Import Geant4 9.6.0 source tree
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ParGeant4: Geant4/TOP-C, a parallelization of Geant4
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(event-level parallelism)
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Gene Cooperman
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Northeastern University
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gene@ccs.neu.edu,
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For the latest information on ParGeant4, see:
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http://www.ccs.neu.edu/home/gene/pargeant4.html
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Note that a version now exists that runs Geant4 over the Grid.
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Please write to gene@ccs.neu.edu for further information.
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To port other applications to a parallel version, read the
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files ../../info/PAR_INSTALL and ../../info/PAR_README.
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See the beginning of GNUmakefile for reasonable `make' targets to run it.
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To run it:
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0. a. Follow the standard Geant4 installation procedure.
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b. Download and install TOP-C
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The TOP-C home page is at http://www.ccs.neu.edu/home/gene/topc.html
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cd <TOPC_INSTALL_DIR>
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gzip -dc topc.tar.gz | tar -xvf -
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cd topc
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./configure
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make
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make check
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[ Copy bin/topc-config to your path ]
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c. Verify that the Geant4 example installs:
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cd $G4INSTALL/examples/extended/parallel/ParN02
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make
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$G4WORKDIR/bin/$G4SYSTEM/ParN02 ParN02.in
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2. make run
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[ By default, the included `procgroup' file creates two slave processes
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on localhost. ]
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[ Note that in addition to output on master,
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$G4WORKDIR/bin/$G4SYSTEM/slave*.out contains slave output. ]
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[ To remove intermediate files and start over: make parclean ]
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3. Try running it with slave processes on remote processes.
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First, test that your local environment is set up correctly.
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Try:
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ssh <REMOTE_HOSTNAME> $G4WORKDIR/bin/$G4SYSTEM/ParN02 `pwd`/ParN02.in
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The above command needs to work without asking for a password.
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[ If you use dynamic libraries (*.so), make sure the LD_LIBRARY_PATH
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in your shell startup file (e.g. ~.tcshrc) includes both:
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$G4INSTALL/lib/$G4SYSTEM and $CLHEP_BASE_DIR/lib
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If you use AFS, you may need to type 'klog' to renew your AFS token. ]
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In `procgroup' file, replace `localhost' by desired remote hosts;
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Add additional remote hosts (additional slaves) if you like.
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Then: make run
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============================================================================
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If you read ParGNUmakefile, you'll find other things that you can
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modify. For example, all TOP-C additions are in conditionals:
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remove -DG4USE_TOPC from ParGNUmakefile and:
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make parclean; make run
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in order to re-compile and rerun without TOP-C.
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Define REMOTE_SHELL differently if you don't use `ssh' for a remote shell.
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(If undefined, ParGNUmakefile defines it to be `ssh')
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Define MACROFILE diferently to use a different set of input commands.
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Define MEM_MODEL=--seq
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to run with TOP-C, but using a single (sequential) process, suitable
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for easy debugging (via gdb, for example).
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Try: pushd $G4WORKDIR/bin/$G4SYSTEM/; ./ParN02 --TOPC-help
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to see TOP-C run-time options that can be invoked, such as
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pushd $G4WORKDIR/bin/$G4SYSTEM/; ./ParN02 --TOPC-num-slaves=5 ParN02.in
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Alternatively, modify TOPC_OPTIONS in ParGNUmakefile for the same effect.
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You can also try other targets: make run-debug
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This will run it under gdb, so you can single step to see what happens.
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make parclean - Start over with clean set of files.
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============================================================================
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New or modified files:
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ParN02.cc - Adds one line: #include "ParN02.icc"
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ParExample.icc inserts: #include "topc.h"
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and causes main to calls TOPC_init, TOPC_finalize,
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and to use: `new ParRunManager' instead of `new G4RunManager'
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GNUmakefile - Adds one line at beginning: include ParGNUmakefile
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ParGNUmakefile defines EXTRALIBS and CPPFLAGS so as to
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modify behavior of config/binmake.gmk
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in order to use TOP-C libraries and includes
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procgroup - Specifies which slave hosts to use, and where to put output
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For example: localhost 1 - > slave1.out
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host=`localhost', executable=`same as master',
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params of slave=`> slave1.out' (redirect output)
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If output not redirected, it goes to stdout on master.
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src/ParRunManager.cc - ParRunManger derived from G4RunManager
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replaces Gr4RunManager::DoEventLoop w/ TOP-C parallel loop,
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Adds certain local vars of DoEventLoop as ParRunManager members
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include/MarshaledObj.h - run-time utilities for marshalling
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include/MarshaledEx*Hit.h - marshals N02 hits (calorimeter hits)
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include/MarshaledG4*.h - marshaling routines for Geant4 data structures
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~/slave*.out - Contains outputs of slave1, slave2, etc.
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Generated each time parallel ParN02 is executed.
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These files are specified in the file procgroup.
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====================================================================
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This version passes an event number to the slave and lets the
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slave generate the event. The slave passes back marshaled hits to
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the master.
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I will integrate the track level parallelism into this scenario at
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a later date. For the track level, I will generate several
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secondary tracks on the master, and then convert the secondary tracks
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to new events that can be passed to slaves. I will do this only if
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I detect that there are not enough initial events to fully occupy all
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the slaves. This scheme has the drawback that we are splitting an event
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into many events, which may make the summarization, histogram, and so
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on more difficult. However, track level parallelism will be triggered
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only when a very small number of events are generated.
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I also want to support postponing
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a track to the next event ( G4ClassificationOfNewTrack::fPostpone .
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To do this, each slave will wait to retire an event until it knows that
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the previous event has been retired.
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In addition, I plan to have only the master read commands and pass
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them to the slaves. Currently, the master and slaves each read
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identical commands.
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====================================================================
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If you are curious about some of the layers, the following
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stack trace [somewhat out of date now] gives some idea.
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G4RunManager::BeamOn calls ParRunManager::DoEventLoop
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(since G4RunManager::DoEventLoop is virtual)
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ParRunManager::DoEventLoop calls TOPC_master_slave
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TOPC_master_slave calls submit_task_input
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submit_task_input eventually calls COMM_send_msg which calls MPI_Send
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(COMM_send_msg is the communication layer of TOPC;
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ParN02.cc was linked with the TOP-C MPI communication layer.
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The same source could have been linked with a POSIX threads layer,
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a communication layer, or some other communication layer.
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)
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MPI_send calls send
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(where send is the socket system call of libc.so)
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(gdb) where
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#0 0x41946c62 in send () from /lib/libc.so.6
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#1 0x400839c1 in send () at wrapsyscall.c:186
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#2 0x805c547 in MPI_Send (buf=0x82690fc, count=4, datatype=3, dest=2, tag=1, comm=0) at sendrecv.c:236
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#3 0x805a0b5 in COMM_send_msg (msg=0x82690fc, msg_size=4, dst=2, tag=TASK_INPUT_TAG) at comm-mpi.c:224
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#4 0x805774e in send_task_input (slave=2, input={data = 0x82690fc, data_size = 4}, tag=TASK_INPUT_TAG) at topc.c:560
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#5 0x8057aa8 in submit_task_input (input={data = 0x82690fc, data_size = 4}) at topc.c:659
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#6 0x805813c in TOPC_master_slave (generate_task_input_=0x4003d2e4 <ParRunManager::GenerateEventInput(void)>,
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do_task_=0x4003d350 <ParRunManager::DoEvent(int *)>, check_task_result_=0x4003d420 <ParRunManager::CheckEventResult(int *, void *)>,
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update_shared_data_=0) at topc.c:922
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#7 0x4003d18c in ParRunManager::DoEventLoop (this=0x80c0bf0, n_event=1, macroFile=0x0, n_select=-1) at src/ParRunManager.cc:51
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#8 0x400b14d1 in G4RunManager::BeamOn () from /afs/cern.ch/user/c/cooperma/scratch-pcitapi07/geant4/lib/libG4run.so
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#9 0x400b870a in G4RunMessenger::SetNewValue () from /afs/cern.ch/user/c/cooperma/scratch-pcitapi07/geant4/lib/libG4run.so
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#10 0x4167157b in G4UIcommand::DoIt () from /afs/cern.ch/user/c/cooperma/scratch-pcitapi07/geant4/lib/libG4intercoms.so
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#11 0x416810a3 in G4UImanager::ApplyCommand () from /afs/cern.ch/user/c/cooperma/scratch-pcitapi07/geant4/lib/libG4intercoms.so
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#12 0x805db7e in G4UIterminal::ExecuteCommand () at /afs/cern.ch/sw/lhcxx/specific/redhat61/3.2.0/include/CLHEP/Random/Randomize.h:64
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#13 0x805d42d in G4UIterminal::SessionStart () at /afs/cern.ch/sw/lhcxx/specific/redhat61/3.2.0/include/CLHEP/Random/Randomize.h:64
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#14 0x8056a3d in main (argc=1, argv=0x80bfa00) at ParN02.cc:98
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