Profiling with TAU. Le Yan. 6/6/2012 LONI Parallel Programming Workshop
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1 Profiling with TAU Le Yan 6/6/2012 LONI Parallel Programming Workshop
2 Three Steps of Code Development Debugging Make sure the code runs and yields correct results Profiling Analyze the code to identify performance bottlenecks Optimization Make the code run faster and/or consume less resources 6/6/2012 LONI Parallel Programming Workshop
3 Profiling Gather performance statistics during execution Inclusive and exclusive time Number of calls Reflects performance behavior of program entities Routines Loops Implemented through Sampling: OS interrupts or hardware counters Instrumentation: measurement functions 6/6/2012 LONI Parallel Programming Workshop
4 What is TAU Tuning and Analysis Utilities Developed at University of Oregon Scalable and flexible performance analysis toolkit Performance profiling and tracing utilities Performance data management and data mining Automatic instrumentation through Program Database Toolkit(PDT) Provides an instrumentation API 6/6/2012 LONI Parallel Programming Workshop
5 Availability on LONI and LSU HPC resrouces Tezpur and LONI Linux clusters +tau intel-11.1-mvapich-1.1 Philip +tau intel-11.1-mpich-1.2.7p1 6/6/2012 LONI Parallel Programming Workshop
6 How to Use Add the softenv key to.soft and resoft Compile your code with TAU compiler scripts tau_f90.sh for Fortran, tau_cc.sh for C and tau_cxx.sh for C++ The code is instrumented automatically Execute the generated executable as normal Profile data files: profile.x.x.x Analyze/visualize the profiling results with paraprof 6/6/2012 LONI Parallel Programming Workshop
7 Paraprof Java-based analysis and visualization tool for performance data pprof is for text based profile display Can work with profile data generated by other profiling tools, e.g. MPIP Options -f <file type>: specify type of performance data -m: perform runtime monitoring --pack <file>: pack profile data into one file 6/6/2012 LONI Parallel Programming Workshop
8 Main Data Window 6/6/2012 LONI Parallel Programming Workshop
9 Main Data Window: Unstacked Bars 6/6/2012 LONI Parallel Programming Workshop
10 Function Data Window: Histogram 6/6/2012 LONI Parallel Programming Workshop
11 Function Data Window: Bar Chart 6/6/2012 LONI Parallel Programming Workshop
12 3D View 6/6/2012 LONI Parallel Programming Workshop
13 Individual Thread View 6/6/2012 LONI Parallel Programming Workshop
14 Comparing Multiple Threads 6/6/2012 LONI Parallel Programming Workshop
15 Callpath Profile 6/6/2012 LONI Parallel Programming Workshop
16 Options for TAU Compiler Scripts Display available options with tau_xxx.sh help Options -optverbose: display verbose debugging information -optkeepfiles: keep intermediate files (instrumented source files) -optdetectmemory: trace malloc/free calls 6/6/2012 LONI Parallel Programming Workshop
17 Keeping Intermediate Files (1) 6/6/2012 LONI Parallel Programming Workshop
18 Keeping Intermediate Files (2) 6/6/2012 LONI Parallel Programming Workshop
19 Notes for Fortran Programmers Use include mpif.h instead of use mpi If free format is used with.f files, use the - optpdtf95opts=-r free option If more than one module files are used, use the -optpdtgnufortranparser option If C preprocessor directive are used, use the - optpreprocess option 6/6/2012 LONI Parallel Programming Workshop
20 TAU Environment Variables TAU provides many environment variables TAU_MAKEFILE TAU_THROTTLE TAU_OPTIONS PROFILEDIR TRACEDIR 6/6/2012 LONI Parallel Programming Workshop
21 TAU_MAKEFILE Different TAU makefiles corresponds to different configurations The default is icpc-mpi-pdt-openmp-opari There are quite a few others [lyan1@philip1 lib]$ ls Makefile.tau-intel-11.1-mpich-1.2.7p1-* Makefile.tau-intel-11.1-mpich-1.2.7p1-callpath-icpc-mpi-compensate-pdt-openmp Makefile.tau-intel-11.1-mpich-1.2.7p1-callpath-icpc-mpi-pdt-openmp Makefile.tau-intel-11.1-mpich-1.2.7p1-depthlimit-icpc-mpi-pdt-openmp Makefile.tau-intel-11.1-mpich-1.2.7p1-icpc-mpi-compensate-pdt-openmp Makefile.tau-intel-11.1-mpich-1.2.7p1-icpc-mpi-pdt-openmp Makefile.tau-intel-11.1-mpich-1.2.7p1-icpc-mpi-pdt-openmp-opari Makefile.tau-intel-11.1-mpich-1.2.7p1-icpc-mpi-pdt-openmp-trace Makefile.tau-intel-11.1-mpich-1.2.7p1-icpc-pdt-openmp Makefile.tau-intel-11.1-mpich-1.2.7p1-icpc-pdt-openmp-opari Makefile.tau-intel-11.1-mpich-1.2.7p1-icpc-pthread-pdt-openmp Makefile.tau-intel-11.1-mpich-1.2.7p1-param-icpc-mpi-pdt-openmp 6/6/2012 LONI Parallel Programming Workshop
22 TAU_CALLPATH Enables callpath profiling Recored callpath for each event Need to set TAU_MAKEFILE to one of those with callpath in their names TAU_CALLPATH_DEPTH Level to which callpath is recorded Default is 2 Overhead increases with the depth of callpath 6/6/2012 LONI Parallel Programming Workshop
23 Other Environment Variables TAU_THROTTLE Enable event throttling Purpose: reduce profiling overhead If a function executes more than $TAU_THROTTLE_NUMCALLS times and has an inclusive time per call of less than TAU_THROTTLE_PERCALLS microseconds, then profiling of that function will be disabled after the threshold is reached PROFILEDIR Controls where the profile files are written to (the default is current directory) TAU_OPTIONS Override the default instrumentation options 6/6/2012 LONI Parallel Programming Workshop
24 Selective Profiling (1) Instruct TAU Which part(s) of the code to profile How they are profiled -opttauselectfile=<file> The select profiling file specifies files, functions and sections that will be included or excluded in the profiling Wildcards can be used 6/6/2012 LONI Parallel Programming Workshop
25 Selective Profiling (2) 6/6/2012 LONI Parallel Programming Workshop
26 Tracing (1) Recording of information about events during execution Entering/exiting code region (function, loop, block ) Thread/process interactions (send/receive message ) Save information in event record Timestamp CPU identifier Event type and event-specific information Event trace is a time-sequenced stream of event records 6/6/2012 LONI Parallel Programming Workshop
27 Tracing (2) Pick the correct makefile using TAU_MAKEFILE (those with trace in the file name ) Compile with TAU compiler scripts and run the program Use external utilities to analyze the trace files JUMPSHOT VAMPIR Be careful: trace files can grow very big! 6/6/2012 LONI Parallel Programming Workshop
28 Not Covered Database management Phase based profiles Track memory and I/O Instrumentation API 6/6/2012 LONI Parallel Programming Workshop
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