[hpc-announce] Deadline extended: XLOOP @ SC 2022: Experiment-in-the-Loop Computing

[Justin Wozniak]

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== Call for Papers ==

4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing

* XLOOP 2022 *


At SC 2022 --- November 14, 2022 --- Dallas, Texas, USA

https://wordpress.cels.anl.gov/xloop-2022



Continued advances in computational power and high-speed networking is

enabling a new model of scientific experiment, experiment-in-the-loop

computing (EILC).  In this model, high-end computing systems are closely

coupled to experimental and observational infrastructure, and the two

interact to drive a deeper understanding of physical phenomena.  At the

same time, advances and widespread adoption of machine learning enables

new ways to register and use experimental data.


Several research and development challenges are posed by this

multifaceted paradigm, many of which are independent of the particular

scientific application domain.  New algorithms to integrate simulation

outputs and experimental data sets must be developed. High performance

data management and transfer techniques must be developed to manage and

manipulate simulated and observed data sets.  Workflows must be

constructed with high levels of usability and understandability to

enable scientific post-analysis and improvement of the computing solution.


The Workshop on Experiment-in-the-Loop Computing (XLOOP 2022) will be a

unique opportunity to promote this cross-cutting, interdisciplinary

topic area.  We invite papers, presentations, and participants from

the physical and computer sciences, and encourage the sharing of

ideas from across these domains to find common solutions and

technologies to make rapid progress in EILC, so that many application

areas can easily adopt these methods.


The proceedings of the workshop will be submitted for publishing to IEEE 
CPS.


Previous years' proceedings may be found here:

2021: https://www.computer.org/csdl/proceedings/xloop/2021/1zG2XAuTfyw

2020: https://www.computer.org/csdl/proceedings/xloop/2020/1pZ0UawOMkU

2019: https://ieeexplore.ieee.org/xpl/conhome/8938158/proceeding


== Topics ==Topics of interest include, but are not limited to:

  *

    Machine learning applications in simulation or experiment control

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    Case studies in experiment science applications and solutions

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    Data transfer techniques and technologies

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    In situ analysis methods and tools relevant to experiment data

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    Simulation and experiment validation methods and tools

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    Workflow technologies to manage computation and experiment couplings

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    Advanced systems architecture for EILC applications

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    High-performance I/O methods and libraries

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    Data integration and assimilation algorithms and technologies

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    Performance evaluation in EILC applications and solutions

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    Cyberinfrastructure and "big science" planning and reporting

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    Portable solutions for reproducible, transferable experiments


== Paper Submission ==Please submit novel papers with up to 6 pages in 
IEEE style via the SC submissions site. Deadlines are:


* Submissions due:August 31, 2022

* Author notification:September 10, 2022

* Reproducibility info (optional) due:September 30, 2022

* Camera-ready version:September 30, 2022

* Copyright submission:September 30, 2022

* Presentation: October 31, 2022

* Workshop @ SC:PM, Monday, Nov. 14, 2022


Templates may be found at the workshop web site.


Reproducibility: XLOOP participates in the reproducibility initiative.  
Reproducibility data does not count against the XLOOP page requirement.  
Details about this data are available at the XLOOP web site.


== Organization ==


Chairs (xloop-chairs at lists.dsl.anl.gov):


Justin M Wozniak (Argonne National Laboratory)

Nicholas Schwarz (Argonne National Laboratory)


Steering committee:


Debbie Bard National Energy Research Scientific Computing Center

Eli Dart ESNetMallikarjun (Arjun) Shankar Oak Ridge National Laboratory

Christine Sweeney Los Alamos National Laboratory

Venkatram Vishwanath Argonne National Laboratory


Program committee:


Tekin Bicer Argonne National Laboratory

Stuart Campbell Brookhaven National Laboratory

Rudolph Dimper European Synchrotron Radiation Facility

Kjiersten Fagnan Lawrence Berkeley National Laboratory

Geoffrey FoxIndiana University

Alex Hexemer Lawrence Berkeley National Laboratory

Tony HeyScience and Technology Facilities Council

Shantenu Jha Brookhaven National Laboratory

Olga Anna Kuchar Oak Ridge National Laboratory

Jakob Luettgau University of Tennessee Knoxville

Preeti Malakar Indian Institute of Technology Kanpur

Bojan Nikolic Square Kilometer Array, Cambridge

Marc F. Paterno Fermi National Accelerator Laboratory

Thomas E. Proffen Oak Ridge National Laboratory

Lavanya Ramakrishnan Lawrence Berkeley National Laboratory

Tobias Richter European Spallation Source

Jana ThayerSLAC National Accelerator Laboratory

Thomas D. Uram Argonne National Laboratory

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-- 
Justin M Wozniak