1. Remote Visualization Using Low-Level Event Services and Cluster Computing — OR — ECho, cluster computing, and the Access Grid M. D.Wolf, K. Schwan, and G. Eisenhauer Georgia Institute of Technology

2. Members: Karsten Schwan, CS Kevin Brennan, ECE Uzi Landman, PHYS Sudharkar Yalamanchili, ECE Ellis Johnson, ISYE David McDowell, ME Suresh Menon, AE http://www.cc.gatech.edu/projects/ihpcl + Research Scientists and Graduate Students

3. transport model... chemical model VisAD 3d Active Interface 3d vis & steering Active Filter Spectral2Grid historical chemical model results heterogeneous client interfaces or portals information transformation and routing Collaborative HPC Applications IHPCL Access Grid

4. Undamaged Damaged Undamaged vs. W / and L /  interatomic spacing L W L W Research Application: Molecular Dynamics Mechanical Engineering Physics Chemistry Aerospace Engineering

5. Real-Time, “Photographic” Visualization Taken from the same research on the cover of the August 18, 2000 edition of Science.

6. Raytracing (pvmpov) Molecular Dynamics Disk (binary format) every timestep Media Conversion Event Channel Current Implementation Viewer VRML generation

7. AG Raytracing (pvmpov) Molecular Dynamics Disk (binary format) every timestep Event Channel What We Would Like User Portal Event Channel (3D)

8. So What’s This Portal? Directory Services Data Video Audio Distributed PowerPoint local storage Data Channels Video High Bandwidth Data labeling synchronization replay user-defined transformation high performance handle “large” data feeds Data Channels have

9. Event Channel Event Sink Event Sink Event Sink Event Source Event Source Network Delivery

10. ECho Infrastructure Event Services for data and control structures Interoperability –Automatic conversion of data types between platforms –Bindings for C and Java; Fortran almost completed No centralization, channels are represented by distributed data structures Local event delivery by subroutine call or queuing Remote delivery multiplexed over shared communications links (TCP, UDP, Wireless, multicast)

11. Message size Bandwidth (Mbps) ECho Performance

12. ECho latency

13. Event Channel New Event Channel F( ) SourceSink Derived Event Channels Derived Channels extend the ECho Model F() is a user-specified function, with on-demand, inline binary code generation F() can be dynamically linked into the source Next: Third party evaluation of F()

14. Event Channel Event Channel F1() Event Channel F2() Event Channel F3() SourceSink Chaining Derivations

15. SourceSink F1() F2() F3() Sink

16. AG Raytracing (pvmpov) Molecular Dynamics The Next Step... local F1() F2() F3() 3D+AG Portal AG Portal Data w/stereo Data for 2D clients Color-coded

17. ECho References The ECho Event Delivery System, Greg Eisenhauer A Middleware Toolkit for Client-Initiated Service Specialization, Greg Eisenhauer, Fabian Bustamente and Karsten Schwan, Proceedings of the PODC Middleware Symposium - July 18-20, 2000 Event Services for High Performance Computing, Greg Eisenhauer, Fabian Bustamente and Karsten Schwan, Proceedings of High Performance Distributed Computing (HPDC-2000) JECho - Supporting Distributed High Performance Applications with Java Event Channels, Dong Zhou, Karsten Schwan, Greg Eisenhauer and Yuan Chen, To appear at Cluster2000 Downloadable versions available from http://www.cc.gatech.edu/systems/projects/ECho/