I don't know of any work in that direction for now. Indeed, we plan to
eventually integrate at least causal message logging in the pml-v,
which also includes piggybacking. Therefore we are open for
collaboration with you on this matter. Please let us know :)
Aurelien
Le 1 févr. 08 à 09:51, Thomas Ropars a écrit :
Hi,
I'm currently working on optimistic message logging and I would like
to
implement an optimistic message logging protocol in OpenMPI.
Optimistic
message logging protocols piggyback information about dependencies
between processes on the application messages to be able to find a
consistent global state after a failure. That's why I'm interested in
the problem of piggybacking information on MPI messages.
Is there some works on this problem at the moment ?
Has anyone already implemented some mechanisms in OpenMPI to piggyback
data on MPI messages?
Regards,
Thomas
Oleg Morajko wrote:
Hi,
I'm developing a causality chain tracking library and need a
mechanism
to attach an extra data to every MPI message, so called piggyback
mechanism.
As far as I know there are a few solutions to this problem from which
the two fundamental ones are the following:
* Dynamic datatype wrapping - if a user MPI_Send, let's say 1024
doubles, the wrapped send call implementation dynamically
creates a derived datatype that is a structure composed of a
pointer to 1024 doubles and extra fields to be piggybacked. The
datatype is constructed with absolute addresses to avoid copying
the original buffer. The receivers side creates the equivalent
datatype to receive the original data and extra data. The
performance of this solution depends on the how good is derived
data type handling, but seems to be lightweight.
* Sending extra data in a separate message -- seems this can have
much more significant overhead
Do you know any other portable solution?
I have implemented the first solution for P2P operations and it works
pretty well. However there are problems with collective operations.
There are 2 classes of collective calls that are problematic:
1. Single receiver calls, like MPI_Gather. The sender tasks in
gather can be handled in the same way as a normal send, a data
item is wrapped and extra data is piggybacked with the message.
The problem is at the receiver side when a root gathers N data
items that must be received in an array big enough to receive
all items strided by datatype extent.
In particular, it seems impossible to construct a datatype that
contains data item and extra data (i.e. structure type with
absolute addresses) AND make an array of these datatypes
separated by a fixed extent. For example: data item to receive
from every process is a vector of 1024 doubles. Extra data is a
single integer. User provides a receive buffer with place for N
* 1024 * double. The library allocates an array of N integers to
receive piggybacked data. How to construct a datatype that can
be used to receive data in MPI_Gather?
2. MPI_Reduce calls. There is no problem with datatypes as the
receiver gets the single data item and not an array as in
previous case. The problem is the reduction operator itself
(MPI_Op) because these operators do not work with wrapped data
types. So I can create a new operator to recognize the wrapped
data type that extracts the original data (skipping extra data)
and performs the original reduction. The point is how to invoke
the original reduction on an existing datatype. I have found
that Open MPI calls internally ompi_op_reduce(op, inbuf, rbuf,
count, dtype) this solves a problem. However this makes the code
MPI-implementation dependent. Any idea on more portable options?
Thank you in advance for any comment.
--Oleg
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