The Tau Parallel Performance System
International Journal of High Performance Computing Applications
Scalable massively parallel I/O to task-local files
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
The Scalasca performance toolset architecture
Concurrency and Computation: Practice & Experience - Scalable Tools for High-End Computing
Introducing the open trace format (OTF)
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
Enabling event tracing at leadership-class scale through I/O forwarding middleware
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Runtime message uniquification for accurate communication analysis on incomplete MPI event traces
Proceedings of the 20th European MPI Users' Group Meeting
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One of the most urgent issues in event tracing is the number of resulting event trace files pushing against the limits of today's parallel file systems. To address this issue, we present strategies for real-time event reduction, which guarantee that data of an event tracing measurement fits into a single memory buffer. Therefore, they are a key step towards a complete in-memory event tracing workflow enabling event trace analysis on very high scales without the limitations of today's parallel file systems. In addition, we define criteria to compare different reduction strategies and evaluate their benefits. Furthermore, we show how traditional memory buffering can be enhanced to realize these strategies with minimal overhead.