A new issue of CTWatch Quarterly has been released.
This issue is likely to be of most interest to those involved in e-science.
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As in previous years, the Winter issue of Cyberinfrastructure
Technology Watch Quarterly (CTWQ), which we are pleased to make
available today, is being published in time for the annual
supercomputing conference, which has been staged every fall for two
decades. This year's event, SC07, is already under way this week in
Reno, NV where thousands of people from academic research groups,
national research labs, and hardware and software vendor communities
are gathering to exchange ideas and find out about the latest
developments in Computational Science, high performance and grid
computing, and cyberinfrastructure generally.
Against this background, the theme of this issue of CTWQ - Software
Enabling Technologies for Petascale Science - which has been organized
by guest editor Fred Johnson of the Department of Energy, is especially
apropos. For nothing at SC07 will be more noticeable than the
continuing and incredible increases in the complexity of today's
leading edge scientific applications, the size of the problems they are
intended to solve, and the scale of the computing platforms on which
their work has to be done. The esteemed authors of the articles in this
issue make clear that without a substantial and sustained effort to
create and maintain the large collection of middleware and software
tools that this new approach to computationally and data intensive
scientific inquiry requires, the remarkable insights it can yield,
especially in areas of critical importance like climate change and
energy production, would remain undiscovered for far longer than we can
afford. Describing the work of some of the nation's premier software
cyberinfrastructure research teams in distributed data management,
scientific application development, performance tuning, or scientific
visualization, these authors provide a glimpse into the rich diversity
of the software ecosystem on which rapid progress in science and
engineering increasingly depends.
Please visit http://www.ctwatch.org/quarterly/ at your convenience to
get your own copy of this issue of CTWatch Quarterly.
For our Spring issue, due in February, guest editor Pete Beckman of
Argonne National Laboratory and the University of Chicago has assembled
a truly outstanding collection of authors to present the latest ideas
on "urgent computing." High-performance modeling and simulation are
increasingly being used to support time-critical applications such as
severe weather prediction, flood modeling, and influenza modeling.
This issue of CTWQ will focus on these science applications and the
infrastructure needed to support "urgent computing." Please join us
again in February for what we expect to be another very strong issue.
Thank you!
CTWatch Quarterly Editorial staff
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--
R. John Robertson
skype: rjohnrobertson
University of Strathclyde
Researcher
Centre for Digital Library Research
Tel: +44 (0) 141 548 4752
Repositories Research Officer (JISCCETIS),
Centre for Academic Practice and Learning Enhancement
Tel: +44 (0) 141 548 3072
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