[hpc-announce] (CALL FOR WIP TALKS, DEADLINE EXTENSION) PDSW at SC21 - Abstract due September 27, 2021
Thomas Lambert
thomas.lambert at inria.fr
Fri Sep 24 09:58:55 CDT 2021
######### Important Dates for WIP talks ###########################
- Submissions due (One-page abstract): Sep. [ callto:22, 2021, 11 | 22, 2021, 11 ] :59PM AoE
- Notification: On or Before Sep. 24, 2021
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Call for WIP talks: PDSW’21
The 6th International Parallel Data Systems Workshop
[ http://www.pdsw.org/ | http://www.pdsw.org/ ]
Monday, November 15, 2021 9:00am - 5:30pm (CST)
Held in conjunction with SC21, St. Louis, MO
In cooperation with: IEEE TCHPC
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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
Work-in-progress (WIP) Submissions
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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.
Important Dates
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Work in Progress (WIP)
- Submissions due: Sep. [ callto:22, 2021, 11 | 27, 2021, 11 ] :59PM AoE
- WIP Notification: On or Before Sep. 29, 2021
Workshop Organizers
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General Chair:
- Shadi Ibrahim, Inria, France
Program Co-Chairs
- Kento Sato, RIKEN R-CCS, Japan
- Amelie Chi Zhou, Shenzhen University, China
Reproducibility Co-Chairs:
- Carlos Maltzahn, University of California, Santa Cruz
- Alexandru Uta, Leiden University, Netherlands
Publicity Chair:
- Thomas Lambert, Inria, France
Web and Proceedings Chair
- Joan Digney, Carnegie Mellon University
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