Inhalt

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  Introduction
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   Problem Description
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   Areas of Interest
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   Goals and Contributions
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   Thesis Structure
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  Foundations
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  Clusters Now and Then
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   The Rise of Clusters
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   Hybrid Cluster Systems
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   The Arminius Hybrid Cluster at PC2
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   Software for Clusters
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   Application - Simulation
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   Systems, Models and Simulation
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   Distributed Simulations on Clusters
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  Application - Interactive Simulations and VR
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   Definitions
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   IS/VR on Hybrid Clusters
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   The VisSim Project
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   Subsystems for Traditional and Hybrid Clusters
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   Hardware APIs and NVIDIA CUDA
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   CUDA - Architecture
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   CUDA - Programming Model
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   CUDA - API and Interoperability
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  Related Work
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   Computational Steering
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   Existing Systems for Traditional CS
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   Approaches towards CS for Interactive Simulations
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   Remote Visualization
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  Classes of Remote Visualization
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   Client-Side Rendering
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   Server-Side Rendering for 2D and Administration
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   Server-Side Rendering for 3D Applications
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   Limitations and Problems
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  Two Essential Subsystems for IS/VR on Hybrid Cluster Systems
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   Traditional Usage of Hybrid Cluster Systems
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   Hybrid Cluster Systems for IS/VR
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   CS for IS/VR - Idea and Requirements
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   Advanced RV Techniques for IS/VR - Idea and Requirements
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   Computational Steering of IS/VR
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  A Concept for Extended Computational Steering of IS/VR
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  New CS Models
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   Collaborative Computational Steering
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   Synchronized Computational Steering
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   Concurrent Computational Steering
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   Combinations of the Models
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   Requirements
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   Conceptual Design and Classifications
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   Actors in Computational Steering
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   Classification of Simulation Data
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   Passing of Volatile State Data
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   Scheduling of Volatile State Data
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   Dynamic Mapping of Volatile State Data
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   Decoupled Handling of Shared Parameters
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  Architecture of the Framework
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   Communication Server
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   Publish/Subscribe Service
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   Exemplary Workflow
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   Consistency, Performance Estimation and Latency Optimization
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   Best Effort and Dropping of Latecomers
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   Clustering of Communication Servers
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  Prototype - The CSIS Framework
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   Commuvit
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   Architecture
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   Variable Mapping
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   D-Bus
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   The CSIS Server - Integrating Commuvit and D-Bus
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   The CSIS Steering Library
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  Computational Steering of a Distributed Driving Simulator
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   The Virtual Night Drive Simulator
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  Modularizing the VND Simulator
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   The Input Component
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   The Simulation Component
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   The Visualization Component
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   The Audio Component
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   Exemplary Setup of the VND with CS
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   Example for the Passing of Volatile State Data
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   Example for the Passing of Shared Parameters
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   CS-Enhanced Virtual Night Drive - Conclusion
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   Distributed Shader-Based Visualization through CS
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  Computational Steering for an Interactive Material Flow Simulation
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  The d3FACT insight Material Flow Simulation
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   Initialization and Execution of Simulations
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   Modeling with Buildingblocks and Subblocks
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   The Simulation, Tokens and Visualization
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   Communication Limitations
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   Computational Steering in d3FACT insight
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   Adapting the MFS Kernel and the Visualization
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   Interfaces
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   Data Exchange
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   Example Scenario
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   CS-Enhanced d3FACT insight - Conclusion
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   Conclusion - Computational Steering of IS/VR
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   Remote Visualization for IS/VR
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   Limitations of Remote Visualization for IS/VR
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   Slow Compression for High Resolutions
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   Reading Image Data From the Graphics Hardware
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   Rendering to Multiple Targets
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   Programmable Graphics Hardware and GPGPU
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   Invire - A Concept for an Interactive Remote Visualization System
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   The Architecture
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   Data Transfer
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   Image Readback
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   Compression
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   Run Length Encoding
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   Difference Compression with Index
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   Parallel Difference Compression with Index
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   JPEG
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   Parallel JPEG Compression
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   Remote Visualization on Hybrid Clusters
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  Prototype - The Invire Framework
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   Invire Plugin
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   Integration into Host Applications
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   Remote Control of the Application
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  Invire Client
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   Reception, Decompression and Displaying of the Frames
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   Controlling the Remote Application
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  Invire Library
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   The Frame Object
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   Compression/Decompression - General
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   Compression - CUDA-Based DIC
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   Decompression - CUDA-Based DIC
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   Compression - CUDA-Based JPEG
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   Benchmarking the RV Framework
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   The Reference Framework VirtualGL
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   Quality Assessment with the SSIM Index
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   The Benchmarked System and the Sample Applications
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  Benchmarking the Overall System Performance
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   Rotating Teapot
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   Virtual Night Driver
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  Benchmarking Three Different JPEG Implementations
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   JPEG - Compression Times
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   Quality Assessment of the Lossy Compression Methods
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   Benchmarking Conclusion
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   Conclusion - Remote Visualization for IS/VR
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  Conclusion
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   Contributions
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   Conclusion
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   Outlook
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   Bibliography
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   Acronyms