HPS 2020 - IEEE International Workshop on High-Performance Storage

The recent years are seeing an accelerated evolution of high-end storage systems, libraries and services, due to several reasons:
Technology: The availability of an increasing number of persistent solid-state storage 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. It is not clear how solid-state storage is best used to alleviate the problem.
Application Evolution: Data analysis, including graph analytics and machine learning training, are becoming increasingly important both for scientific computing and for commercial computing. I/O is often a major bottleneck for such application, both in a cloud environment and in an HPC environment – especially when fast turnaround or integration of heavy computation with heavy analysis are required.
Virtualization and disaggregation: As virtualization and disaggregation become broadly used in cloud and HPC computing, the issues of virtualized storage and storage disaggregation have increasing importance.
The workshop aims to bring together researchers and developers working on high-end storage systems, libraries and applications in HPC and clusters, and users of such systems that are interested in these issues.
Call for Papers
HPS 20120 welcomes original submissions in a range of areas, including but not limited to:
High-end storage systems
Parallel and distributed high-storage organizations’
Structures and interfaces for leveraging persistent solid-state storage
High-performing I/O libraries and services
The synergy between different storage models (POSIX file system, object storage, key-value, row-oriented, and column-oriented databases)
I/O performance in high-end systems and applications
Benchmarks and performance tools for high-end I/O
Language and library support for data-centric computing
Storage virtualization and disaggregation
Active processing in storage technologies.
Ephemeral storage media and consistency optimizations
Data compression and other storage optimizations
Persistent storage as part of the memory hierarchy
Study cases of I/O services in support of various application domains (bio-informatics, scientific simulations, large observatories, and experimental facilities, etc.)