<span class="var-sub_title">Analyzing Parallel I/O</span> SC18 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Analyzing Parallel I/O

Authors: Philip Carns (Argonne National Laboratory), Julian Kunkel (University of Reading)

Abstract: Parallel application I/O performance often fails to meet user expectations. In addition, subtle changes in access patterns may lead to significant changes in performance due to complex interactions between hardware and software. These challenges call for sophisticated tools to capture, analyze, understand, and tune application I/O.

In this BoF, we will highlight recent advances in monitoring and characterization tools to help address this problem. We will also encourage community discussion to compare best practices, identify gaps in measurement and analysis, and find ways to translate parallel I/O analysis into actionable outcomes for users, facility operators, and researchers.

Long Description: I/O behavior is increasingly complex and notoriously difficult to understand and tune. A variety of tools and techniques have been developed to help address this problem by instrumenting I/O behavior at the application, service, or hardware level. Some of them are designed to assist end users while others are oriented towards administrators. It is important to select the right tool (or combination of tools with correlated data) according to your use case.

The objectives of this BoF are to 1) highlight recent advances in tools and techniques for monitoring I/O activity in data centers, 2) to discuss experiences and limitations of current approaches, 3) to discuss and derive a roadmap for future I/O tools with the goal to capture, assess, predict and optimize I/O.

Guest speakers will be invited to share new advances and state of the practice and then participate in a community discussion. Past speakers at this event have included I/O experts from a wide variety of organizations, including the German Climate Computing Center (DKRZ), Argonne National Laboratory ANL), University of Illinois at Urbana – Champaign (UIUC), the Julich Supercomputing Center (JSC), the National Energy Research Scientific Computing Center (NERSC), Technische Universität Dresden (TU Dresden), the University of Hamburg, the Qatar Computing Research Institute (QCRI), and Oak Ridge National Laboratory (ORNL).

The technical presentations target end-users, I/O software developers, and facility administrators. We will collect surveys to assess the state of the field and post the results online along with all presentation materials.

URL: https://hps.vi4io.org/events/2018/bof-analyzing

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