited to parallelisation than implicit schemes (Classic) 4 th order in time, Runge-Kutta integration solution 2 nd Order in space the default Same spatial order and cell design as Classic Adaptive timestep design Courant number Wave celerity number Diffusion number Unconditional stability Exceptionally stable >> user beware

14 Classic vs Extreme Beware of the stability! Classic (CPU) Can go unstable (as we all know!) due to matrix solution not converging Instabilities highlight bad data / poor model setup and force the modeller to fix models Extreme (GPU) VERY VERY stable and has zero mass error May hide poor data or poor model setup (poor boundary condition or topography errors) Use dt output with check files to review location of minimum limiting timestep

15 What Matters? Resolution for 1D/2D Urban Assessments What 2D model resolution How fine for urban situations? 20m 10m 5m 2m 1m 0.5m 7,500 cells 31,000 cells 125,000 cells 750,000 cells 3,100,000 cells 12,500,000 cells 0.5m 20m 10m 1m 2m

16 What Matters? Resolution for 1D/2D Urban Assessments What 2D model resolution How fine for urban situations? 20m 10m 5m 2m 1m 0.5m 7,500 cells 31,000 cells 125,000 cells 750,000 cells 3,100,000 cells 12,500,000 cells 0.5m

17 What Matters? Resolution for 1D/2D Urban Assessments Solver/Hardware Comparison Simulation speed 20m 10m 5m 2m 1m 0.5m CPU 0:12 hr 0:15 hr 1:32 hr 15:19 hr 146:0 hr 48 days GPU 0:03 hr 0:03 hr 0:05 hr 0:20 hr 1:55 hr hr CPU = X GPU = 2 x GeForce GTX 980

18 Resolution of old GPU Issues TUFLOW GPU issues resolved with new HPC scheme No checkerboarding No excessive energy loss (using 2nd Order solution) Little or no numerical noise in results 1D/2D Models now possible with GPU!

19 Adaptive Time stepping Control Numbers Courant number (N u < 1.0) Shallow wave celerity number (N c < 1.0) Diffusion number (N d < 0.3) Explicit solution: all three at or below limits for convergence Δt adjusted every timestep to meet above conditions Δt estimated from previous timestep results Therefore, Δt can be too large So, have built in a repeat timestep feature (next slide) N u = max N c = max N d = max u t x, v t y gh t x, gh t y ν T t x 2, ν T t y 2 0.3

20 XP2D Extreme Stability Timestepping Adaptive (default) very stable Can run fixed timestep if control number limits exceeded, solution likely to go unstable N u, N c, N d limits may be factored down by user (e.g. Control Number Factor == 0.8) Repeat Step Feature Model state at start of each step is retained Model state at end of step is evaluated If NaNs encountered, or control numbers limits exceeded by more than 20%, step is rejected, timestep is reduced, and step is repeated Model fails at 10 consecutive failed repeat step attempts - exceptionally rare! Repeated step messages reported in.hpc.tlf file (and on console window) Occurs where model state is rapidly changing at a particular location only be concerned if time step becomes very small

21 Classic vs Extreme Stability (Possibly the most important slide of the day!) Classic Can go unstable (as we all know when using too large timestep) Due to divergence of solution (i.e. matrix solution not converging) Nearly always due to: too large a timestep; poor data; or poor model schematisation An instability often highlights bad data or model setup forces the modeller to make good models Extreme Adaptive time stepping (timestep adjusted every step to comply with Control numbers) Repeat time stepping (simulation wound back if unstable, and timestep halved) Therefore, VERY stable (an instability is very rare!), and zero mass error But: May hide poor data or poor model set up Tracked maximums may pick up a slight bounce (that s not deemed to be an instability) Therefore: Be very careful overclocking (i.e.. laxing Control number tests from default settings) Be thorough in reviewing results

22 PERFORMANCE COMPARISON BENCHMARKED COMPLEX 2D ONLY 49,265 cells, 25 foot Grid HEC-RAS (4 cores) 13 hrs 41 min 28 sec Dell 7510 Precision Laptop (i7), 2.9 GHz HEC-RAS (4 cores) 8 hrs 11 min 27 sec xpswmm Nvidia GTX 1080i 28 Minutes! xpswmm 6 hrs 35 min 38 sec (1 core) 1 hour 42 min 28 sec GPU xp2d Extreme 2 hrs 45 min 11 sec (4 cores) 1 hour 1 min 17 sec GPU

23 The Benchmarked Models

24 The Computers My New Laptop: Dell Precision 7520 Xeon CPU 3.10GHz NVIDIA Quadro 2200M My Old Laptop: Dell Precision GHz NVIDIA Quadro 1100M My Son Kyle s Gaming Computer: QualIT 4.2GHz NVIDIA GeForce GTX 1080Ti

25 Classic vs Extreme CPU These model runs used the new scheme and various multiple cores Model Name Computer Classic Extreme CPU Cores Speed up Small Rain Grid Old Laptop Small Rain Grid Old Laptop Small Rain Grid Old Laptop Medium Rain Grid Xeon Medium Rain Grid Xeon Medium Rain Grid Xeon Joliet Demo Xeon FMA Challenge Xeon , to 6 Cores needed for Extreme CPU to equal Classic Run Time

26 Classic vs Extreme GPU Comparing the GPU to classic speedup on same computer Model Name Computer Classic Extreme GPU Speed up FMA Challenge Old Laptop 6:01:05 1:11: San Lorenzo Creek Xeon Small Rain Grid Old Laptop Medium Rain Grid Xeon Medium Rain Grid Gaming Joliet Demo Xeon FMA Challenge Xeon 7:17:05 0:30: Speedup dependent on model complexity and GPU quality

27 GPU vs GPU Time in hh:mm:ss or seconds to compute Model Name Xeon Old Laptop Gaming FMA Challenge 0:30:30 (2.3x) 1:11:30 San Lorenzo Creek (5.5x) Small Rain Grid Medium Rain Grid (4.3x) Joliet Demo Better GPU means much faster run time

28 Conclusion Integrated 1D/2D Hydrologic and Hydraulic models can now be solved with XPSWMM much faster using the new highly parallelized solution scheme. Multiple cores and GPU cards are now utilized which permits user to assess risk by simulating multiple storm patterns or storm directions. Faster run times makes Live modelling much more practical while retaining model detail. Keep your laptop plugged in it solves faster! and don t let it go to sleep!

29 QUESTIONS

30 Thanks for joining us Matt Anderson, P.E., CFM Product Manager TELEPHONE: Anthony Kuch, MSc. VP SWMM Products TELEPHONE: