[hpc-announce] Call For Papers: XLOOP @ SC: Experiment-in-the-Loop Computing

Justin Wozniak woz at anl.gov
Tue Apr 23 11:10:15 CDT 2024


                       == Call for Papers ==

6th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing

                            XLOOP 2024

https://urldefense.us/v3/__https://wordpress.cels.anl.gov/xloop-2024__;!!G_uCfscf7eWS!cKhOuOhnJd6Lv1DmpSr2bQK9qI9jxogNu1ATpB3HRuNPAc1Oyc3z7HD7ypqkZ5hTYx-I38LDii-MViLuag$ 

At SC 2024 --- November 17-22, 2024 --- Atlanta, Georgia, USA

Continued advances in computational power and high-speed networking are 
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 2024) 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.

Previous years' proceedings may be found here:

2023: https://urldefense.us/v3/__https://dl.acm.org/doi/proceedings/10.1145/3624062*heading42__;Iw!!G_uCfscf7eWS!cKhOuOhnJd6Lv1DmpSr2bQK9qI9jxogNu1ATpB3HRuNPAc1Oyc3z7HD7ypqkZ5hTYx-I38LDii8_jTyfKA$ 
2022: https://urldefense.us/v3/__https://ieeexplore.ieee.org/xpl/conhome/10024591/proceeding__;!!G_uCfscf7eWS!cKhOuOhnJd6Lv1DmpSr2bQK9qI9jxogNu1ATpB3HRuNPAc1Oyc3z7HD7ypqkZ5hTYx-I38LDii_MQINB7A$ 
2021: https://urldefense.us/v3/__https://www.computer.org/csdl/proceedings/xloop/2021/1zG2XAuTfyw__;!!G_uCfscf7eWS!cKhOuOhnJd6Lv1DmpSr2bQK9qI9jxogNu1ATpB3HRuNPAc1Oyc3z7HD7ypqkZ5hTYx-I38LDii-ffOmBoQ$ 
2020: https://urldefense.us/v3/__https://www.computer.org/csdl/proceedings/xloop/2020/1pZ0UawOMkU__;!!G_uCfscf7eWS!cKhOuOhnJd6Lv1DmpSr2bQK9qI9jxogNu1ATpB3HRuNPAc1Oyc3z7HD7ypqkZ5hTYx-I38LDii-ZaF0RkQ$ 
2019: https://urldefense.us/v3/__https://ieeexplore.ieee.org/xpl/conhome/8938158/proceeding__;!!G_uCfscf7eWS!cKhOuOhnJd6Lv1DmpSr2bQK9qI9jxogNu1ATpB3HRuNPAc1Oyc3z7HD7ypqkZ5hTYx-I38LDii-UfQigQQ$ 

== Topics ==

Topics of interest include, but are not limited to:
* Machine learning applications in simulation or experiment control
* Case studies in EILC applications and solutions
* Data transfer techniques and technologies
* In situ analysis methods and tools relevant to experiment data
* Simulation and experiment validation methods and tools
* Workflow technologies to manage computation and experiment couplings
* Advanced systems architecture for EILC applications
* High-performance I/O methods and libraries
* Data integration and assimilation algorithms and technologies
* Performance evaluation in EILC applications and solutions
* Cyberinfrastructure and "big science" planning and reporting
* Portable solutions for reproducible, transferable experiments

== Paper Submission ==

Please submit novel papers with up to 8 pages in IEEE style via the SC 
submissions site. Deadlines are:

* Submissions due:                 August 2
* Author notification:             September 6
* Reproducibility info (optional): September 13
* Camera-ready version:            September 27
* Copyright submission:            September 27
* Workshop @ SC:                   November 17, 18, or 22, 2024

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 (ESNet)
Mallikarjun (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)
Rafael Ferreira Da Silva (Oak Ridge National Laboratory)
Geoffrey Fox (Indiana University)
Alex Hexemer (Lawrence Berkeley National Laboratory)
Tony Hey (Rutherford Appleton Laboratory)
Shantenu Jha (Brookhaven National Laboratory)
Wiebke Koepp (Lawrence Berkeley National Laboratory)
Olga Kuchar (Oak Ridge National Laboratory)
Jakob Luettgau (University of Tennessee Knoxville)
Kurt H. Maier (Pacific Northwest National Laboratory)
Preeti Malakar (Indian Institute of Technology Kanpur)
Bojan Nikolic (Square Kilometer Array)
Hannah Parraga (Argonne National Laboratory)
Marc F. Paterno (Fermi National Accelerator Laboratory)
Line Pouchard (Brookhaven National Laboratory)
Thomas E. Proffen (Oak Ridge National Laboratory)
Lavanya Ramakrishnan (Lawrence Berkeley National Laboratory)
Tobias Richter (European Spallation Source)
Jana Thayer (SLAC National Accelerator Laboratory)
Thomas D. Uram (Argonne National Laboratory)


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