Undamaged Damaged Undamaged vs. W / and L / interatomic spacing L W L W Research Application: Molecular Dynamics Mechanical Engineering Physics Chemistry Aerospace Engineering FCC Twinning Plane
Collaborative Scientific Visualization: from your lab to
Internet2 and beyond Matthew Wolf College of Computing Georgia
Institute of TechnologyWork done in collaboration with Dr. Karsten
Schwan Dr. Greg Eisenhauer Zhongtang Cai Weiyun Huang Doug Spearot
Collaborate or Die! Within the academic scientific community,
collaboration, both internal and external, has become a key part of
the funding formula Distributed collaboration has become a
necessity. (The above directive is drawn from a slide title at a
recent DOE meeting) Undamaged Damaged Undamaged vs. W / and L /
interatomic spacing L W L W Research Application: Molecular
Dynamics Mechanical Engineering Physics Chemistry Aerospace
Engineering FCC Twinning Plane Personalized Viewpoints: The
Scientific Data 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 Quality of
service Data Channels have Sample Scientific Data Non-typical, but
sample nonetheless. Want (close to) real time visualization,
photo-realistic, with ability to annotate & discuss remotely.
From Science, 18 August M. Wolf, M. Moseler, and U.Landman Event
Channel Event Sink Event Sink Event Sink Event Source Event Source
Event Channel Model ECho: Event-based Data Exchange Represent
information flows as event streams (publish/subscribe model)
Transparency of local and remote receivers via event channels,
implemented with underlying peer-to-peer communications over TCP,
UDP, Wireless, multicast, etc. Efficient, fully typed binary data
transmission, based on dynamically defined event formats (PBIO)
Dynamic extension of existing formats and discovery/operation on
format contents (reflection) Interoperate with CORBA and Java
(JECho) via IDL and XML ECho: Source-based Filtering: Achieving
Data Personalization via Dynamic Code Generation F( ) Source Sink
F( ) Source { if ((data inside viewing area) and ((data values
inside useful ranges)) { return 1; /* submit into channel */ }
return 0; /* suppress data */ } Filter Function: Filter Example
This filter computes and returns the average of its input array: {
int i; int j; double sum = 0.0; for (i = 0; i < MAXI; i = i + 1)
{ for (j = 0; j < MAXJ; j = j + 1) { sum = sum +
input.array[i][j]; } } output.avg_array = sum / (MAXI * MAXJ);
return 1; /* submit record */ } Filters are the basic units of
composition. To deal with heterogeneity, portable filters are
written in ECL, a subset of a general procedural language (C), and
a native version of a given filters code can be dynamically
generated at the destination. We support dynamic code generation
for MIPS, Alpha, Sparcs, and x86 processors. Overview of the Smart
Pointer Visualization System Filters Personalized Viewpoints: The
Smart Pointer The Personal Connection : The Access Grid
http://www.accessgrid.org A large-group teleconferencing facility
The human interactions interface to grid computing Core middleware
with support for for multimedia streams, interfaces to grid data,
and data visualizations Personalized Viewpoints: The Scientific
Data Portal (revisited) 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 Quality of
service Data Channels have Adding Quality of Service QoS is
important once you begin doing steering as well as visualization.
Working on late or old data is unacceptable Need to enhance the
network-level QoS capabilities with application-level support May
want to change the data stream (b/w vs color, etc) Smart Pointer
itself is an example Application Component Host Extension Modules
Active NI Middleware Extensible Platforms Host Application
Component OS Active NI IQ-ECho: Adapting Applications and Platforms
Quality Attributes 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, Cluster2000 Downloadable versions available from
