Tools for Analyzing Parallel I/O
Julian M. Kunkel, Eugen Betke, Matt Bryson, Philip Carns, Rosemary, Francis, Wolfgang Frings, Roland Laifer, Sandra Mendez

TL;DR
This paper reviews recent advances in tools for monitoring and analyzing parallel I/O performance, emphasizing best practices and practical approaches to improve understanding and tuning of complex hardware-software interactions.
Contribution
It provides an overview of monitoring tools, discusses measurement issues, and offers practical methods for translating analysis into actionable improvements.
Findings
Enhanced understanding of I/O performance factors
Identification of measurement challenges
Practical guidelines for I/O tuning
Abstract
Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications 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 paper, we highlight advances in monitoring tools to help address this problem. We also describe best practices, identify issues in measurement and analysis, and provide practical approaches to translate parallel I/O analysis into actionable outcomes for users, facility operators, and researchers.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Data Storage Technologies · Distributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques
