NAME

       wavefront_master - executes Wavefront workflow in parallel on distributed systems

SYNOPSIS

       wavefront [options] <command> <xsize> <ysize> <inputdata> <outputdata>

DESCRIPTION

       wavefront_master  computes a two dimensional recurrence relation. You provide a function F
       (<command>) that accepts the left (x), right (y), and  diagonal  (d)  values  and  initial
       values  (<inputdata>)  for  the  edges  of  the  matrix.  The output matrix, whose size is
       determined by <xsize> and <ysize>, will be stored in a file specified by <outputdata>.

       wavefront_master uses the Work Queue system to distribute tasks  among  processors.  After
       starting  wavefront_master,  you  must start a number of work_queue_worker(1) processes on
       remote machines.  The workers will then connect back  to  the  master  process  and  begin
       executing tasks.

OPTIONS

        -h, --help
              Show this help screen

        -v, --version
              Show version string

       -d, --debug=<subsystem>
              Enable debugging for this subsystem. (Try -d all to start.)

       -N, --project-name=<project>
              Set the project name to <project>

       -o, --debug-file=<file>
              Write  debugging  output  to  this  file.  By  default, debugging is sent to stderr
              (":stderr"). You may specify logs to be sent to stdout (":stdout") instead.

       -p, --port=<port>
              Port number for queue master to listen on.

       -P, --priority=<num>
              Priority. Higher the value, higher the priority.

       -Z, --port-file=<file>
              Select port at random and write it to this file.  (default is disabled)

        --work-queue-preferred-connection <connection>
              Indicate preferred connection. Chose one  of  by_ip  or  by_hostname.  (default  is
              by_ip)

EXIT STATUS

       On success, returns zero.  On failure, returns non-zero.

EXAMPLES

       Suppose  you  have  a program named function that you want to use in the Wavefont workflow
       computation. The program function, when  invoked  as  function  a  b  c,  should  do  some
       computations on files a, b and c and produce some output on the standard output.

       Before  running  wavefront_master,  you  need to create a file, say input.data, that lists
       initial values of the matrix (values on the left and bottom edges), one per line:

                0   0    value.0.0
                0   1    value.0.1
                ...
                0   n    value.0.n
                1   0    value.1.0
                2   0    value.2.0
                ...
                n   0    value.n.0

       To run a Wavefront workflow sequentially, start a single work_queue_worker(1)  process  in
       the  background.  Then, invoke wavefront_master. The following example computes a 10 by 10
       Wavefront matrix:

                % work_queue_worker localhost 9123 &
                % wavefront_master function 10 10 input.data output.data

       The framework will carry out the computations in the order of dependencies, and print  the
       results  one  by one (note that the first two columns are X and Y indices in the resulting
       matrix) in the specified output file. Below is an  example  of  what  the  output  file  -
       output.data would look like:

                1   1    value.1.1
                1   2    value.1.2
                1   3    value.1.3
                ...

       To speed up the process, run more work_queue_worker(1) processes on other machines, or use
       condor_submit_workers(1) or sge_submit_workers(1) to start hundreds  of  workers  in  your
       local batch system.

       The  following  is  an  example  of  adding  more workers to execute a Wavefront workflow.
       Suppose your wavefront_master is running on a machine named  barney.nd.edu.  If  you  have
       access  to  login  to other machines, you could simply start worker processes on each one,
       like this:

                % work_queue_worker barney.nd.edu 9123

       If you have access to a batch system like Condor, you can submit multiple workers at once:

                % condor_submit_workers barney.nd.edu 9123 10
                Submitting job(s)..........
                Logging submit event(s)..........
                10 job(s) submitted to cluster 298.

COPYRIGHT

       The Cooperative Computing Tools are Copyright (C) 2005-2019 The University of Notre  Dame.
       This  software  is distributed under the GNU General Public License.  See the file COPYING
       for details.

SEE ALSO

       •   The Cooperative Computing Tools ("http://ccl.cse.nd.edu/software/manuals")

       •   Wavefront User Manual ("http://ccl.cse.nd.edu/software/manuals/wavefront.html")

       •   Work Queue User Manual ("http://ccl.cse.nd.edu/software/manuals/workqueue.html")

       •   work_queue_worker(1)

       •   condor_submit_workers(1)

       •   sge_submit_workers(1)