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2022 IEEE Nordic Circuits and Systems Conference (NorCAS), 2022, p.1-6
2022
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Autor(en) / Beteiligte
Titel
GLS Tracing: Gem5-based Low-intrusive Software Tracing
Ist Teil von
  • 2022 IEEE Nordic Circuits and Systems Conference (NorCAS), 2022, p.1-6
Ort / Verlag
IEEE
Erscheinungsjahr
2022
Quelle
IEEE Xplore
Beschreibungen/Notizen
  • Profiling and tracing mechanisms are vital to identify performance bottlenecks for the optimization of modern multi-threaded applications [1]. While profiling generates a summary of averaged performance metrics, tracing provides a full record (trace) of timestamped events [1]. Hence, tracing is mandatory for detailed timing analysis but is usually difficult to implement. First, the generated traces can get large which usually results in a high overhead to record them. Second, lossless traces (no events get lost) with precise timestamps for correct event ordering across large multi-core systems are challenges for common tracing mechanisms. As a complementary approach to existing tracing mechanisms, we introduce GLS Tracing (Gem5-based Low-intrusive Software Tracing), which overcomes the mentioned challenges. GLS Tracing combines the flexibility and fine granular resolution of software tracepoints (TP) with the low-intrusive system analysis capabilities of the Gem5 simulator. Using new Gem5 pseudo-instructions (Trace Point Operation, TPOP), the time-consuming recording of a native TP in software tracing is offloaded to the Gem5 Full-System simulator, thus reducing the number of CPU cycles to be simulated for this tracing. This new tracing capability is integrated into the native Linux kernel software TP infrastructure TRACE_EVENT, resulting in an average overhead reduction of 93% per recorded TP (from on average 2300 clock cycles down to 160 clock cycles). In addition, a less flexible but almost non-intrusive TP is defined that adds only 5 to 10 cycles overhead per TP. This provides a lossless low-intrusive tracing solution for Gem5, which can be used in both user-space and kernel-space functions.
Sprache
Englisch
Identifikatoren
DOI: 10.1109/NorCAS57515.2022.9934111
Titel-ID: cdi_ieee_primary_9934111

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