[hpc-announce] [Extended deadline] [CFP]: 18th Workshop on Workflows in Support of Large-Scale Science (WORKS 2023)

[Mandal, Anirban]

Note: deadline extended to 16th August, 2023



*************************************************

Call for Papers





WORKS  2023

18th Workshop on Workflows in Support of Large-Scale Science (WORKS)

https://works-workshop.org/



Held in conjunction with SC23: The International Conference on High-Performance Computing, Networking, Storage, and Analysis



To be held on Sunday, November 12, 2023

Denver, Colorado





Submissions deadline: August 16, 2023 [Final extension]

Notification to authors: September 08, 2023



*************************************************



Summary



Scientific workflows have been used almost universally across scientific domains and have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation, which enable a broad range of researchers to easily define sophisticated computational processes and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by a number of scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow now can analyze terabyte-scale data sets, be composed of one million individual tasks, require coordination between heterogeneous tasks, manage tasks that execute for milliseconds to hours, and can process data streams, files, and data placed in object stores. The computations can be single core workloads, loosely coupled computations, or tightly all within a single workflow, and can run in dispersed computing platforms, from edge to core resources.



This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: scientific workflows representation and enactment; workflow scheduling techniques to optimize the execution of the workflow on heterogeneous infrastructures; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance.



You can find more information about the workshop, including the call for papers, on our website https://works-workshop.org/



Topics of Interest



WORKS 2023 welcomes original submissions in a range of areas, including but not limited to:



  *   Big Data analytics workflows, AI/ML workflows

  *   Data-driven workflow processing and stream-based workflows

  *   Workflow composition, tools, orchestrators, and languages

  *   Workflow execution in distributed environments (including edge, grid, HPC, clusters, and clouds)

  *   Workflows integrating emerging technologies (e.g., quantum, neuromorphic)

  *   FAIR computational workflows

  *   Dynamic data dependent workflow systems solutions

  *   Exascale computing with workflows

  *   In situ data analytics workflows

  *   Interactive/human-in-the-loop workflows and steering

  *   Workflow fault-tolerance and recovery techniques

  *   Workflow user environments, including portals

  *   Workflow applications and their requirements

  *   Adaptive workflows

  *   Resource provisioning for workflows (elasticity, control, and management)

  *   Workflow optimizations (including scheduling and energy efficiency)

  *   Performance analysis of workflows

  *   Workflow debugging

  *   Workflow provenance

  *   Serverless workflows and serverless orchestration



There will be two forms of presentations:



  *   Talks - Full papers (up to 12 pages) describing a research contribution in the topics listed above.

  *   Lightning Talks - Abstracts (up to 4 pages) describing a novel tool, scientific workflow, or concept.



Submission of a full paper may result in a talk. Submission of an abstract may result in a lightning talk. Each submission will receive at least three reviews from the workshop program committee.



Important Dates



August 16, 2023 [Final extension]: Papers and Abstracts Submission

September 8, 2023: Paper and Abstract Acceptance Notifications

September 29, 2023: Camera-ready Submissions

November 12, 2023: WORKS Workshop at SC23



Submissions



  *   Full papers: Submissions are limited to 12 pages. The 12-page limit includes figures, tables, appendices, and references.

  *   Abstracts: Submissions are limited to 4 pages (including references). The 4-page limit includes the description of a novel tool/science workflow/concept, and a link of a repository in which the novel source-code of the tool is stored. This repository will need to specify all the instructions necessary to execute the tool, so reviewers can test it. Abstracts will be compiled into a single paper and published as part of the workshop proceedings.

The format of the paper should follow ACM manuscript guidelines. Templates are available from this link: https://www.acm.org/publications/proceedings-template



Papers must be submitted electronically via Linklings: https://submissions.supercomputing.org<https://submissions.supercomputing.org/<https://submissions.supercomputing.org%3chttps:/submissions.supercomputing.org/>>



More Information



For more information, please visit the WORKS website at https://works-workshop.org/



Organizing and Program Committees



Silvina Caino-Lores (University of Tennessee, USA)

Anirban Mandal (RENCI, UNC Chapel Hill, USA)

David Abramson (University of Queensland, Australia)

Malcolm Atkinson (University of Edinburgh, UK)

Ewa Deelman (University of Southern California)



Ivona Brandic (Technical University of Vienna)

Kyle Chard (University of Chicago)

Jesus Carretero (University Carlos III of Madrid)

Tainã Coleman (University of Southern California)

Ewa Deelman (University of Southern California)

Vincenzo de Maio (Technical University of Vienna)

Frank Di Natale (Nvidia)

Rosa Filgueira (University of St. Andrews)

Daniel Garijo (Universidad Politécnica de Madrid)

Sandra Gesing (University of Illinois Chicago)

Tristan Glatard (Concordia University)

William Godoy (Oak Ridge National Laboratory)

Shantenu Jha (Rutgers University)

Daniel S. Katz (University of Illinois at Urbana-Champaign)

Tamas Kiss (University of Westminster)

Jakob Luettgau (University of Tennessee)

Ketan C. Maheshwari (Oak Ridge National Laboratory)

Raffaele Montella (University of Naples Parthenope)

Paolo Missier (Newcastle University)

Bogdan Nicolae (Argonne National Laboratory)

Paola Olaya (University of Tennessee)

Tom Peterka (Argonne National Laboratory)

Loïc Pottier (Lawrence Livermore National Laboratory)

Radu Prodan (University of Klagenfurt)

Ivan Rodero (University of Utah)

Raul Sirvent (Barcelona Supercomputing Center)

Tyler Skluzacek (Oak Ridge National Laboratory)

Renan Souza (Oak Ridge National Laboratory)

Frédéric Suter (Oak Ridge National Laboratory)

Domenico Talia (University of Calabria)

Francois Tessier (INRIA Rennes)

Douglas Thain (University of Notre Dame)

Rafael Tolosana-Calasanz (Universidad de Zaragoza)

Sean R. Wilkinson (Oak Ridge National Laboratory)

Justin Wozniak (Argonne National Laboratory)

Orcun Yildiz (Argonne National Laboratory)