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Talk GI Workshop VR/AR

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Interactive Particle Tracing with Cumulative Blood Damage Computation for Ventricular Assist Devices Dennis Kempin, Peter Schumacher, Gernot Ziegler, Tobias Rick
Abstract
DeBakeyVentricular Assist Device
Hydraulik Hematologie
Motivation?
Arora et al A Tensor-Based Measure for Estimating Blood Damage Hentschel et al Interactive blood damage analysis for ventricular assist devices
Goal: Fully interactive particle seeding
Technology
Implementation
Traditional SV
GPU based SV
Hemolysis Velocity Gradient Tensor Eigenvectors Hemolysis
Reduce Complexity Cartesian Grid LowerlevelIntegration Frameskipping Single-precisionfloat SpecializedEigensolver
Results
My Home Computer: G96b = $50
65.000particles In realtime
NumericInstabilities!
(million)Integrationsper second
GPU Peak Performance Gflops 67 9500GT
GPU Peak Performance Gflops 67 1700 9500GT GTX 295
Improve Accuracy Tetraedal Grid Higherlevel Integration Memory Streaming Double-precisionfloat More accurateeigensolver
Thank you for your attention! Any Questions?

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Talk GI Workshop VR/AR

Editor's Notes

  1. Bedanken und BegrüßungHiwiProjektvorstellenKurzenprägnantenNamen
  2. Worumgehtes?Particle Tracing - keinFremdwortVisualisieren von Strömungsfeldern
  3. Anwendung: Projektvom VRDeBakeyVentricular Assist Device.Turbine = Blutpumpe
  4. AnsHerzanfügenHerzunterstützenWartezeitüberbrücken
  5. ZweiDesignaspekteHydraulisch: GeschwindigkeitHematologisch: Blutistnichtirgendeineflüssigkeit Rote BlutzellensindempfindlichKrafteinwirkung = Schädigung = Hämolyse = Vergiftung/HerzversagenWill man vermeiden -> OptimierenmitModellen
  6. Warumarbeitenwir an diesemProjekt?InteressanteAnwendung-> HiwiProjektTechnische Motivation
  7. Hydraulik -> einfachProblematisch: HämatologischenEigenschaftenWegen: komplexeBerechnungen
  8. ZweiVeröffentlichungenArora et al: BlutschädigungsmodellHeentschelet al: VAD SoftwareNachteil: Offline Vorberechnungen-> KeininteraktivesEinfügen von Partikeln.
  9. Ziel:Interaktiveseinfügen von PartikelnNichtnur auf HPC Hardware, sondernauchskalierbar auf Desktop PCs. Problem: EchtzeitberechnungBlutschädigung-> KeineklassischeVisualisierung
  10. AndererAnsatz: Statt CPU
  11. NVidia CUDA. GPUs in C programmierenGPUs eignensichfür das Problem hervoragend
  12. Nichtnur Desktop PCsAuch: VR HardwareVistaTransparenteBehandlungEin/Ausgabe
  13. PaarWortezur Art derImplementierung
  14. AblaufeinerklassischeVisualisierung: Links Host, Rechts DeviceKritischerBereich: RenderschleifeZweiProbleme:- Data processing: ZeitintensivmitBlutschädigung- Data transfer derPartikeldaten
  15. GPU basierteVisualisierungProblemegelöst:Datentransferverschoben, bleiben auf GPUData processing ausgelagertGPU kann 100te Partikel parallel verarbeiten
  16. KurzerÜberblickPosition: GeschwindigkeitsfeldschrittweiseintegrierenHämolyse: Braucht TensorWirdebenfallsschrittweiseaktualisiertBenötigtvieleMatrixopperationen und die Eigenvektoren-> Nichtschwierig, aberteuerwennechtzeitAus Tensor ->Hämolyse
  17. Damitechtzeittauglich: KomplexitätreduziertKartesischesGitterEuler IntegrationÜberspringen von FramesSingle-precision floatsSpecialized Eigensolver
  18. Waskonntenwirmit den Ansätzenerreichen?Benchmark auf Low End Computer
  19. ZuHausesteht so einer.Grafikkartemit G96b Chip: $50.
  20. 65.000 Partikel in Echtzeitbei 30 fps darstellbar. InklBlutschädigungsmodell.Doch: Ziemlichgravierendes Problem!
  21. ErgebnissenahezuunbrauchbarZuUngenauKeinWunder: ZuvielGenauigkeitgegen Performance eingetauschtDoch: Optimistisch was erhöhenderGenauigkeitangeht. Warum:
  22. Integrationen pro SekundebeiverschiedenenPartikelanzahlen. Orange ohneBlutschädigung – sehr simple BerechnungRot mitkomplexemBlutschädigungsmodellKaumGeschwindigkeiteingebüßt -> Skaliertsehr gut.
  23. GetesteteGrafikkarte: 67 GFlops
  24. AktuelleGrafikkarte:GTX 2952 KerneZusammen: 1700 GFlops. Also:MassigRaumfürVerbesserungderGenauigkeit
  25. Aufgabenfür die Zukunft:TetraederGitterIntegrationsmethodenhöherer levelSpeicher StreamingbeizukleinemSpeicherNeueKarten: Double precision FließkommazahlenGenauerereEgensolverAlgorithmen
  26. Damit bin ich am Ende.Vielen Dank fürIhreAufmerksamkeit