High Performance Computing in Aachen
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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 Vampir Overview of Vampir Vampir 3
4 Overview of Vampir 4 Facts about Vampir Actually a tool collection Vampir Trace freely available Vampir commercial Vampir Server / Vampir Next Generation commercial Developed at the TU Dresden Automatic instrumentation support Many additional recording capabilities Memory Usage I/O Activity Tracing CPU-counters Performs automatic filtering Multi window GUI
5 5 To use Vampir the following steps are necessary: 1. Select the correct compiler wrapper C: vtcc -vt:cc C++: vtcxx -vt:cxx Fortan: vtf77 -vt:f77 vtf90 -vt:f90 2. Instrument your application by recompiling it vtcc -vt:cc gcc hello.c o hello.exe 3. Execute as usual mpirun hello.exe 4. Analyze application vampir vtrace.otf
6 6 Vampir has two graphical data exploration tools: vampir local execution, no setup required vampir server / vampir next generation server-client based: 1. Start the vampir server (default with 5 processes) vngd-start.sh feedback: server listens on hostname:port 2. Start the vampir client vng and use the GUI to connect to the server (command line options available to connect from the shell)
7 Start vampir next generation: 7
8 Main Window The server-client approach just can handle larger traces vampir vampir next generation 8
9 Windows after startup: 9
10 First window presented to you: Summary Chart By default: all information is grouped 10
11 Ungroup 11
12 Per function summary 12
13 Start by looking at the timeline 13
14 Vampir timeline Many MPI messages 14
15 Vampir next generation, timeline MPI messages 15
16 From now on, vampir next generation only: Similar steps in vampir possible However looks my differ 16
17 Zooming into the timeline Individual MPI communications 17
18 18
19 Vampir provides many different views of your application! A selection: Summary chart Time line Summary timeline Message profile Message statistics Call Tree Per process timeline 19
20 Summary timeline 20
21 Message statistics 21
22 Message profile 22
23 Message profile 23
24 Call tree 24
25 Call tree 25
26 Per process timeline 26
27 Vampir provides many options for each graph Right click and explore Examples: Different display mode Different values in current view 27
28 Example: Process profile 28
29 Vampir also provides filtering capabilities: 1. Define a filter file in the environment variable export VT_FILTER_SPEC=~/myFilter 2. The filter file contains a list of functions names with a limit Execute your application as normal
30 How setup the environment here at the RWTH-Aachen? Load the module by typing: Tracing: module load VIHPS vampir_trace Vampir module load VIHPS vampir_classic Vampir Next Generation module load VIHPS vampir_server And proceed as described! 30
High Performance Computing in Aachen
High Performance Computing in Aachen Christian Iwainsky iwainsky@rz.rwth-aachen.de Center for Computing and Communication RWTH Aachen University Produktivitätstools unter Linux Sep 16, RWTH Aachen University
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