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SC’01 Tutorial Nov. 7, 2001 TAU Performance System Framework  Tuning and Analysis Utilities  Performance system framework for scalable parallel and distributed.

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Presentation on theme: "SC’01 Tutorial Nov. 7, 2001 TAU Performance System Framework  Tuning and Analysis Utilities  Performance system framework for scalable parallel and distributed."— Presentation transcript:

1 SC’01 Tutorial Nov. 7, 2001 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 performance profiling/tracing facility  Open software approach

2 SC’01 Tutorial Nov. 7, 2001 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 memory memory Node VM space Context SMP Threads node memory  … … Interconnection Network Inter-node message communication * * physical view model view

3 SC’01 Tutorial Nov. 7, 2001 TAU Performance System Architecture

4 SC’01 Tutorial Nov. 7, 2001 TAU Instrumentation  Flexible instrumentation mechanisms at multiple levels  Source code  manual  automatic using Program Database Toolkit (PDT)  Object code  pre-instrumented libraries (e.g., MPI using PMPI)  statically linked  dynamically linked  fast breakpoints (compiler generated)  Executable code  dynamic instrumentation (pre-execution) using DynInstAPI

5 SC’01 Tutorial Nov. 7, 2001 TAU Instrumentation (continued)  Targets common measurement interface (TAU API)  Object-based design and implementation  Macro-based, using constructor/destructor techniques  Program units: function, classes, templates, blocks  Uniquely identify functions and templates  name and type signature (name registration)  static object creates performance entry  dynamic object receives static object pointer  runtime type identification for template instantiations  C and Fortran instrumentation variants  Instrumentation and measurement optimization

6 SC’01 Tutorial Nov. 7, 2001 Program Database Toolkit (PDT)  Program code analysis framework for developing source- based tools  High-level interface to source code information  Integrated toolkit for source code parsing, database creation, and database query  commercial grade front end parsers  portable IL analyzer, database format, and access API  open software approach for tool development  Target and integrate multiple source languages  Use in TAU to build automated performance instrumentation tools

7 SC’01 Tutorial Nov. 7, 2001 PDT Architecture and Tools C/C++ Fortran 77/90

8 SC’01 Tutorial Nov. 7, 2001 PDT Components  Language front end  Edison Design Group (EDG): C, C++, Java  Mutek Solutions Ltd.: F77, F90  creates an intermediate-language (IL) tree  IL Analyzer  processes the intermediate language (IL) tree  creates “program database” (PDB) formatted file  DUCTAPE (Bernd Mohr, ZAM, Germany)  C++ program Database Utilities and Conversion Tools APplication Environment  processes and merges PDB files  C++ library to access the PDB for PDT applications

9 SC’01 Tutorial Nov. 7, 2001 TAU Measurement  Performance information  High-resolution timer library (real-time / virtual clocks)  General software counter library (user-defined events)  Hardware performance counters  PCL (Performance Counter Library) (ZAM, Germany)  PAPI (Performance API) (UTK, Ptools Consortium)  consistent, portable API  Organization  Node, context, thread levels  Profile groups for collective events (runtime selective)  Performance data mapping between software levels

10 SC’01 Tutorial Nov. 7, 2001 TAU Measurement (continued)  Parallel profiling  Function-level, block-level, statement-level  Supports user-defined events  TAU parallel profile database  Function callstack  Hardware counts values (in replace of time)  Tracing  All profile-level events  Interprocess communication events  Timestamp synchronization  User-configurable measurement library (user controlled)

11 SC’01 Tutorial Nov. 7, 2001 TAU Measurement API  Initialization and runtime configuration  TAU_PROFILE_INIT(argc, argv); TAU_PROFILE_SET_NODE(myNode); TAU_PROFILE_SET_CONTEXT(myContext); TAU_PROFILE_EXIT(message);  Function and class methods  TAU_PROFILE(name, type, group);  Template  TAU_TYPE_STRING(variable, type); TAU_PROFILE(name, type, group); CT(variable);  User-defined timing  TAU_PROFILE_TIMER(timer, name, type, group); TAU_PROFILE_START(timer); TAU_PROFILE_STOP(timer);

12 SC’01 Tutorial Nov. 7, 2001 TAU Measurement API (continued)  User-defined events  TAU_REGISTER_EVENT(variable, event_name); TAU_EVENT(variable, value); TAU_PROFILE_STMT(statement);  Mapping  TAU_MAPPING(statement, key); TAU_MAPPING_OBJECT(funcIdVar); TAU_MAPPING_LINK(funcIdVar, key);  TAU_MAPPING_PROFILE (funcIdVar); TAU_MAPPING_PROFILE_TIMER(timer, funcIdVar); TAU_MAPPING_PROFILE_START(timer); TAU_MAPPING_PROFILE_STOP(timer);  Reporting  TAU_REPORT_STATISTICS(); TAU_REPORT_THREAD_STATISTICS();

13 SC’01 Tutorial Nov. 7, 2001 TAU Analysis  Profile analysis  Pprof  parallel profiler with text-based display  Racy  graphical interface to pprof (Tcl/Tk)  jRacy  Java implementation of Racy  Trace analysis and visualization  Trace merging and clock adjustment (if necessary)  Trace format conversion (ALOG, SDDF, Vampir)  Vampir (Pallas) trace visualization

14 SC’01 Tutorial Nov. 7, 2001 Pprof Command  pprof [-c|-b|-m|-t|-e|-i] [-r] [-s] [-n num] [-f file] [-l] [nodes]  -cSort according to number of calls  -bSort according to number of subroutines called  -mSort according to msecs (exclusive time total)  -tSort according to total msecs (inclusive time total)  -eSort according to exclusive time per call  -iSort according to inclusive time per call  -vSort according to standard deviation (exclusive usec)  -rReverse sorting order  -sPrint only summary profile information  -n numPrint only first number of functions  -f fileSpecify full path and filename without node ids  -l nodesList all functions and exit (prints only info about all contexts/threads of given node numbers)

15 SC’01 Tutorial Nov. 7, 2001 Pprof Output (NAS Parallel Benchmark – LU)  Intel Quad PIII Xeon, RedHat, PGI F90  F90 + MPICH  Profile for: Node Context Thread  Application events and MPI events

16 SC’01 Tutorial Nov. 7, 2001 jRacy (NAS Parallel Benchmark – LU) n: node c: context t: thread Global profiles Individual profile Routine profile across all nodes

17 SC’01 Tutorial Nov. 7, 2001 TAU and PAPI (NAS Parallel Benchmark – LU )  Floating point operations  Replaces execution time  Only requires relinking to different measurement library

18 SC’01 Tutorial Nov. 7, 2001 Semantic Performance Mapping  Associate performance measurements with high-level semantic abstractions  Need mapping support in the performance measurement system to assign data correctly

19 SC’01 Tutorial Nov. 7, 2001 Semantic Entities/Attributes/Associations (SEAA)  New dynamic mapping scheme (S. Shende, Ph.D. thesis)  Contrast with ParaMap (Miller and Irvin)  Entities defined at any level of abstraction  Attribute entity with semantic information  Entity-to-entity associations  Two association types (implemented in TAU API)  Embedded – extends data structure of associated object to store performance measurement entity  External – creates an external look-up table using address of object as the key to locate performance measurement entity

20 SC’01 Tutorial Nov. 7, 2001 TAU Performance System Status  Computing platforms  IBM SP, SGI Origin 2K/3K, Intel Teraflop, Cray T3E, Compaq SC, HP, Sun, Windows, IA-32, IA-64, Linux, …  Programming languages  C, C++, Fortran 77/90, HPF, Java, OpenMP  Communication libraries  MPI, PVM, Nexus, Tulip, ACLMPL, MPIJava  Thread libraries  pthreads, Java,Windows, Tulip, SMARTS, OpenMP  Compilers  KAI, PGI, GNU, Fujitsu, Sun, Microsoft, SGI, Cray, IBM, Compaq

21 SC’01 Tutorial Nov. 7, 2001 TAU Performance System Status (continued)  Application libraries  Blitz++, A++/P++, ACLVIS, PAWS, SAMRAI, Overture  Application frameworks  POOMA, POOMA-2, MC++, Conejo, Uintah, UPS, …  Performance Projects  Aurora / SCALEA: ACPC, University of Vienna  TAU full distribution (Version 2.10, web download)  Measurement library and profile analysis tools  Automatic software installation  Performance analysis examples  Extensive TAU User’s Guide

22 SC’01 Tutorial Nov. 7, 2001 PDT Status  Program Database Toolkit (Version 2.0, web download)  EDG C++ front end (Version 2.45.2)  Mutek Fortran 90 front end (Version 2.4.1)  C++ and Fortran 90 IL Analyzer  DUCTAPE library  Standard C++ system header files (KCC Version 4.0f)  PDT-constructed tools  Automatic TAU performance instrumentation  C, C++, Fortran 77, and Fortran 90  Program analysis support for SILOON and CHASM

23 SC’01 Tutorial Nov. 7, 2001 Usage Scenarios  Message passing computation  Multi-threaded computation  (Abstract) thread-based performance measurement  Multi-threaded parallel execution and asynchronous RTS  Mixed-mode parallel computation  Integrate messaging events with multi-threading events  OpenMP + MPI, Java + MPI, …  Object-oriented programming and C++  Performance measurement of template-derived code  Object-based performance analysis  Hierarchical parallel software frameworks  Multi-level software framework and work scheduling

24 SC’01 Tutorial Nov. 7, 2001 Evolution of the TAU Performance System  TAU’s existing strength lies in its robust support for performance instrumentation and measurement  TAU will evolve to support new performance capabilities  Online performance data access via application-level API  Whole-system, integrative performance monitoring  Dynamic performance measurement control  Generalize performance mapping  Runtime performance analysis and visualization  Performance experimentation environment and database  Cross-experiment performance analysis  Three-year DOE MICS research and development grant

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