Language-Centric Performance Analysis of OpenMP Programs with Aftermath

Conference object, Part of book or chapter of book, Contribution for newspaper or weekly magazine English OPEN
Drebes, Andi ; Bréjon, Jean-Baptiste ; Pop, Antoniu ; Heydemann, Karine ; Cohen, Albert (2016)
  • Publisher: Springer
  • Related identifiers: doi: 10.1007/978-3-319-45550-1_17
  • Subject: Tracing | [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL] | [ INFO ] Computer Science [cs] | OpenMP | Performance Analysis

International audience; We present a new set of tools for the language-centric performance analysis and debugging of OpenMP programs that allows programmers to relate dynamic information from parallel execution to OpenMP constructs. Users can visualize execution traces, examine aggregate met-rics on parallel loops and tasks, such as load imbalance or synchronization overhead, and obtain detailed information on specific events, such as the partitioning of a loop's iteration space, its distribution to workers according to the scheduling policy and fine-grain synchronization. Our work is based on the Aftermath performance analysis tool and a ready-to-use, instrumented version of the LLVM/clang OpenMP run-time with negligible overhead for tracing. By analyzing the performance of the MG application of the NPB suite, we show that language-centric performance analysis in general and our tools in particular can help improve the performance of large-scale OpenMP applications significantly.
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