An LLVM Instrumentation Plug-in for Score-P

Conference · Wed Nov 01 04:00:00 EDT 2017

DOI:https://doi.org/10.1145/3148173.3148187· OSTI ID:1412042

Tschüter, Ronny ^[1]; Ziegenbalg, Johannes ^[1]; Wesarg, Bert ^[1]; Weber, Matthias ^[1]; Herold, Christian ^[1]; Döbel, Sebastian ^[1]; Brendel, Ronny ^[2]

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1. Technische Universität Dresden
2. ORNL

Reducing application runtime, scaling parallel applications to higher numbers of processes/threads, and porting applications to new hardware architectures are tasks necessary in the software development process. Therefore, developers have to investigate and understand application runtime behavior. Tools such as monitoring infrastructures that capture performance relevant data during application execution assist in this task. The measured data forms the basis for identifying bottlenecks and optimizing the code.Monitoring infrastructures need mechanisms to record application activities in order to conduct measurements. Automatic instrumentation of the source code is the preferred method in most application scenarios. We introduce a plug-in for the LLVM infrastructure that enables automatic source code instrumentation at compile-time. In contrast to available instrumentation mechanisms in LLVM/Clang, our plug-in can selectively include/exclude individual application functions. This enables developers to fine-tune the measurement to the required level of detail while avoiding large runtime overheads due to excessive instrumentation.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1412042
• Country of Publication: United States
• Language: English