Subject:
paper by Fujishiro , Takeshima, Chen Nakamura
From:
Dave Yuen <davey@krissy.msi.umn.edu>
Date:
Wed, 27 Jun 2001 14:37:23 -0500 (CDT)
To:
fox@csit.fsu.edu

this is an interesting paper  and should be published
after more referencing to some of the work by Bob Haimes
from MIT ( see his web site at MIT for additional references
on co-processing , some of his papers 
are listed below
Haimes, R., pV3: A distributed system  for  large-scale  unsteady
CFD visualization, AIAA, paper 94-0321, 1994.
 
Haimes, R. and K.E. Jordan, Using PVM and MPI  for  Co-processed,
distributed  and  parallel  scientific visualization, in Parallel
and Distributed Processing, ed. by J.  Rolim,  Lecture  Notes  in
Computer  Science  1388,  pp. 1098-1105, Springer-Verlag, Berlin,
1998.

Jordan, K.E., Yuen,  D.A.,  Reuteler,  D.M.,  Zhang,  S.  and  R.
Haimes,   Parallel   interactive   visualization   of  3D  mantle
convection, IEEE Computational Science and Engineering, Vol. 3  ,
No. 4, 29 - 37, 1996.
=====

The authors should also discuss more in the section
on conclusions and  future prospects insofar as large
geophysical datasets of terabyte sizes are concerned.
in the abstract more numbers should be quoted in their performance.



david Yuen


ide an overview of the significant body of related and prior
    work on this topic which has accumulated over the last dozen
    or so years.

(2) Describe the parallel algorithms involved, the challenges which
    were encountered in designing and implementing them, and the
    strategies which were adopted to address these challenges.

(3) Provide any analytical or experimental data to suggest how well
    the parallel visualization techniques work from either the
    standpoint of parallel efficiency or raw performance.  The one
    data point which is given is based on a data set which is modest
    in size by current standards and appears to reflect lackluster
    performance.

To be publishable, even in a conference venue, this paper needs much
more technical depth.  Currently, it contains nothing novel, and
precious little that would be of interest to the CC:PE readership.


F. Presentation Changes

This paper has a split personality.  It starts out talking about the
architecture of a parallel visualization system, but abruptly shifts
topics and becomes merely an illustrated list of visualization
techniques, all of which appear to be based on previously reported
work. It needs a sharper focus, much more detail, and a better sense
of what the technical contribution is.


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