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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">This Call For Papers seeks contributions for an upcoming Springer book titled "In Situ Visualization
for Computational Science."</span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">In situ visualization, i.e., visualizing data as it is generated, is an emerging processing
paradigm in response to recent trends in the development of high-performance computers. This paradigm has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely
viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and
best practices are rapidly maturing. </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">The goal of this book is to provide an overview of this emerging field. Specifically, we
seek manuscripts that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our target audience are researchers and practitioners from the areas of mathematics computational science, high-performance computing,
and computer science that work on or with in situ techniques, or desire to do so in the future. </span></span></span></span></span><span style="font-family: Arial, Helvetica, sans-serif">Manuscripts that summarize previous findings in an accessible way for
our target audience or survey work on specific aspects of in situ visualization are within scope for the book. </span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">Contributions should address one or more of the following topics: </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Data reduction and compression </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Specification and execution of in situ visualization workflows </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Implications of emerging architectures </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Algorithmic challenges at scale </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Use cases beyond exploratory analysis </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Predictive cost modeling </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Convergence of HPC and big data techniques </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Software Complexity, Heterogeneity, and User-facing Issues </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">Submissions will be peer-reviewed in a double-blind process by an international program committee,
and are subject to a revision cycle before final acceptance. </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">The timeline for the process is as follows: </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Week of Nov. 5, 2019: Dissemination of the call for contributions and abstract solicitation. </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Dec. 8, 2019: Deadline to contact editors with abstracts (short, informal description of
planned contribution)</span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Jan. 8, 2020: Deadline for paper submission </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Feb. 5, 2020: Notification of preliminary acceptance / rejection </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● Feb. 26, 2020: Revised submissions due </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● March 13, 2020: Formal notification of acceptance</span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● April 3, 2020: Final submissions due </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">● April 24, 2020: Manuscript complete</span></span></span></span></span></span></div>
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Submission Guidelines</h2>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">We seek manuscripts that reflect state-of-the-art research results and best practices in
the area of in situ visualization. Further, a</span></span></span></span></span></span>uthors are kindly requested to contact the editors with an abstract by Dec. 8, 2019. These abstracts should be short, informal descriptions of the planned contribution,
and should be sent as email to isvfcs20@cs.uoregon.edu.</p>
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Manuscripts should be formatted according to the Springer LaTeX template:<br>
<a href="https://www.springer.com/gp/authors-editors/book-authors-editors/resources-guidelines/rights-permissions-licensing/manuscript-preparation/5636">https://www.springer.com/gp/authors-editors/book-authors-editors/resources-guidelines/rights-permissions-licensing/manuscript-preparation/5636</a></p>
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There is no page limit, but we expect most contributions will be 15-20 pages in the Springer format, which is equivalent to an 8 page conference paper in a typical, double column format. The text must be original and not violate copyright, even for manuscripts
that summarize previous findings in an accessible way.</p>
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Submission link: <a href="https://easychair.org/conferences/?conf=isvfcs20" target="_blank" style="color: rgb(238, 0, 0); font-size: 10pt; font-family: Verdana, Arial, Helvetica, sans-serif" id="LPlnk592709">https://easychair.org/conferences/?conf=isvfcs20</a></p>
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Editors</h2>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">Hank Childs, University of Oregon</span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">Janine Bennett, Sandia National Laboratories </span></span></span></span></span></span></div>
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<span style="font-size: 16px"><span><span style="font-family: Calibri, Arial, Helvetica, sans-serif"><span><span style="font-size: small"><span style="font-size: 16px">Christoph Garth, University of Kaiserslautern</span></span></span></span></span></span></div>
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Contact</h2>
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All questions about submissions should be emailed to isvfcs20@cs.uoregon.edu.</p>
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