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- W611036307 abstract "Tools are essential for application developers and system support personnel during tasks such as performance optimization and debugging of massively parallel applications. An important class are event-based tools that analyze relevant events during the runtime of an application, e.g., function invocations or communication operations. We develop a parallel tools infrastructure that supports both the observation and analysis of application events at runtime. Some analyses—e.g., deadlock detection algorithms—require complex processing and apply to many types of frequently occurring events. For situations where the rate at which an application generates new events exceeds the processing rate of the analysis, we experience tool instability or even failures, e.g., memory exhaustion. Tool infrastructures must provide means to avoid or mitigate such situations. This paper explores two such techniques: first, a heuristic that selects events to receive and process next; second, a pause mechanism that temporarily suspends the execution of an application. An application study with applications from the SPEC MPI2007 benchmark suite and the NAS parallel benchmarks evaluates these techniques at up to (16{,}384) processes and illustrates how they avoid memory exhaustion problems that limited the applicability of a runtime correctness tool in the past." @default.
- W611036307 created "2016-06-24" @default.
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- W611036307 date "2014-03-17" @default.
- W611036307 modified "2023-10-16" @default.
- W611036307 title "Memory Usage Optimizations for Online Event Analysis" @default.
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- W611036307 doi "https://doi.org/10.1007/978-3-319-15976-8_8" @default.
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