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Explore how I/O behavior serves as a critical source of system insight rather than merely a performance bottleneck in this 53-minute conference talk by Prof. Dr. Sarah Neuwirth from Johannes Gutenberg University Mainz. Examine the evolving complexity of I/O patterns in modern high-performance computing workflows and discover how heterogeneous, data-intensive workloads are reshaping system efficiency, reliability, and scalability requirements. Learn about the challenges of achieving comprehensive observability across deeply layered I/O stacks and understand the importance of trace-driven methodologies for ensuring reproducibility and explainability in HPC environments. Investigate how I/O factors influence performance variability, system design trade-offs, and future benchmarking practices within the context of shifting architectural paradigms, emerging consistency models, and the increasing role of adaptive, multi-tiered storage systems. Gain a system-aware and forward-looking perspective on I/O's central role in shaping the next generation of sustainable and transparent HPC infrastructures, with insights into how rethinking I/O analysis opens new pathways for optimization and design in high-performance computing systems.
Syllabus
From Data Traces to System Insight—Redefining I/O Understanding in HPC
Taught by
NHR@FAU