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Hardware CountersHardware performance counters available on most modernmicroprocessors can provide insight into:1. Whole program timing2. Cache behaviors3. Branch behaviors4. Memory and resource access patterns5. Pipeline stalls6. Floating point efficiency7. Instructions per cycleHardware counter information can be obtained with:1. Subroutine or basic block resolution2. Process or thread attribution13 th DOE ACTS Workshop: Scalable and Robust Libraruesabd Tiiks fior High-End ComputingTAUhttp://tau.uoregon.edu38
What’s PAPI?•Open Source software from U. Tennessee, Knoxville•http://icl.cs.utk.edu/papi•Middleware to provide a consistent programming interface for theperformance counter hardware found in most major micro-processors.•Countable events are defined in two ways:– Platform-neutral preset events– Platform-dependent native events•Presets can be derived from multiple native events•All events are referenced by name and collected in EventSets13 th DOE ACTS Workshop: Scalable and Robust Libraruesabd Tiiks fior High-End ComputingTAUhttp://tau.uoregon.edu39
Page 1: TAU13 th DOE ACTS Workshop: Scalabl
Page 4 and 5: TAU Performance System ®• Integr
Page 6 and 7: TAU Performance System Architecture
Page 8 and 9: Program Database Toolkit (PDT)Appli
Page 10 and 11: Using TAU: A brief Introduction•
Page 12 and 13: ParaProf Profile Analysis Framework
Page 14 and 15: Parallel Profile Visualization: Par
Page 16 and 17: ParaProf: Scatter Plot13 th DOE ACT
Page 18 and 19: Jumpshot [ANL]: Trace Visualization
Page 20 and 21: Inclusive and Exclusive Profiles•
Page 22 and 23: Atomic Events, Context EventsAtomic
Page 24 and 25: Runtime Environment Variables in TA
Page 26 and 27: Memory Leaks in MPI13 th DOE ACTS W
Page 28 and 29: Generating a flat profile with MPI%
Page 30 and 31: Compile-Time Environment Variables
Page 32 and 33: Usage Scenarios: Loop Level Instrum
Page 34 and 35: Usage Scenarios: Compiler-based Ins
Page 36 and 37: Usage Scenarios: Calculate mflops i
Page 40 and 41: PAPI Utilities: papi_avail• $ uti
Page 42 and 43: PAPI Utilities: papi_avail• [CONT
Page 44 and 45: PAPI Utilities: papi_native_availUN
Page 46 and 47: PAPI Utilities: papi_event_chooser$
Page 48 and 49: PAPI Utilities: papi_event_chooser$
Page 50 and 51: Derived Metrics in ParaProf13 th DO
Page 52 and 53: Mflops Sorted by Exclusive Timelowm
Page 54 and 55: • Generates program callgraphCall
Page 56 and 57: Tracing MeasurementProcess A:void m
Page 58 and 59: Generate a Trace File% module load
Page 60 and 61: Three Instrumentation Techniques fo
Page 62 and 63: Issues: Linker based substitution
Page 64 and 65: 13 th DOE ACTS Workshop: Scalable a
Page 66 and 67: HDF5 Library Wrapping[sameer@zorak]
Page 68 and 69: Preloading a wrapper library•Prel
Page 70 and 71: 13 th DOE ACTS Workshop: Scalable a
Page 72 and 73: Usage Scenarios: Evaluate Scalabili
Page 74 and 75: Usage Scenarios: Evaluate Scalabili
Page 76 and 77: Performance Regression Testing13 th
Page 78 and 79: Communication Matrix Display• Goa
Page 80 and 81: Communication Matrix13 th DOE ACTS
Page 82 and 83: Measuring Performance of PGI GPGPU
Page 84 and 85: Scalable Visualization: ParaProf (1
Page 86 and 87: ParaProf (1m cores * )13 th DOE ACT
Page 88 and 89:
TAU Integration with IDEs• High p
Page 90 and 91:
Choosing PAPI Counters with TAU in
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• U.S. Department of Energy- Offi
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