MIKE by DHI 2014 e sviluppi futuri

Transcription

1 MIKE by DHI 2014 e sviluppi futuri Johan Hartnack Torino, 9-10 Ottobre 2013

2 Technology drivers/trends Smart devices Cloud computing Services vs. Products

3 Technology drivers/trends Multiprocessor hardware OS Stored data

4 Overview Performance - Parallelization Remote execution - Utilizing common hardware (cloud) Data - Gaining access to relevant data MIKE HYDRO - Next generation water ressources products User involvement - How to influence the process DHI

5 MIKE by DHI 2014 e sviluppi futuri Multiprocessors - Performance DHI

6 Performance ~ Parallelization Shared memory Distributed memory Graphical processing unit DHI

7 Parallelization Shared memory (OPENMP): The calculations are carried out on multiple processors on the same pc all accessing the same memory.

8 Parallelization MIKE 21 Single domain, hydrodynamic calc. Speedup 2 cores: 15-30% 4 cores : 40-80% Excl. Side-feeding Incl. Side-feeding

9 Parallelization Distributed memory The calculations are carried out on multiple processors each with its own memory space and required information is passed between the processors at regular intervals

10 Basic concept Message passing interface (MPI) standard interface used for communication between processors The distribution of work is based on the domain decomposition concept (physical sub-domains) Each processor integrates basic equation in sub-domain Data exchange between sub-domains is based on halo layer/elements concept I/O is handled on local level

11 Basic concept

12 High Performance Computing Distributed memory Optimisation and benchmarking Example of the results of test of parallelisation on a 864 core Linux cluster

13 HPC - an investment High performance computing (HPC) has been one of the fastest growing ITmarkets within the last five years Date Linux Unix Mixed MS Windows BSD based June % 3.2% 0.8% 0.6% 0.2%. DHI

14 Utilizing the GPU for numerics Fairly cheap to purchase Get a speed up factor at a cheap rate NVIDIA based cards DHI

15 Parallelization - GPU GPU

16 Parallelization - GPU GPU(Graphical Processing Unit): The main calculations are carried out on the GPU processors. Data are transferred as needed MIKE 21 FM based Only HD part

17 Parallelization - GPU Benchmark Mediterranean sea Not possible to scale the degree of parallelization Scale using the resolution of the mesh DHI

18 Benchmark preliminary results double precision DHI

19 Benchmark preliminary results single precision DHI

20 Preliminary indications Performance dependent on GPU hardware Good scalability DHI

21 MIKE by DHI 2014 e sviluppi futuri Remote simulation service(cloud) DHI

22 Remote Simulation 42 A 42 B DHI 30 October, 2013 #22

23 Remote Simulation How it works: When your model simulation is ready to run, simply activate the new simulation console, select the executing computer and launch the simulation Your simulation is then executed on this remote computer and the result files are easily transferred to your PC when the simulation has ended It is possible to run as many simulations in parallel using your remote computer resources as your licence allows This also means that you can use remote simulation with AUTOCAL for automatic model calibration / optimization DHI 2012

24 Remote Simulation How to get started: Remote Simulation Console DHI 2012

25 Remote Simulation Availability : Available for MIKE Zero and MIKE URBAN based products from release 2014 Available for Corporate and Subscription type licenses Your simulation resources are limited by your hardware and by your MIKE by DHI licence (the number of cores and the number of simultaneous runs ) DHI 2012

26 MIKE by DHI 2014 e sviluppi futuri DHI WaterData Data service DHI

27 A new service from DHI Making knowledge about water environments accessible Water knowledge Software and tools Tailored solutions and DSS Knowledge sharing Data fit for use Consultancy MIKE by DHI MIKE CUSTOMISED by DHI THE ACADEMY by DHI DHI Free MIKE SMA Subscribe Buy Publically available data, licence restrictions Entry level product Global coverage Processed and ready to use Handling fees but semi automated Medium processing Derived products High value products Additional value and services

28 DHI

29 DHI

30 MIKE by DHI 2014 e sviluppi futuri MIKE HYDRO next generation water resources modelling DHI

31 MIKE HYDRO MIKE HYDRO introduced in Release The vision: Common platform for (most) Water Resources products Overall features: Map centric, easy-to-use Graphical User Interface Usability and work-flow oriented design No third party GIS components required MIKE Zero component One setup-editor DHI #31

32 MIKE HYDRO River The Graphical User Interface River model tree view items River model toolbar icons Cross sections plot Graphical River Network editor Structures plot DHI #32

33 MIKE HYDRO Release 2014 includes: MIKE HYDRO River, Phase I River modelling with MIKE HYDRO First release of classic MIKE 11 GUI successor Includes a subset of classic MIKE 11 GUI features DHI #33

34 MIKE HYDRO Basin Water Quality using ECO Lab ECO Lab: Numerical lab for Ecological modelling Open and Generic ECO Lab tool in for MIKE customized HYDRO: water quality models Utilizes ECO - Lab eliminates Templates hard-coded with mathematical WQ formulas descriptions of ecosystems Templates are - increased open and editable flexibility - enhanced usability MIKE HYDRO Basin; WQ editor DHI #34

35 MIKE by DHI 2014 e sviluppi futuri MIKE User council How to influence the MIKE by DHI path DHI

36 MIKE User Council The primary mission of the MIKE by DHI User Council (in short: MIKE UC) is to provide input to DHI in improving the MIKE products so that they cover the most important modelling needs as seen from the perspective of the members of the MIKE UC. The vision of the MIKE UC is to be able to see tangible improvements in each new release of the MIKE products based on their input. DHI 2012

37 User ideas now part of release Tool for describing dikes in MIKE 21 s topography DHI 2012

38 User ideas now part of release Water balance tool for MIKE FLOOD DHI 2012

39 User ideas now part of release MIKE URBAN Gridded Rainfall DHI 2012

40 Summary Multiprocessors - Variety of options (MIKE 21 FM GPU) Cloud computing - Remote execution and SaaS Service - DHI WaterData Next gen. MIKE - MIKE HYDRO User involvement - MIKE User council DHI 2012

41 Thank you Johan Hartnack Torino, 9-10 Ottobre 2013 DHI