STRATEGIC ICT SUMMIT FEBRUARY 3 – 4, 2009 Name: Dr Kenji Takeda Organisation: School of Engineering Sciences, University of Southampton Contact Information:

Real-time Computational Fluid Dynamics for Flight Simulation James Kenny, Dr Steven Johnston, Dr Kenji Takeda & Prof Simon Cox Microsoft Institute for High Performance Computing

Microsoft Institute for High Performance Computing Dr Kenji Takeda & Prof. Simon Cox “Our aim is to demonstrate why, where, and how we are exploiting current and future Microsoft tools and technologies to make the engineering design process faster, cheaper and better.” 3

High performance flight simulator Simulate helicopter landing on a ship using flight simulator –Pilot control –Visualisation Real-time, interactive HPC computation on cluster to drive flight physics –Unsteady CFD simulation Coupling simulator to HPC –SOA/WCF interoperability 4

Ship-aircraft interaction proof-of-concept Landing on a ship is hard Requirement to qualify each ship/aircraft combination Complex unsteady aerodynamics problem Two-way aerodynamic interaction between ship wake and rotor not currently computed in simulators Training & research applications

Ship hanger aerodynamics rotor wind Wind tunnel measurements Vorticity or swirl contours Velocity vectors Complex Dynamic

Coupling Simulator to CFD Couple human-in-the loop Simulator to CFD Use C# for flight model CFD inputs to flight model and affected by rotor aerodynamics Differing timescales Full two-way coupling for first time

Microsoft Confidential FSX ESP-HPC server architecture control input audio/visual 6 dof flight model Change Rotor state CFD Rotor forces SimConnect Simulator Flightmodel WHPCS2008

Demo architecture 9 C# Head node Compute nodes Two-way comms SimConnect WCF Broker Simulator Windows HPC Server 2008 Flight simulator Flight model

Key HPC architecture features Massively parallel Message Passing Interface (MPI) CFD code for flow simulation Velocity distributed cache Windows Communication Foundation broker C# flight model SimConnect WCF API ESP flight simulator visualisation and pilot input 10

Parallel CFD Code Solves Navier-Stokes equations for fluid flow – hard problem Message Passing Interface (MPI) for distributed computing –Using MPI.NET for demo Can runs on national supercomputers up to processors Quickly ported to Windows HPC 11

WCF Broker capability Allows two-way communication with a running job Designed for Monte- Carlo simulations Velocity distributed cache to gather data from MPI job Enables Service Oriented Architecture (SOA) scenarios 12 C# Head node Compute nodes Two-way comms WCF Broker Windows HPC Server 2008 Flight model Velocity WCF service

WCF broker performance 13

Flight model and simulator Flight model in C# –helicopter dynamics and CFD interaction effects –Full two way interaction WCF via SimConnect API –pass data between flight model and ESP simulation engine ESP for pilot input and visualisation 14 Ship airflow Rotor downwash

Windows HPC service 15

Let’s fly

Let’s fly

Helicopter Brownout Physics New project to study brownout from first principles Current saltation models based on parallel flow assumptions Using Southampton expertise from medical engineering and Aeolian transport First principles physics modelling –needs HPC and GPGPU

Real-time CFD for Flight Simulation Human-in-the-loop flight simulator –Flexible, high performance application framework Windows HPC Server 2008 parallel CFD simulation –High performance for high fidelity physics Windows HPC Server 2008 WCF SOA demonstration –Real-time interactivity using WCF Opens up new avenues for first-principles physics modelling with human-in-the-loop simulators 19 Contact: Dr Kenji Takeda Microsoft Institute for High Performance Computing, School of Engineering Sciences, University of Southampton, UK