pdsw 2021:

6th International Parallel Data Systems Workshop


HELD IN CONJUNCTION WITH SC21: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

In cooperation with: IEEE TCHPC


DATE: November 15, 2021
America's Center, St. Louis, MO

Time: 9:00 am - 5:30 PM (cST)

SC Workshop page


 

Program Co-Chairs:

Riken, Japan


Shenzhen University, China

Publicity Chair:

Inria, France

Web & Publications Chair:

Carnegie Mellon University
General Chair:

Inria, France

Reproducibility Co-Chairs:

University of California, Santa Cruz


Leiden University, Netherlands

CAMERA READY DEADLINE EXTENDED - TBD

 

Please note that pre-recorded presentations are still due on October 13, 2021 (AoE)

abstract / agenda / invited speaker / cfp / submissions / WIP session
committees / author instructions / workshop registration


Invited speaker


Marcos K. Aguilera, VMware

Why Memory Is Your Next Bottleneck And How To Overcome It
This talk will explain why memory is becoming a significant problem for computing, and will discuss how technology and research can help [more].



agenda

 

Coming soon.


WORKSHOP ABSTRACT


We are pleased to announce the 6th International Parallel Data Systems Workshop (PDSW'21). PDSW'21 will be hosted in conjunction with SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis.

Efficient data storage and data management are crucial to scientific productivity in both traditional simulation- oriented HPC environments and Big Data analysis environments. This issue is further exacerbated by the growing volume of experimental and observational data, the widening gap between the performance of computational hardware and storage hardware, and the emergence of new data-driven algorithms in machine learning.

The goal of this workshop is to facilitate research that addresses the most critical challenges in scientific data storage and data processing.  We therefore encourage the community to submit original manuscripts that:

  • introduce and evaluate novel algorithms or architectures
  • inform the community of important scientific case studies or workloads
  • validate the reproducibility of previously published work

Special attention will be given to issues in which community collaboration is crucial for problem identification, workload capture, solution interoperability, standardization, and shared tools.  We also strongly encourage papers to share complete experimental environment information (software version numbers, benchmark configurations, etc.) to facilitate collaboration.

Topics of interest include the following:

  • Scalable architectures for data storage, archival, and virtualization
  • Performance benchmarking, resource management, and workload studies
  • Programmability of storage systems
  • Parallel file systems, metadata management, and complex data management
  • Alternative data storage models, including object stores and key-value stores
  • Programming models and frameworks for data intensive computing
  • Techniques for data integrity, availability, reliability, and fault tolerance
  • Productivity tools for data intensive computing, data mining, and knowledge discovery
  • Application of emerging big data frameworks towards scientific computing and analysis
  • Enabling cloud and container-based models for scientific data analysis
  • Data filtering/compressing/reduction techniques
  • Tools and techniques for managing data movement among compute and data intensive components
  • Integrating computation into the memory and storage hierarchy to facilitate in-situ and in-transit data processing

CALL FOR PAPERS

 

CALL FOR PAPERS


Regular paper SUBMISSIONS

All papers will be evaluated by a competitive peer review process under the supervision of the workshop program committee. Selected papers and associated talk slides will be made available on the workshop web site. The papers will also be published by the IEEE TCHPC.

Authors of regular papers are strongly encouraged to submit Artifact Description (AD) Appendices that can help to reproduce and validate their experimental results. While the inclusion of the AD Appendices is optional for PDSW’21, submissions that are accompanied by AD Appendices will be given favorable consideration for the PDSW Best Paper award.

PDSW’21 follows the SC21 Reproducibility Initiative. For Artifact Description (AD) Appendices, we will use the format of the SC21 for PDSW'21 submissions. The AD should include a field for one or more links to data (zenodo, figshare, etc.) and code (github, gitlab, bitbucket, etc.) repositories. For the Artifacts that will be placed in the code repository, we encourage authors to follow the PDSW'21 Artifact Packaging Guidelines on how to structure the artifact, as it will make it easier for the reviewing committee and readers of the paper in the future.

Submit a not previously published paper as a PDF file, indicate authors and affiliations. Papers must be up to 5 pages, not less than 10 point font and not including references and optional reproducibility appendices. Papers must use the IEEE conference paper template available at: https://www.ieee.org/conferences/publishing/templates.html.

Deadlines

Regular Papers & Reproducibility Study Papers due: Submissions Closed
Submissions website: https://submissions.supercomputing.org/
Notification: Sep. 15, 2021
Copyright forms due: Deadline extended - TBD
Pre-recorded presentation due: Oct. 13, 2021 (AoE)
Slides due before workshop: TBA
Camera ready files due:
Deadline extended - TBD
* Submissions must be in the IEEE conference format


Work In Progress (WIP) Session


We have a WIP session where presenters provide short talks on their on-going work, with fresh problems/solutions. WIP content is typically material that may not be mature or complete enough for a full paper submission and will not be included in the proceedings. A one-page abstract is required for the submission.

Please email your submission as a PDF attachment of the one-page abstract to Kento Sato and Amelie Chi Zhou. Put "PDSW 2021 WIP" as the first part of the message subject. To verify your submission a reply will be made indicating official submission. If you do not receive such an email within 2 hours of the above deadline, please forward the original submission again.

Deadlines

Work in Progress (WIP) submissions due: Submissions Closed
Notification: On or before Sep. 29, 2021
Pre-recorded presentation due: Oct. 13, 2021 (AoE)


Workshop Registration

Registration opens July 14, 2021. Supercomputing is optimistic they will convene in-person for SC21. However, understand that there may be unforeseeable events related to COVID-19 that may impact attendee travel or on-site participation. To allow you to prepare, find details on registration pricing, and policies affecting registration changes and cancellations here on July 14.


PROGRAM COMMITTEE:

 

  • Olivier Beaumont, Inria
  • Jalil Boukhobza, University of Western Brittany, France
  • Suren Byna, Lawrence Berkeley National Laboratory
  • Yong Chen, Texas Tech University
  • Hank Childs, University of Oregon
  • Matthieu Dorier, Argonne National Laboratory (ANL)
  • Bogdan Ghit, Databricks
  • Bingsheng He, National University of Singapore
  • Youngjae Kim, Sogang University
  • Johann Lombardi, Intel Corporation
  • Xiaoyi Lu, University of California, Merced
  • Xiaosong Ma, Qatar Computing Research Institute
  • Kathryn Mohror, Lawrence Livermore National Laboratory
  • Diana Moise, Hewlett Packard Enterprise
  • Sarah Neuwirth, Habilitation Candidate at Goethe University
  • M. Mustafa Rafique, Rochester Institute of Technology
  • Raghunath Raja Chandrasekar, Enfabrica
  • Michael Schöttner, Duesseldorf University
  • Tong Shue, Southern Illinois University Carbondale
  • Domenico Talia, University of Calabria
  • Vasily Tarasov, IBM Corporation
  • Osamu Tatebe, University of Tsukuba
  • Bing Xie, Oakridge National Laboratory
  • Haiying Xu, NCAR

STEERING COMMITTEE:

  • John Bent, Cray
  • Ali R. Butt, Virginia Tech
  • Philip Carns, Argonne National Laboratory
  • Shane Canon, Lawrence Berkeley National Laboratory
  • Raghunath Raja Chandrasekar, Stealth Startup
  • Yong Chen, Texas Tech University
  • Evan J. Felix, Pacific Northwest National Laboratory
  • Gary Grider, Los Alamos National Laboratory
  • William D. Gropp, University of Illinois at Urbana-Champaign
  • Dean Hildebrand, Google
  • Shadi Ibraim, Inria, France
  • Dries Kimpe, KCG, USA
  • Glenn Lockwood, Lawrence Berkeley National Laboratory
  • Jay Lofstead, Sandia National Laboratories
  • Xiaosong Ma, Qatar Computing Research Institute, Qatar
  • Carlos Maltzahn, University of California, Santa Cruz
  • Suzanne McIntosh, New York University
  • Kathryn Mohror, Lawrence Livermore National Laboratory
  • Robert Ross, Argonne National Laboratory
  • Philip C. Roth, Oak Ridge National Laboratory
  • John Shalf, NERSC, Lawrence Berkeley National Laboratory
  • Xian-He Sun, Illinois Institute of Technology
  • Rajeev Thakur, Argonne National Laboratory
  • Lee Ward, Sandia National Laboratories
  • Brent Welch, Google