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Generating Proxy Components using PDT

Generating Proxy Components using PDT. Sameer Shende sameer@cs.uoregon.edu Department of Computer and Information Science NeuroInformatics Center University of Oregon. Outline. Overview of the TAU and PDT projects Proxy Component Auto-generation of proxies Applications

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Generating Proxy Components using PDT

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  1. Generating Proxy Components using PDT Sameer Shende sameer@cs.uoregon.edu Department of Computer and Information Science NeuroInformatics Center University of Oregon

  2. Outline • Overview of the TAU and PDT projects • Proxy Component • Auto-generation of proxies • Applications • Concluding remarks

  3. TAU Performance System Framework • 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 • Measurement and analysis abstraction • Integrated toolkit for performance instrumentation, measurement, analysis, and visualization • Portable, configurable performance profiling/tracing facility • Open software approach • University of Oregon, LANL, FZJ Germany • http://www.cs.uoregon.edu/research/paracomp/tau

  4. TAU Performance System Architecture Paraver EPILOG

  5. TAU’s Paraprof Profile Browser (ESMF Data)

  6. Callpath Profiling in TAU

  7. Component source/ Library C / C++ parser Fortran 77/90/95 parser Proxy Component tau_pg Application component glue IL IL SILOON C / C++ IL analyzer Fortran 77/90/95 IL analyzer C++ / F90 interoperability CHASM Program Database Files Automatic source instrumentation TAU_instr DUCTAPE Program Database Toolkit

  8. Program Database Toolkit (PDT) • Program code analysis framework for developing source-based tools for C99, C++ and F90 • High-level interface to source code information • Widely portable: • IBM (AIX, Linux Power4), SGI, Compaq, HP, Sun, Linux clusters,Windows, Apple, Hitachi, Cray X1,T3E, RedStorm... • Integrated toolkit for source code parsing, database creation, and database query • commercial grade front end parsers • EDG for C99/C++ • Mutek Solutions for F90 • Cleanscape Flint Parser for F77/F90/F95 • Intel/KAI C++ headers for std. C++ library distributed with PDT • portable IL analyzer, database format, and access API • open software approach for tool development • Target and integrate multiple source languages • Used in TAU to build automated performance instrumentation tools • Used in CHASM, XMLGEN, Component method signature extraction,…

  9. CCA Performance Observation Component • Design measurement port and measurement interfaces • Timer • start/stop • set name/type/group • Control • enable/disable groups • Query • get timer names • metrics, counters, dump to disk • Event • user-defined events

  10. CCA C++ (CCAFFEINE) Performance Interface namespace performance { namespace ccaports { class Measurement: public virtual classic::gov::cca::Port { public: virtual ~ Measurement (){} /* Create a Timer interface */ virtual performance::Timer* createTimer(void) = 0; virtual performance::Timer* createTimer(string name) = 0; virtual performance::Timer* createTimer(string name, string type) = 0; virtual performance::Timer* createTimer(string name, string type, string group) = 0; /* Create a Query interface */ virtual performance::Query* createQuery(void) = 0; /* Create a user-defined Event interface */ virtual performance::Event* createEvent(void) = 0; virtual performance::Event* createEvent(string name) = 0; /* Create a Control interface for selectively enabling and disabling * the instrumentation based on groups */ virtual performance::Control* createControl(void) = 0; }; } } Measurement port Measurement interfaces

  11. CCA Timer Interface Declaration • namespace performance { • class Timer { public: virtual ~Timer() {} • /* Implement methods in a derived class to provide functionality */ • /* Start and stop the Timer */ virtual void start(void) = 0; • virtual void stop(void) = 0; /* Set name and type for Timer */ • virtual void setName(string name) = 0; • virtual string getName(void) = 0; virtual void setType(string name) = 0; virtual string getType(void) = 0; • /* Set the group name and group type associated with the Timer */ virtual void setGroupName(string name) = 0; virtual string getGroupName(void) = 0; • virtual void setGroupId(unsigned long group ) = 0; virtual unsigned long getGroupId(void) = 0; }; • } Timer interface methods

  12. Use of Observation Component in CCA Example #include "ports/Measurement_CCA.h"... double MonteCarloIntegrator::integrate(double lowBound, double upBound, int count) { classic::gov::cca::Port * port;double sum = 0.0; // Get Measurement port port = frameworkServices->getPort ("MeasurementPort"); if (port) measurement_m = dynamic_cast < performance::ccaports::Measurement * >(port); if (measurement_m == 0){ cerr << "Connected to something other than a Measurement port"; return -1; } static performance::Timer* t = measurement_m->createTimer( string("IntegrateTimer")); t->start(); for (int i = 0; i < count; i++) { double x = random_m->getRandomNumber (); sum = sum + function_m->evaluate (x); } t->stop(); }

  13. Measurement Port Implementation • Use of Measurement port (i.e., instrumentation) • independent of choice of measurement tool • independent of choice of measurement type • TAU performance observability component • Implements the Measurement port • Implements Timer, Control, Query, Control • Port can be registered with the CCAFEINE framework • Components instrument to generic Measurement port • Runtime selection of TAU component during execution • TauMeasurement_CCA port implementation uses a specific TAU library for choice of measurement type

  14. application component application component performance component … other API TAU API TAU API Alternative implementationsof performance component runtime TAU performance data What’s Going On Here? Two instrumentationpaths using TAU API Two query and controlpaths using TAU API

  15. Go IntegratorPort Driver IntegratorPortProvides IntegratorPortUses IntegratorPort MeasurementPort MeasurementPort IntegratorProxy Component Performance MidpointIntegrator Proxy Component • Interpose a proxy component for each port • Inside the proxy, track caller/callee invocations, timings • Automate the process of proxy component creation • Using PDT for static analysis of components

  16. TAU’s Proxy Generator for Classic C++ Interface • Proxy generator arguments: • -p <port name> -t <type> -c <component> -d <PDB file> -o <output file> -f <selective instrumentation file> -x <Component tag> e.g., % tau_pg -c integrators::ccaports::Integrator -t integrators.ccaports.Integrator -p IntegratorPort -d ParallelIntegrator_CCA.pdb -o Proxy.cc -h ports/Integrator_CCA.h -f select.dat –x ParallelInt • Creating PDB file: % cxxparse <file.cpp> -I<dir> -D<flags> creates file.pdb. % pdbmerge -o merged.pdb file1.pdb file2.pdb …

  17. Selective Instrumentation • Exclude or include list of routines % tau_pg … -f select.dat % cat select.dat # Selective instrumentation: Specify an exclude/include list of routines/files. BEGIN_EXCLUDE_LIST void quicksort(int *, int, int) void sort_5elements(int *) void interchange(int *, int *) END_EXCLUDE_LIST # or use BEGIN_INCLUDE_LIST END_INCLUDE_LIST to bracket the event names # Instruments routines in Main.cpp, Foo?.c and *.C files only # Use BEGIN_[FILE]_INCLUDE_LIST with END_[FILE]_INCLUDE_LIST

  18. Flame Reaction-Diffusion Demonstration CCAFFEINE

  19. CFRFS Profiles using Proxy Generator NODE 0;CONTEXT 0;THREAD 0: --------------------------------------------------------------------------------------- %Time Exclusive Inclusive #Call #Subrs Inclusive Name msec total msec usec/call --------------------------------------------------------------------------------------- 100.0 3,374 1:40.763 1 7 100763742 int main(int, char **) 95.8 1,177 1:36.525 1 391 96525455 driver_proxy::go() 48.6 9,023 48,947 15 9640 3263162 rk2_proxy::Advance() 44.8 43,914 45,151 7 138 6450244 ee_proxy::Regrid() 34.3 3,368 34,559 594 7129 58180 flux_proxy::compute() 21.7 21,862 21,862 1188 0 18403 sc_proxy::compute() 9.0 9,089 9,089 1188 0 7651 efm_proxy::compute() 3.7 2,216 3,707 210 11250 17655 grace_proxy::GC_Synch() 1.2 841 1,225 3 1496 408607 grace_proxy::GC_regrid_above_threshold() 1.0 980 980 123 0 7970 icc_proxy::restrict() 0.9 943 943 4460 0 212 icc_proxy::prolong() 0.9 863 863 1 39 863722 MPI_Init() 0.8 772 772 16764 0 46 TAU_GET_FUNCTION_VALUES() 0.6 613 614 869 869 707 MPI_Isend() 0.4 432 436 15 24 29093 c_proxy::compute() 0.4 288 409 30 120 13665 stats_proxy::compute() 0.4 393 393 954 0 413 MPI_Waitsome() 0.2 217 217 6 18 36282 MPI_Comm_dup() 0.2 182 182 215 0 849 MPI_Allreduce() 0.1 3 126 15 75 8402 rk2_proxy::GetStableTimestep() 0.1 101 120 15 45 8062 compute void ( VectorFieldVariable *) 0.1 62 62 533 0 118 bc_proxy::compute() 0.0 17 17 3 0 5729 MPI_Barrier()

  20. Performance Modeling • Use MasterMind Component [IPDPS’04] with Measurement Component to track each argument invocation • Proxy for Mastermind component currently tracks all methods. • Develop performance models based on measurements • Specify performance models to a model evaluator library (being developed at UO/Sandia [Nick Trebon, J. Ray]) for evaluating performance models of component ensembles • Specifying performance models research • Performance Database ties in historical performance data

  21. Performanceanalysis programs Raw performance data Other tools Performance data description Performance analysis and query toolkit PerfDML translators ORDB PostgreSQL . . . PerfDB TAU Performance Database Framework • profile data only • XML representation • project / experiment / trial

  22. Proxy Generator for other Applications • PDT based proxy component for: • QoS tracking [Boyana, ANL] • Debugging Port Monitor (tracks arguments) • SCIRun2 Perfume components [Venkat, U. Utah] • Exploring Babel for auto-generation of proxies: • Direct SIDL to proxy code generation • Generating client component interface in C++, using PDT for generating proxies

  23. Concluding Remarks • Complex component systems pose challenging performance analysis problems that require robust methodologies and tools • Automating Instrumentation of Component Software • Performance Measurement • Performance Prediction • Debugging • Performance-aware (QoS) intelligent components • Performance engineered components • Performance knowledge, observation, query and control

  24. Support Acknowledgement • TAU and PDT support: • Department of Energy (DOE) • DOE MICS contracts • DOE ASCI Level 3 (LANL, LLNL) • U. of Utah DOE ASCI Level 1 subcontract • NSF National Young Investigator (NYI) award

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