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SMC 2022 : Smoky Mountains Computational Sciences and Engineering Conference

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Link: https://easychair.org/cfp/SMC_2022
 
When Aug 25, 2022 - Aug 23, 2022
Where Kingsport, TN
Abstract Registration Due Apr 4, 2022
Submission Deadline Jun 17, 2022
Notification Due Jul 18, 2022
Final Version Due Sep 16, 2022
Categories    HPC   engineering   science   tech
 

Call For Papers

The Smoky Mountains Computational Sciences and Engineering Conference (SMC2022) is a premier event for discussing the latest developments in computational sciences and engineering for high-performance computing (HPC) and integrated instruments for science. The conference has been held since 2003. This year, the 19th installment of the conference is virtual and in person at the MeadowView Marriott Resort & Convention Center, Kingsport, Tennessee, USA. The conference theme is “Accelerating science and engineering discoveries through integrated research infrastructure for experiment, big data, modeling and simulation”. This year, the program committee will accept vision papers that include authors’ perspectives on the most important directions for research, development, production, and experiences, and needs for investment. We specifically encourage authors to emphasize their positions, grounded in evidence, in the specific areas identified in the sessions below.

*All submissions must be sent via the easychair link: https://easychair.org/conferences/?conf=smc20220

Important Dates: (please refer to the website as the most up to date schedule will be posted there)

• Call for papers: February 15, 2022

• Abstract submission and paper registration due date: *April 4, 2022 (extended)

• Author notification for abstract acceptance: April 19, 2022

• First Paper submission date: June 10th , 2022

• Final Paper submission date: June 17th , 2022 (hard deadline)

• Author notification for paper acceptance: July 18, 2022

• Conference ready paper submission: August 8, 2022

• Conference presentation: August 23 – 25, 2022

• Submission for Proceedings: September 16th, 2022

Session 1. Foundational Methods Enabling Science in an Integrated Ecosystem

Session chairs – Jim Nutaro and Pablo Selson

This session will address applications that embrace data-driven and first-principle methods, focusing on converging AI methods and approaches with high-performance modeling and simulation applications. Topics will include experiences, algorithms, and numerical methods development and integration with the edge. This session also focuses on mixed-precision, data reduction methods, and scientific libraries and frameworks for converged HPC and AI. Participants will discuss how simulation can be used to train AI models and integrate them to work with simulation applications while quantifying errors.

Session 2. Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem

Session chairs –Helia Zandi and Dayle Smith

Participants will discuss multi-domain applications that use federated scientific instruments with data sets and large-scale compute capabilities, including sensors, actuators, instruments for HPC systems, data stores, and other network-connected devices. Some of the AI and HPC workloads are being pushed to the edge (closer to the instruments) while large-scale simulations are scheduled on HPC systems with large capacities. This session will focus on application integration across domains and scientific datasets that combine AI and HPC with edge computing.

Session 3. Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem

Session chairs –Jack Lange and Addi Thakur Malviya

This session includes programming systems and software technologies for novel computing processors such as neuromorphic, automata, advanced FETs, carbon nanotube processors, and other types of accelerators that meet the SWaP constraints to be deployed at the edge.

To connect instruments from the edge to supercomputers, we need to efficiently collect and process data at the edge. Specialized workflows, efficient networks, data transfer toolkits, and communication libraries need to be developed to minimize the latency between edge and supercomputers and close the AI/learning and control loops. This session will present the latest ideas and findings in the programming and software ecosystems for these rapidly changing and emerging fields.

Session 4. Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem

Session chairs –Sarp Oral and Seth Hitefield

Topics include industry experience and plans for deploying both hardware and software infrastructure needed to support emerging AI and/or classical simulation workloads; for combining on-premises and cloud resources; and for connecting distributed experimental, observational, and data resources and computing facilities using edge technologies. This session will focus on how emerging technologies can be co-designed to support compute and data workflows at scale for next-generation HPC and AI systems.

Session 5. SMC2022 Scientific Data Challenges

Data Challenge chair - Hong Liu

Data Challenge co-chair - Suzanne Parete-Koon

SMC2022 provides an opportunity to tackle scientific data challenges that come from eminent data sets at ORNL. These data sets come from scientific simulations and instruments in physical and chemical sciences, electron microscopy, bioinformatics, neutron sources, urban development, and other areas. These data sets will be used for the SMC Data Challenge (SMCDC2022) competition. For more information please visit: https://smc-datachallenge.ornl.gov. Please note the submission dates for the Data Challenge differ. *Please note the special instructions for the Data-Challenge below.

Important Dates for Data Sponsors:

• Challenge descriptions due date: March 7,2022

• Datasets: April 4, 2022

• Website goes live: April 11, 2022

Abstract and paper submission instructions:
All contributions are planned to be published in SMC2022 proceedings in a CCIS Springer volume (pending approval) and will be peer-reviewed by the program committee. Authors should clearly identify which of the four sessions described above their paper is targeting. Papers that do not fit into a session (either by topic or due to the number of papers accepted for a session) will be considered for short presentations in a poster session. All authors must first submit a 250-word abstract to register their papers. Once the abstract is accepted, we will encourage the authors to submit full papers. We will accept full papers of 12-18 pages. Papers need to be formatted according to Springer’s single-column style. Please use the paper templates available for LaTeX and Word (https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines). The copyright will need to be transferred to Springer. A copyright form will be provided to authors which allows users to self-archive.

Abstracts and papers need to be uploaded via easychair and will not be accepted via email.

*Special Instructions for Data Sponsors (Session 5):

All contributions are planned to be published in SMC2022 proceedings in a CCIS Springer volume and will be peer-reviewed by the program committee. Data sponsors participating in the SMCDC2022 competition are invited to submit papers describing their challenge data sets and challenge questions. The opening sections should include a full description of the data that explains why this data set is significant in their scientific field and what the broader implications of learning from this data set may be. Include instructions for reading the data and a description of the data format as well. The latter sections of the paper should include three to five challenge questions listed in order of increasing difficulty. The first question should encourage scientists or students who are non-experts in novel data analytics techniques to attempt the challenge, and there should be at least one advanced, expert level question. Give a detailed description of expected answers to the challenge questions; e.g. tools used and algorithms developed or implemented. Papers need to be formatted according to Springer’s single column style. Please use the paper templates available for LaTeX and Word (https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines). The copyright will need to be transferred to Springer. A copyright form will be provided, which allows users to self-archive.

* Data Sponsors are invited. If you have not been invited to be a data sponsor but would like to know more about submitting a Data Challenge for a future SMC, please contact Hong Liu liuh@ornl.gov or Suzanne Parete-Koon paretekoonst@ornl.gov.

Special Instructions for Data Challenge Solution Papers:

All selected contributions are planned to be published in SMC2022 proceedings in a CCIS Springer volume and will be peer-reviewed by the program committee.

Papers should be between 6 and 8 pages in length and contain the following sections:

A proposed solution to one of the data challenges, background and related work, approach and uniqueness, results, and contributions.
Your code may be included as an appendix to the pdf beyond the page limit.
Papers will be peer-reviewed and judged by the program committee based on how well they cover these aspects of the work.
Selected contributions are planned to be published in SMC2022 proceedings in a CCIS Springer volume.
A selected set of papers will be invited to extend work to full papers of 12 pages and it will be due during the camera-ready deadline.
Papers need to be formatted according to Springer’s single-column style. Please use the paper templates available for LaTeX and Word (https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines). The copyright will need to be transferred to Springer. A copyright form will be provided, which allows users to self-archive.

Organizing Committee

General Chair: Jeff Nichols

Conference Chair: Al Geist

Program Chair: Swaroop Pophale

SMC Data Challenge Chair: Hong Liu

SMC Data Challenge Co-Chair: Suzanne Parete-Koon

Conference Organizer: Theresa Ahearn

Contact

All questions about submissions should be emailed to...

Theresa Ahearn: ahearntm@ornl.gov

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