[hpc-announce] Call for papers: SC21 UrgentHPC workshop

Nick Brown n.brown at epcc.ed.ac.uk
Wed Jul 28 09:29:24 CDT 2021

                              CALL FOR PAPERS

      Third international workshop on HPC for Urgent Decision making

            In conjunction with SC21: The International Conference for
          High Performance Computing, Networking, Storage and Analysis,
              Friday morning November 19, 2021, St. Louis, MO, USA


Paper submission deadline: August 28, 2021 (AoE)
Author notification: September 18, 2021
Camera ready deadline: September 30, 2021
Workshop: Friday morning, 19th November 2021

Responding to disasters such as COVID-19, wildfires, hurricanes, extreme
flooding, earthquakes, tsunamis, and accidents; technological advances
are creating exciting new opportunities that have the potential to move
HPC well beyond traditional computational workloads. Whilst HPC has a
long history of simulating disasters, what’s missing to support
emergency, urgent, decision making is fast, real-time acquisition of
data and the ability to guarantee time constraints.

Our ability to capture data continues to grow very significantly, and
combining high velocity data and live analytics with HPC models can aid
in urgently responding to real-world problems, ultimately saving lives
and reducing economic loss. It’s not just responding to disasters, but
also making urgent decisions addressing more general issues such as
human health emergencies and global diseases. The challenges here are
significant, but if HPC can be proven as a tool in responding to these
real-world issues, the impact for our community is huge.

Leveraging HPC for urgent decision making requires expertise in a wide
range of areas, from dealing with real-time data, to experience in
generating results within a specific time frame (real-time constraints),
and generating visualisations enabling front-line decision makers to
make correct choices first time, every time. It isn’t just technical
challenges, but also policy issues that also need to be considered such
as utilising our HPC machines in a more interactive manner to enable the
urgent exploration of numerous disaster responses.

This workshop will bring together stakeholders, researchers and
practitioners from across the HPC community to identify and tackle
issues involved in using HPC for urgent decision making. Success
stories, case-studies and challenges will be shared, with the goal of
further building up a community around leveraging HPC as an important
tool in urgently responding to disasters and societal challenges.

Call for Papers
We invite you to submit both full and hot-topic research papers
detailing original work in the area of using HPC for making urgent
decisions. Topics of interest for workshop submissions include (but are
not limited to):

* Use of HPC and big-data for tackling COVID-19
* Example use-cases and case-studies that use HPC for urgent decision making
* Techniques for handling interactive workloads
* Approaches to verify and validate unreliable real-time data, for
instance from sensors, IoT and satellites
* System design for data reduction and pre-processing at source, for
instance using edge computing and heterogeneous resources such as FPGAs
* The use of data formats and conversion techniques to support the
handling of data from numerous and diverse sources
* Techniques for integrating HPC workflows with real-time data
* Algorithmic techniques to guarantee result generation in specific time
frames, such as result refinement which generates more accurate results
as time progresses
* Studies of leveraging HPC for workloads with real-time time constraints
* Changes to existing HPC technologies and policies that are required to
support using HPC interactively
* The ability for HPC codes to adapt their resource requirements
dynamically, for instance via elastic compute
* Visualisation and presentation techniques to support rapid and
accurate urgent decision making by the end user
* Reduction and feature extraction of results to highlight critical
issues of interest
* Complimenting results with provenance data for additional context and
* Data analysis techniques for making urgent decisions in response to

Paper Submission Guidelines
* Papers should be submitted electronically via the SC21 Submission Page
* We anticipate that papers will be published via IEEE TCHPC, and as
such they must follow the IEEE formatting, templates available at
* Full paper submissions are limited to 10 pages and hot-topic
submissions 6 pages. The page limit includes figures, tables, and
appendices, but does not include references, for which there is no page
* Submitted papers should not have appeared in or be under consideration
for a different workshop, conference or journal.
* In submitting the paper, the authors acknowledge that at least one
author of an accepted submission will register for and attend the workshop.

There is more information available at https://www.urgenthpc.com and
please feel free to email any questions to Nick Brown
(n.brown at epcc.ed.ac.uk)

* Nick Brown (EPCC at the University of Edinburgh)
* Vinay Amatya (PNNL, DoE)
* Deidre Brucker (NCAR)
* Thierry Goubier (CEA)

Program Committee
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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