[Darshan-users] Different builds for each MPI/compiler

[Chih-Song Kuo]

Von: darshan-users-bounces at lists.mcs.anl.gov [mailto:darshan-users-bounces at lists.mcs.anl.gov] Im Auftrag von Phil Carns
Gesendet: Mittwoch, 9. September 2015 15:52
An: darshan-users at lists.mcs.anl.gov
Betreff: Re: [Darshan-users] Different builds for each MPI/compiler

On 09/09/2015 06:55 AM, Chih-Song Kuo wrote:
Hello Darshan user community,

I just started using Darshan. Despite it runs pretty well, I wonder if I have to create different builds for each combination of MPI and compiler. I had this concern because you wrote some issues about libfmpich.so. I as a sales consultant of an HPC-system vendor run benchmarks with many combinations of MPI and compilers to advise our customer the best choice.

Your insight will be greatly appreciated.

Chih-Song

Hi Chih-Song,

I have two pieces of information that might be helpful:

a) The underlying compiler generally doesn't matter as much as the MPI library itself.  We usually compile Darshan itself with GNU compilers for maximum compatibility; the resulting Darshan library should be compatible with most any compiler/linker.

b) As for the MPI library, the MPICH ABI compatibility initiative (https://www.mpich.org/abi/) should help in theory by making sure that quite a few of the MPI implementations have a compatible binary interface.  Our team hasn't tested this capability first hand, so I can't guarantee it will work, but I think the prospects are good.

thanks,
-Phil


Hi Phil,
Thanks. It looks like I might be worrying too much. According my experience with IPM's I/O profiling module, different MPIs seem to have  some difference in the appearance of the "const" modifier which caused some trouble in the compilation. Also, on https://www.nersc.gov/users/software/debugging-and-profiling/ipm/, there seems to be some module explicitly built for Intel compilers. I thought Darshan uses a similar profiling technique, so I was asking.

I read in some Darshan research papers that the tool has been enabled by default on several NERSC clusters. Do the users there have a wide choice of MPI implementations? Do you have any clue which MPIs are chosen by the user and also get successfully profiled by Darshan?

Cheers,
Chh-Song

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