3rd International Workshop on Extreme-Scale Storage and Analysis (ESSA 2022)

CALL FOR PAPERS

ESSA 2022: 3rd International Workshop on Extreme-Scale Storage and Analysis
(Formerly HPS: International Workshop on High Performance Storage)

Held in conjunction with IPDPS 2022 - June 3rd, 2022, Lyon, France

https://sites.google.com/view/essa-2022/

We are organizing the third edition of the International Workshop on High Performance Storage (HPS) held in conjunction with IPDPS in 2020 and 2021 under a renewed name: ESSA - the International Workshop on Extreme-Scale Storage and Analytics (ESSA). The workshop is renamed to enlarge the scope of the HPS workshop mainly focused on storage to also more explicitly reflect our intention to also include topics related to data processing and analytics.

Advances in storage are becoming increasingly critical because workloads on high performance computing (HPC) and cloud systems are producing and consuming more data than ever before, and the situation promises to only increase in future years. Additionally, the last decades have seen relatively few changes in the structure of parallel file systems, and limited interaction between the evolution of parallel file systems and I/O support systems that take advantage of hierarchical storage layers. However, recently the community has seen a large uptick in innovations in data storage and processing systems as well as in I/O support software for several reasons:

  • Technology: The availability of an increasing number of persistent solid-state storage and persistent storage-class memory technologies that can replace either memory or disk are creating new opportunities for the structure of storage systems.

  • Performance requirements: Disk-based parallel file systems cannot satisfy the performance needs of high-end systems. However, it is not clear how solid-state storage and storage-class memory can best be used to achieve the needed performance, so new approaches for using solid-state storage and storage-class memory in HPC systems are being designed and evaluated.

  • Application evolution: Data analysis applications, including graph analytics and machine learning, are becoming increasingly important both for scientific computing and for commercial computing. I/O is often a major bottleneck for such applications, both in cloud and HPC environments – especially when fast turnaround or integration of heavy computation and analysis are required. Consequently, data storage, I/O and processing requirements are evolving, as complex workflows involving computation, analytics and learning emerge.

  • Infrastructure evolution: HPC technology will not only be deployed in dedicated supercomputing centers in the future. "Embedded HPC", "HPC in the box", "HPC in the loop", "HPC in the cloud", "HPC as a service", and "near-to-real-time simulation" are concepts requiring new small-scale deployment environments for HPC. A federation of systems and functions with consistent mechanisms for managing I/O, storage, and data processing across all participating systems will be required to create what is called a "computing continuum".

  • Virtualization and disaggregation: As virtualization and disaggregation become broadly used in cloud and HPC computing, the issue of virtualized storage has increasing importance and efforts will be needed to understand its implications for performance.

Our goals in the ESSA Workshop are to bring together expert researchers and developers in data-related areas such as storage, I/O, processing and analytics on extreme scale infrastructures including HPC systems, clouds, edge systems or hybrid combinations of these, to discuss advances and possible solutions to the new challenges we face. We expect the ESSA Workshop to result in lively interactions over a wide range of interesting topics, including:

  • Extreme-scale storage systems (on high-end HPC infrastructures, clouds, or hybrid combinations of them)

  • Extreme-scale parallel and distributed storage architectures

  • The synergy between different storage models (POSIX file system, object storage, key-value, row-oriented, and column-oriented databases)

  • Structures and interfaces for leveraging persistent solid-state storage and storage-class memory

  • High-performance I/O libraries and services

  • I/O performance in extreme-scale systems and applications (HPC/clouds/edge)

  • Storage and data processing architectures and systems for hybrid HPC/cloud/edge infrastructures, in support of complex workflows potentially combining simulation and analytics

  • Integrating computation into the memory and storage hierarchy to facilitate in-situ and in-transit data processing

  • I/O characterization and data processing techniques for application workloads relying on extreme-scale parallel/distributed machine-learning/deep learning

  • Tools and techniques for managing data movement among compute and data intensive components

  • Data reduction and compression

  • Failure and recovery of extreme-scale storage systems

  • Benchmarks and performance tools for extreme-scale I/O

  • Language and library support for data-centric computing

  • Storage virtualization and disaggregation

  • Ephemeral storage media and consistency optimizations

  • Storage architectures and systems for scalable stream-based processing

  • Study cases of I/O services and data processing architectures in support of various application domains (bioinformatics, scientific simulations, large observatories, experimental facilities, etc.)

SUBMISSION INFORMATION

The workshop will accept traditional research papers (8-10 pages) for in-depth topics and short papers (4-8 pages) for work in progress on hot topics. Papers should present original research and provide sufficient background material to make them accessible to the broader community.

Paper format: single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The submitted manuscripts should include author names and affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available here: https://www.ieee.org/conferences/publishing/templates.html

Submission site: https://ssl.linklings.net/conferences/ipdps/?page=Submit&id=ESSAWorkshopFullSubmission&site=ipdps2022

IMPORTANT DATES

  • Abstract submission (optional) deadline: January 28th, 2022

  • Paper submission deadline: February 1st, 2022 February 14th, 2022 (Extended)

  • Acceptance notification: March 1st, 2022 March 7th, 2022

  • Camera-ready deadline: March 15th, 2022

  • Workshop date: June 3rd, 2022

ORGANIZATION

Workshop Chairs

Osamu Tatebe, University of Tsukuba, Japan - Chair - tatebe@cs.tsukuba.ac.jp
Gabriel Antoniu, Inria, France - Co-Chair - gabriel.antoniu@inria.fr

Program Chairs

Kento Sato, RIKEN, Japan - Chair - kento.sato@riken.jp
Murali Emani, ANL, USA - Co-Chair - memani@anl.gov

Program Committee

Julien Bigot, CEA, France
Angelos Bilas, Forth, Greece
Suren Byna, LBNL, USA
Franck Cappello, ANL, USA
Toni Cortes, Barcelona Supercomputing Center, Spain
Alexandru Costan, Inria, France
Matthieu Dorier, ANL, USA
Luanzheng Guo, University of California, Merced, PNNL, USA
Hideyuki Kawashima, Keio University, Japan
Kathryn Mohror, LLNL, USA
Diana Moise, HPE, Switzerland
Hiroki Ohtsuji, Fujitsu Ltd, Japan
Dana Petcu, West University of Timisoara, Romania
Michael Schoettner, Duesseldorf University, Germany
François Tessier, Inria, France
Weikuan Yu, Florida State University, USA

For additional details, see web site: https://sites.google.com/view/essa-2022/