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- Computações Paralelas com PVM
Please note that the recommended version of Scilab is 2023.1.0. This page might be outdated.
However, this page did not exist in the previous stable version.
immediately sends (or multicast) data.
[info] = pvm_send(tids,buff,msgtag)
row of integers, contains the task IDs of the tasks to be sent to.
- msgtag : integer, message tag supplied by the user. msgtag should be
>= 0. It allows the user's program to distinguish between different kinds of messages .
integer, status code returned by the routine. Values less than zero indicate an error.
sends (or multicasts) a message
to the PVM process identified in the
array. Note that the message is not sent to the caller even if listed
in the array of tids.
is used to label the content of the message.
The returned value will be >= 0 if the call is successful and will be will be < 0 if some error occurs.
pvm_send routine is asynchronous. Computation on the sending
processor resumes as soon as the message is safely on its way to the
receiving processor. This is in contrast to synchronous
communication, during which computation on the sending processor halts
until the matching receive is executed by the receiving processor.
If a multicast is performed,
pvm_send first determines which other
pvmds contain the specified tasks. Then passes the message to these
pvmds which in turn distribute the message to their local tasks
without further network traffic.
The PVM model guarantees the following about message order. If task 1 sends message A to task 2, then task 1 sends message B to task 2, message A will arrive at task 2 before message B. Moreover, if both messages arrive before task 2 does a receive, then a wildcard receive will always return message A.
Terminating a PVM task immediately after sending a message or messages from it may result in those messages being lost. To be sure, always call pvm_exit() before stopping.
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