A Framework for Industrial Simulation and Data Analytics. Yann Debray Scilab Center of Excellence, ESI Group

Transcription

1 A Framework for Industrial Simulation and Data Analytics Yann Debray Scilab Center of Excellence, ESI Group Copyright ESI Copyright Group, ESI All Group, rights reserved All rights reserved. 1

2 ICT * Mega Trends enabling society to rely on computer models 1968 NASA & MSC First release of NASTRAN Exponential growth in the IT. Confirming Moore s law from From 10 to 50+ years * ICT Information Computer Technology 2

3 CONTENT Introduction of ESI Group The rise of Big Data with Industrial IoT Simulation & Data analytics based on Open-source Cloud Solutions to accelerate the adoption Current involvement on HPCN 3

4 Introduction of ESI Group 4

5 ESI Group Founded in 1973 on the promise of High Performance Computing We enable companies to build Virtual Prototypes of their products Corporate snapshot : 140M in FY16 Revenues 1,200 experts in CAE (Computer-Aided Engineering) in 40+ countries 5

6 ESI Group Business Segmentation and Representative Clients 5% 4% 3% 8% 11% 53% 14% 6

7 ESI Solutions and Foundation Technology Building on successful acquisitions to comprehensively address Virtual Prototyping Virtual Manufacturing Virtual Reality Casting Composites Sheet Metal Forming Welding & Assembly IC.IDO Immersive Experience Virtual Performance Virtual Environment Virtual Performance Solution Virtual Seat Solution Vibro-Acoustics Electronics, CFD & Multiphysics Open Source CFD Electromagnetics Systems and Data Analytics Virtual Systems & Controls Cloud/SaaS Simulation Big Data Analytics Decision Support 7

8 From Virtual Prototypes to Virtual Twins Value Creation AUTONOMOUS VIRTUAL PROTOTYPING VIRTUAL VIRTUAL REALITY Experience & Collaborate IoT VIRTUAL PROTOTYPING ANALYSIS TESTING SYSTEMS MODELING Activate & Animate Conduct design checks Benefits x1 Replace tests Benefits x10 Replace prototypes DATA ANALYTICS Learn & Build intelligence Benefits x100 Benefits +++ Communicate, Assist & Autonomize Manage Product Performance 8

9 The rise of Big Data with Industrial IoT 9

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11 Hybrid Virtual Twins for Industrial IoT What: Software solution for reliability, safety, operations and predictive maintenance of Industrial IoT systems How: Dynamic integration of virtual engineering (modeling and simulation) and Industrial IoT data analytics Targets Systems: Aircraft Engines, Aerospace Systems, Marine Vessels, Industrial Equipments, Wind Turbines, Auto powertrain Target Users: Operation and Maintenance teams System reliability and safety 11

12 Hybrid Virtual Twins for Industrial IoT (physics-based and data-driven models) Physics-based Virtual Twin Simulation Data Data-driven Virtual Twin Sensor Data Lake Instrumented Physical Asset Wrapping elements Update Auto-learning Math-based models System models Detailed 3D models Machine Learning & Reduced order models Apply Operational Predictive Models Act Mechanics Sensors Controllers Modeling & Simulation Software Industrial Data Analytics Software Decision 12

13 Simulation & Data analytics based on Open-source Some applications paving the way towards HPC 13

14 Model reduction of the flow around a vertical wind turbine Coupling of CFD Solver with Scilab (Desktop & Cloud): From CFD (2/3D) to mathematical model (0/1D) Computation time : from days to seconds Complete CFD simulation Simplified mathematical model (Proper Orthogonal Decomposition) 14 Scilab Enterprises Confidential 14

15 EDF: Environment impact modeling and simulation Scilab-based Modeling and Simulations of Environmental Performances of Power Plants Cooling Systems Thirty-year simulations with: Climate models Hydrology models Power Plant cooling system models 15

16 DoE, post-processing and visualization Development of a GUI to explore simulation results (Excel imported) GUI, graphics, advanced mathematics Modules used DACE (ATOMS): kriging NSGA2 : multi-objective optimization TOPSIS : multicriteria decision making (specific development) 16

17 Cloud solutions to accelerate the adoption 17

18 Cloud Applications Crash Simulation ESI Cloud VPS Computational Fluid Dynamics -- ESI Cloud OpenFOAM Data Analytics ESI Cloud Mineset Modeling & Simulation ESI Cloud Scilab 18

19 Cloud Applications Crash Simulation ESI Cloud VPS 19

20 ESI Cloud VPS - High Performance Computing Strong scaling for complex industrial cases Hybrid MPI +OpenMP scales better Robust numerical implementation 20

21 Cloud Applications Computational Fluid Dynamics -- ESI Cloud OpenFOAM 21

22 OpenFOAM -Estimate Tsunami load on buildings Courtesy of Shimizu Corporation Succeed in clarifying the mechanism of Tsunami damages in the Great East Japan Earthquake D Shallow Water Model Japan whole island 3D-VOF Model Multiscale simulation 22 22

23 ESI Mineset Visual Machine Learning Goal-driven Exploration Coupling visualization, machine learning and human judgment to Discover new insights Predict outcomes Prescribe actions with confidence Human-in-the-loop iterative analytics Visualization is UI to ML models Based on Spark framework Zero programming Designed for Cloud Based on ML developed at Stanford and SGI, 12 patents Simple by Design, Power on Demand 23

24 ESI Cloud Scilab Overview Scilab Scilab Cloud App (Web GUI or API) Simulation Web App (Web Interface & Algorithms) Simulation API (API & Algorithms) ESI Cloud Scilab Private Cloud / Public Cloud 24

25 SANOFI using Scilab in ESI Cloud Scilab.. to optimize energy costs through simulation Problem Inefficient control of HVAC (Heating, Ventilation & Air Conditioning) leads to energy waste HVAC = 60 % of energy bill (500k /year/site) Scilab Solution in Cloud Application for simulation of weather-based and scenario-based HVAC energy consumption and costs : Sanofi Opticlim Objectives Save 10M + /year in energy bills worldwide Energy efficiency at 120 industrial sites 25 Scilab Enterprises 25

26 Current involvement on HPCN The European project COLOC 26

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28 COLOC European project Optimise process placement and data locality Infrastructure topology HWLOC - INRIA 28

29 Scilab in COLOC scicuda and sciopencl Scilab toolboxes freely available for the community worldwide Give easy access to GPU computing from Scilab language Scilab MPI + scimumps Scilab toolbox Give easy access to MUMPS solvers with Scilab language for non-hpc-experts Explore opportunities with Scilab Cloud Hide the complexity of simulation applications and HPC to reach new types of users (engineers, domain experts,..) Give use of HPC to non specialists linking Scilab Cloud with NOVA. 29

30 Use Case HPC Dassault Aviation speeds up its computations for aircraft design by a factor of 6 with scigpgpu on a heterogeneous (CPU+GPU) node and by a factor of 10 with Scilab/MPI using 10 MPI processes spread over several CPU nodes

31 Flow Simulation Computation CPU-GPU Comparison 2D Lattice Boltzmann simulation (D2Q9 model computation) Intel CPU Xeon E v2 2.70GHz (left) AMD GPU FirePro S9150 (right) 31 31

32 Benchmark CPU/GPU Great acceleration for some operations With structural limitation due to data transfer bottleneck 32 32

33 Scilab/MPI Slave 1 -->help MPI Master 0 Slave 2 Slave n R/mpi_technical.html MPI_Init(); rnk = MPI_Comm_rank(); sizenodes = MPI_Comm_size(); // here n=1 SLV = rnk; Master = ~ SLV; assert_checkequal(mpi_comm_size(), 2); if Master for slaveid = 1:sizeNodes-1 value = slaveid*2 MPI_Isend(value, slaveid, 42); end else ranksource=0; tag=0; MPI_Irecv(rankSource, tag, 42); // MPI_Irecv does not return any value value=mpi_wait(42) // the value will be returned by MPI_Wait assert_checkequal(value,2*slv); end MPI_Finalize(); exit() 33 33

34 Demonstration SciMUMPS solving Ax=b for finite elements electromagnetic fields problems from University of Florida sparse matrix collection First case: 2 cubes sphere Finite-element time domain solvers for electromagnetic diffusion equations: 88,213 tetrahedral elements in the 3-D computational domain A: 101,492 x 101,492 sparse symmetric definitive positive matrix with 1,647,264 non-zero elements b: 101,492 full vector 34

35 Demonstration Second case: offshore Finite-element system matrix from transient electric field diffusion equation with tetrahedral elements in the 3-D computational domain A: 259,789 x 259,789 sparse symmetric definitive positive matrix with 4,242,673 non-zero elements b: 259,789 full vector 35

36 Demonstration Execution time results 36

37 THANK YOU! Contact: 37

38 Scilab Highlights Scilab is competitive with Matlab, but open-source and free With Xcos, Scilab offers a modular equivalent of Simulink for control systems design & simulation Scilab has a 1M+ user community worldwide ESI Cloud enables the secure cloud deployment of Scilab scientific and engineering applications 38 Scilab Enterprises Confidential 38