High Performance Computing in Aachen

Transcription

1 High Performance Computing in Aachen Christian Iwainsky Center for Computing and Communication RWTH Aachen University Produktivitätstools unter Linux Sep 16, RWTH Aachen University

2 Lecture session: Agenda 2 1. Introduction to productivity tools C. Iwainsky 2. Sun Studio Thread Analyzer C. Terboven 3. Intel Threading Tools 4. Marmot C. Iwainsky 5. Performance Analysis Basics 6. Sun Studio Performance Analyzer 7. Intel Tracing Tools 8. Scalasca 9. Vampir

3 Introduction to Sun Performance Analyzer 1. Overview of the Sun Performance Analyzer and Collector 2. How to use Sun Studio 12: Performance Analyzer 3

4 4 HPC unter Linux IV Overview of the Sun Performance Analyzer Facts about Sun Performance Analyzer collection of tools, i.e.: analyzer collect works with unmodified binaries must be dynamically linked to gain MPI information supports C, C++, Fortran and Java supports many parallel paradigms: OpenMP MPI POSIX and Solaris threads

5 Overview of the Sun Performance Analyzer Facts about Sun Performance Analyzer provides a very sophisticated GUI available for Sun Solaris Linux simple to use uses sampling and library wrapping to obtain information also called Sun Performance Analyzer and Collector 5 Summarily called analyzer from now on.

6 How to use To use the Analyzer follow the steps: 1. Execute your application: OpenMP: collect -o Mdata.er yourapplication MPI/MPI and OpenMP mpiexec -n N collect m on g Mdata.erg yourapplication 2. Analyze data: analyze MData 6

7 Thanks The next slides have been kindly provided by: Ruud van der Pas Senior Staff Technical Developer Technologies, Sun Microsystems 7

8 The Collect Command

9 The collect command % collect NOTE: SunOS-64-bit, 1 CPUs, i system amd is correctly patched and set up for use with the Performance tools. NOTE: The J2SE[tm] version found at java (picked by PATH) is supported by the Performance tools. usage: collect <args> target <target-args> Sun Analyzer 7.6 SunOS_i /05/03 -p <interval> specify clock-profiling clock profiling interval range on this system is from to millisec.; resolution is millisec. -h <ctr_def>...[,<ctr_n_def>] specify HW counter profiling for up to 4 HW counters see below for more details -s <threshold> specify synchronization wait tracing -r <option> specify thread analyzer experiment; see man page Only partial output shown -H {on off} specify heap Default tracing experiment: -m {on off} specify MPI tracing expt_name = test.1.er -j {on off path} specify clock Java profiling enabled, millisec. -J <java-args> specify descendant arguments processes to Java for will Java not profiling be followed -P <pid> use dbx to attach periodic and collect sampling, data 1 from secs. running process -t <duration> specify time over which to record data experiment size limit 2000 MB. -x specify leaving the target waiting for a debugger attach -n dry run -- don't run experiment target or collect archiving: performance on data -y <signal>[,r] specify data delayed descriptor: initialization "p:10007;s:1;l:2000;a:1;" and pause/resume signal When set, the target starts host: in paused `amd', mode; cpuver = 2500, ncpus = 1, if the optional r is provided, clock frequency it starts in 2393 resumed MHz. mode -F {on off all =<regex>} specify memory: following descendant 4096 processes bytes = 1022 MB. -A {on off copy} specify archiving of load-objects; default is on (. secs ) -S <interval> specify periodic sampling interval (. MB ) -L <size> specify experiment size limit -l <signal> specify signal for samples... <many lines of output removed>...

10 Some of the options on collect Option Description -o Experiment name -d Experiment directory -C Store a label in the experiment -p Clock profiling -m MPI tracing -g Experiment group -h Hardware Counter profiling -j Java profiling -F Follow descendant processes -A Archiving of load-objects -S Periodic sampling interval -L Experiment size limit -L Signal for samples -v Print expanded log of processing -R Show README file and exit -s Specify synchronization wait tracing -H Specify heap tracing -x Specify leaving the target waiting for debugger attach -y Specify delayed initialization and pause/resume signal

11 The Analyzer Command

12 % analyzer Start the Analyzer Information on experiment Select experiment Note: Can add/drop experiments from within the analyzer

13 Analyzer - Main Window Most expensive functions Note: GUI for collect is under the File menu

14 Experiment Statistics

15 Filter Data and Show/Hide Functions Select samples, threads, LPW and CPUs Select which load objects to be shown (or ( hidden

16 Set and save your Preferences metrics shown source info timeline Save your settings

17 Main window - More information Additional metrics selected

18 Source window Compiler Commentary most expensive statements

19 Callers-Callees window

20 Timeline overview Zoom in/out System View Select An Event Application View Dynamic Call Stack for Event

21 Timeline - More details Initial behaviour appears to be different

22 Timeline - Zoom in Very useful to analyze application behaviour in great detail

23 How to use How setup the environment here at the RWTH-Aachen? Load the module by typing: module load studio/12 And proceed as described! 23