1. Interactive Videostreaming Visualization on Clusters and Grids
Dieter Kranzlmüller
GUP Linz Joh. Kepler University Linz

2. Motivation: Data Computing produces possibly huge amounts of data
Further increases:
multicore architectures
clusters
grids
Users are interested in understanding the data
D. Kranzlmüller
CCGSC 2006

3. Example: Biomedicine Parallel simulation of blood flow on the Grid
Online visualization of simulation results on the desktop
Interactive steering of simulation
Grid is „invisible“
D. Kranzlmüller
CCGSC 2006
Cooperation with University Amsterdam

4. HowTo: Visualization on the Grid
Specification of graphics generation
Transportation of visualization data
Rendering of visual output
Prerequisite:
 Interactive access to grid nodes glogin
D. Kranzlmüller
CCGSC 2006

5. glogin - Interactive Tunneling
Client
Gatekeeper
Worker Node
Point of Contact
glogin
Interactive
Bidirectional Connection
Worker Node
Worker Node
glogin’
Traffic
Forwarding
socket
Worker Node
Worker Node
D. Kranzlmüller
CCGSC 2006
on the Grid

6. glogin Shell – Interactive access to grid nodes
Authentication via grid certificates
Tunneling of arbitrary traffic
D. Kranzlmüller
CCGSC 2006

7. HowTo: Visualization Specification of graphics generation
Transportation of visualization data
Rendering of visual output
D. Kranzlmüller
CCGSC 2006

8. 1. Specification of graphics generation
Users utilize different visualization toolkits during their everyday work (VTK, OpenDX, OpenGL, …)
Users are reluctant to learn new tools due to existing experience and learning curve
Requirement 1: Integrate with existing visualization tools
D. Kranzlmüller
CCGSC 2006

9. 2. Transportation of visualization data
Data needs to be transported to (possibly multiple) output device over long-distance network connections
Latency: download data today, visualize tomorrow
Requirement 2: Reduce amount of data to be transported
D. Kranzlmüller
CCGSC 2006

10. 3. Rendering of visual output
Rendering of data requires sufficient memory at the output device and powerful graphics engines
Different output devices are used in different environments (PDA, …, VR)
Requirement 3: Enable display output on different devices
D. Kranzlmüller
CCGSC 2006

11. Requirements Integrate with existing visualization tools
Reduce amount to be transported
Enable display output on different devices
Grid Visualization Kernel (GVK)
for interactive visualization on the grid
D. Kranzlmüller
CCGSC 2006

12. GVK Integration with existing tools
Example OpenDX flow graph
D. Kranzlmüller
CCGSC 2006

13. GVK Integration with existing tools
Example OpenDX flow graph
using
GVK
D. Kranzlmüller
CCGSC 2006

14. GVK Reduction of data transport
Occlusion culling
D. Kranzlmüller
CCGSC 2006

15. GVK Display on different devices
Simulation of flooding on the Grid
Visualization of results in the CAVE
Grid is „invisible“
D. Kranzlmüller
CCGSC 2006
Cooperation with Slowak Academy of Sciences

16. Grid-enabled Video streaming
GVK Extension
Grid-enabled Video streaming
Generate video stream at data origin using off-screen rendering and video capturing  Data remains where it is produced!
Transport video stream to output device
Display video stream on output device
Manage interactive input on output device
D. Kranzlmüller
CCGSC 2006

17. GVid Extension to GVK Grid Visualization Kernel video stream
Worker node
Grid Visualization
Kernel
Worker node
video stream
inter- action
WORKING!
video stream
video stream
Worker node
glogin’
Client
interaction
interaction
glogin
GVid Encode
on the Grid
D. Kranzlmüller
CCGSC 2006

18. Example: GVid
D. Kranzlmüller
CCGSC 2006

19. Example: GVid Output Device
Sony Playstation Portable (PSP):
CPU: MIPS R-4000
Memory Stick PRO Duo (32 MB-1 GB)
Wi-Fi (802.11b)
MPEG-4 Video Codec
D. Kranzlmüller
CCGSC 2006

20. GVid Output on PSP
D. Kranzlmüller
CCGSC 2006

21. GVid Characteristics 1/2
Scientific data remains at producer – only visual output is transported  reduced start-up latency
Integration in any visualization toolkit due to screen capturing
Hardware acceleration (if available) or the power of the source machine(s) can be used at data origin for off-screen rendering
D. Kranzlmüller
CCGSC 2006

22. GVid Characteristics 2/2
Standard MPEG video streaming protocols are used for transportation  display on any device
Video stream can be dynamically adapted to output device and network characteristics
Multicast to different output devices (including stereo video) is possible
Encryption of video stream is possible
D. Kranzlmüller
CCGSC 2006

23. Team Dieter Kranzlmüller, Martin Polak, Thomas Köckerbauer,
Paul Heinzlreiter, Herbert Rosmanith,
Hans-Peter Baumgartner, Peter Praxmarer,
Andreas Wasserbauer, Gerhard Kurka,
Jens Volkert
D. Kranzlmüller
CCGSC 2006

24. More Information GVK: http://www.gup.jku.at/gvk
GVid:
glogin:
D. Kranzlmüller
CCGSC 2006