Workshop on Storage Challenges in the UK

The Special Interest Group of High-Performance I/O in the UK (SIG IO UK – Join our mailing list) is organising this workshop to bring together users of data-intensive workloads, storage vendors, and system and middleware developers. During the workshop, the participants should be able to identify common challenges, establish strategies for research and funding, and also the development of products.

The workshop series generally covers all aspects of data access and management, including I/O workflow handling, parallel file systems, middleware, tuning, performance monitoring, novel interfaces, storage technology, and data centre perspectives. The workshop is primarily organised as a series of talks and group discussion slots.

This years' workshop focuses on exchanging information about challenges and the ongoing efforts to overcome them, aiming to bring forward RD&E and the use of storage systems (in the UK). Users present their challenges dealing with I/O and ongoing RD&E to overcome them. Vendor talks focus on technical solutions for specific challenges accompanied by use cases demonstrating the benefit.

Registration deadline February 20th, 2020
Date Thursday 23rd, April, 2020
Venue Virtual meeting using BlackBoard Collaborate
Contact Dr. Julian Kunkel

This workshop is sponsored by DDN and powered by the Virtual Institute for I/O and ESiWACE 1).

The SIG-IO-UK is a loose consortium of people and institutions that share a common interest in High-Performance I/O. SIG exchanges information revolving around the topic covering, but not limited to, I/O challenges, RD&E, and solutions on the market. We develop whitepapers raising awareness in the importance of I/O, describing state of the art in the UK, aim to derive research and funding opportunities but also aid product development.

SIG IO UK – Join our mailing list

The workshop will be held as a virtual event.

The following is the tentative agenda structure

  • 10:00 Welcome – Julian Kunkel
  • 10:05 Toward Next Generation Interfaces for Exploiting Workflows – Julian Kunkel
  • 10:30 Persistent memory for I/O – Adrian Jackson
  • 11:00 Sage2: Addressing Exascale Storage Challenges – Sai Narasimhamurthy
  • 11:30 Breaking up the HPC silo: toward high-performance interoperability in storage systems – Jean-Thomas Acquaviva
  • 12:00 The Benefits and Challenges of Elastic In Situ Analysis and Visualization – Matthieu Dorier
  • 12:30 Virtual lunch break
  • 13:00 tbd – Frederik Ferner
  • 13:30 ECMWF’s Exascale IO challenges — From inside the HPC to a whole Data archive migration – Tiago Quintino
  • 14:00 Semantic storage of climate data on object store – Neil Massey
  • 14:20 Exploiting Heterogeneous Resource Utilization for Scientific Workflows – Erdem Yilmaz
  • 14:40 Discussion
  • 15:00 Virtual coffee break
  • 15:30 tbd – Jay Lofstead
  • 16:00 Application IO analysis with Lustre Monitoring using LASSi for ARCHER – Karthee Sivalingam
  • 16:30 Classifying Temporal Characteristics of Job I/O Patterns Using Machine Learning Techniques – Eugen Betke
  • 17:00 Discussion: Supporting the I/O needs for applications (specifically in the UK)
  • 17:30 Farewell

Send an email to Julian Kunkel for registration. Check that you get a confirmation. The official deadline for registration is Feb. 20th, but you may check if seats are still available after this date.

Speakers must check the University of Reading - External Speaker Code of Conduct and comply with these rules.

Julian Kunkel is a Lecturer at the Department of Computer Science at the University of Reading. He manages several research projects revolving around High-Performance Computing and particularly high-performance storage and is member of the Advanced Computing for Environmental Science (ACES) research group. Besides his main goal to provide efficient and performance-portable I/O, his HPC-related interests are: data reduction techniques, performance analysis of parallel applications and parallel I/O, management of cluster systems, cost-efficiency considerations, and software engineering of scientific software.

ESiWACE2 is funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 823988.