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TAU Performance Tuning Tool

TAU Performance Tuning Tool. Sun Yongzhao. Introduction - What is TAU?. T uning and A nalysis U tilities Performance system framework for scalable parallel and distributed high-performance computing Targets a general complex system computation model nodes / contexts / threads

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TAU Performance Tuning Tool

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  1. TAU Performance Tuning Tool Sun Yongzhao

  2. Introduction - What is TAU? • Tuning and Analysis Utilities • Performance system framework for scalable parallel and distributed high-performance computing • Targets a general complex system computation model • nodes / contexts / threads • Multi-level: system / software / parallelism • Integrated toolkit for performance instrumentation, measurement, analysis, and visualization • Portable, configurable performance profiling/tracing facility • Open software approach • University of Oregon • http://www.cs.uoregon.edu/research/paracomp/tau

  3. Paraver EPILOG TAU Performance System Architecture

  4. General Complex System Computation Model • Node:physically distinct shared memory machine • Message passing node interconnection network • Context: distinct virtual memory space within node • Thread: execution threads (user/system) in context Interconnection Network Inter-node messagecommunication * * Node Node Node node memory memory memory SMP physicalview VM space … modelview … Context Threads

  5. Definitions – Profiling • Profiling • Recording of summary information during execution • inclusive, exclusive time, # calls, hardware statistics, … • Reflects performance behavior of program entities • functions, loops, basic blocks • user-defined “semantic” entities • Helps to expose performance bottlenecks and hotspots • Implemented through • sampling: periodic OS interrupts or hardware counter traps • instrumentation: direct insertion of measurement code

  6. Definitions – Tracing • Tracing • Recording of information about significant points (events) during program execution • Save information in event record • timestamp • CPU identifier, thread identifier • Event type and event-specific information • Event trace is a time-sequenced stream of event records • Can be used to reconstruct dynamic program behavior

  7. TAU Instrumentation Options • Manual instrumentation • TAU Profiling API • Automatic instrumentation approaches • PDT – Source-to-source translation • MPI - Wrapper interposition library • Opari – OpenMP directive rewriting

  8. Manual Instrumentation – Using TAU • Install TAU % configure ; % make install; • Instrument application • TAU Profiling API • Modify application makefile • include TAU’s stub makefile, modify variables • Execute application % mpirun –np <procs> a.out; • Analyze performance data • jracy, vampir, pprof, paraver …

  9. TAU Measurement • Performance information • High-resolution timer library (real-time / virtual clocks) • General software counter library(user-defined events) • Hardware performance counters

  10. TAU Measurement (continued) • Parallel profiling • Function-level, block-level, statement-level • Supports user-defined events • TAU parallel profile database • Hardware counts values • Tracing • All profile-level events • Inter-process communication events • Timestamp synchronization • User-configurable measurement library (user controlled)

  11. TAU Analysis • Profile analysis • pprof • parallel profiler with text-based display • racy • graphical interface to pprof • jracy • Java implementation of Racy • Trace analysis and visualization • Trace merging and clock adjustment (if necessary) • Trace format conversion

  12. jracy (NAS Parallel Benchmark – LU) Routine profile across all nodes Global profiles n: node c: context t: thread Individual profile

  13. jracy

  14. Using TAU In Boss • /ihepbatch/bes/sunyz/workarea/TestRelease-bak/TestRelease-00-00-03/run:boss.exe HelloWorldOptions.txt • /ihepbatch/bes/sunyz/workarea/TestRelease-bak/TestRelease-00-00-03/run:pprof • Reading Profile files in profile.* • NODE 0;CONTEXT 0;THREAD 0: • --------------------------------------------------------------------------------------- • %Time Exclusive Inclusive #Call #Subrs Inclusive Name • msec total msec usec/call • --------------------------------------------------------------------------------------- • 100.0 0.442 0.442 1 0 442 execute() int () • --------------------------------------------------------------------------------------- • USER EVENTS Profile :NODE 0, CONTEXT 0, THREAD 0 • --------------------------------------------------------------------------------------- • NumSamples MaxValue MinValue MeanValue Std. Dev. Event Name • --------------------------------------------------------------------------------------- • 1 2048 2048 2048 0 Memory allocated by arrays • 1 1 1 1 0 Number of Iterates • ---------------------------------------------------------------------------------------

  15. Using TAU In Boss • /ihepbatch/bes/sunyz/workarea/TestRelease/TestRelease-00-00-06/run:boss.exe jobOptions.G4Sim.txt • /ihepbatch/bes/sunyz/workarea/TestRelease/TestRelease-00-00-06/run:pprof • Reading Profile files in profile.* • NODE 0;CONTEXT 0;THREAD 0: • --------------------------------------------------------------------------------------- • %Time Exclusive Inclusive #Call #Subrs Inclusive Name • msec total msec usec/call • --------------------------------------------------------------------------------------- • 100.0 2:09.364 2:09.364 1 0 129364843 initializ() int () • 0.4 494 494 1 0 494272 execute() int () • --------------------------------------------------------------------------------------- • USER EVENTS Profile :NODE 0, CONTEXT 0, THREAD 0 • --------------------------------------------------------------------------------------- • NumSamples MaxValue MinValue MeanValue Std. Dev. Event Name • --------------------------------------------------------------------------------------- • 2 4096 2048 3072 1024 Memory allocated by arrays • 2 1 1 1 0 Number of Iterates • ---------------------------------------------------------------------------------------

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