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This review cycle did not include a detailed review of the work of D2 and related
computational issues, as this was done in 2001. We did however see many examples
of the division's work on modeling and simulation.
On the other hand, much of the work done elsewhere in the division does not
require computational sciences that are path-breaking and world class. For that
set of projects, the computing work in D division is largely workmanlike-
certainly "good enough" to get the job done and not exhibiting serious
intellectual deficiencies but also not great computational science.
This level of performance is entirely defensible, in terms of programmatic
requirements. But the division and laboratory management more generally should
consider more carefully whether it is also desirable-whether there are not
further innovations to be won through a broad-based improvement in the quality of
computational science in the division. For quite a long time Los Alamos was in
the leading in scientific computing. In recent years, Argonne, Livermore, and
Oak Ridge have greatly improved their scientific computing while Los Alamos has
struggled to stay even. Thus the fact that computational science within D
division is somewhat mixed reflects a broader malaise at the laboratory, one
requiring leadership from the top.
I feel very uncomfortable about section on
Modeling and Simulation Science
I don't think this field has an agreed meaning
and I am not aware for instance of any recognition
in computer science that such an area is well defined
Outside D division one would talk about
Computational Science and more recently
Science and Engineering Grids
e-Science and e-Engineering
BUT D Division is not state of art in modern large scale
computing technologies in these areas
I believe Chris Barrett's division has a name that reflects
some peculiar local politics -- as you know I think his work
is excellent but it is focussed on one particular approach
to simulation.
So I think this section is handicapped by the weaknesses in
D division in computing (both vision and practice)
and so it is hard to organize properly
I would separate off discussions starting
An excellent example of the highly sophisticated and complex modeling
work ..
(page 16) to
Moreover, the problem focus of LANL-they model because they have a
problem, rather than modeling for its own sake-creates a built in
disciplinary mechanism to continually develop the science and art of
simulation.
(top page 18)
and call it Modeling Complex Systems or something like that
This work is in my opinion generally weak from
a computer science port of view but strong from
an operations analysis/statistics point of view
By separating I think discrepancies in evaluation in current long
sedction become less pronounced
I would remove or modify
a) Such work, motivated by a real problem, transcends its application and
has general value in other avenues such as signal processing, weather
modeling, etc. Many engineers and physicists tend to work on problems
involving multivariate Gaussian models. Unfortunately, such work tends
to be ad hoc (i.e. not mathematically formal) and often fails to exploit
the modern computational tools that are now available and known to those
who specialize in stochastic process theory. The work done in the
division proceeds on a formal footing and in doing so is scientifically
meritorious.
** D division may be good in some ways but weather modeling field and many
other fields are way ahead computationally
b) Elsewhere in this assessment we have flagged for praise the work in
modeling large-scale program management.
** I couldn't find flagged praise! The work on program mangement was humdrum
from an information technology point of view in my opinion
c) A distinctive feature of D division's approach is that the research
staff has absorbed and developed an enormous amount of this "art."
and further notessentences.
** Clearly D division has learnt "art" in its application area of
expertise BUT all "O/E" application areas around the world must
understand their application deeply -- I believe for example
that the high enery physicists and astronomers for example in
leading universities understand best practice in data analysis .
I find controversial assertion that
It is hard to imagine how this could come about at a university,
Finally we come on page 18 to a section one could call
Computing and Computational Science
------------------------------------
Starting
Especially in D2, the theoretical work is path breaking. ....
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We continue to work with Tribal College and other minority communities
on development of a collaboratory. We have identified an early prototype
to demonstrate value of use of Web services in learning objects.
Substantial Progress was made in developing collaboration technologies.
Highlights of this work are:
a) Integration of our Collaboration Environment Garnet with Peer to Peer
technologies.
b) Initial demonstrations of Audio/Video conferencing as a Web Service
with a common XML specification used for integrate H323 (e.g. Polycom)
and SIP (e.g. HearMe) and MBONE (e.g. Access Grid)
c) Design of a new approach to collaboration based on shared Web Services
using portlet architecture
d) Collaborative SVG viewer between PDA and PC's
We gave several talks that inluded these topics including Global Grid Forum,
Alliance Portal Expedition meeting and a visiting group from Taiwan
planning a new national initiative in distance learning.
We discussed collaborative portlets with Sybase and are discussing a new
initiative with San Francisco School District who wish to plan the infrastructure
needed to support emerging learning environments.
Papers on these topics will be presented at PDPTA and a SVGopen conferences this summer
while Fox gave an ICCS 2002 keynote talk (April24 2002) on applications of Web Services
to computing and collaboration.
Geoffrey Fox, Ozgur Balsoy, Shrideep Pallickara, Ahmet Uyar, Dennis Gannon, and Aleksander
Slominski, "Community Grids" invited talk at The 2002 International Conference on
Computational Science, April 21 -- 24, 2002 Amsterdam, The Netherlands
Typical talks are:
http://grids.ucs.indiana.edu/ptliupages/ggf4feb02/ggf4tutorialfeb02.ppt
http://grids.ucs.indiana.edu/ptliupages/distedtalkfeb02.ppt
http://grids.ucs.indiana.edu/ptliupages/ncsaexpeditionmar02.ppt
http://grids.ucs.indiana.edu/ptliupages/collabwsncsaapril02.ppt
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Data Deluge
Data private 1 year
Comb - e - Chem
MyGrid BioInformatics
Meta-data & Search
aircraft engines generate 1 gigabyte of sensor data per flight
IBM Oracle
Tamanoir talk Active Grid INRIA interesting
DyRAM Active Multicast
Stuer Multicast Java Objects
Vazquez Interesting Compression
Sunderam PVM as a Web Service