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I was wondering if the shared memory transport in the latest IntelMPI has any core count limitation. I was trying to run on an Azure HBv5 (MI300C0) node with 368 cores but it crashes while doing the
MPI_Init.
Thanks
Michael
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Please check your number of open files ulimit settings.
Run "ulimit -a" to report all current settings or "ulimit -n" just to report the number of open files limit.
Run "ulimit -Sn <number>" to set a new limit.
Intel MPI uses around 3 file descriptors for each rank.
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I see, thanks.
There is no other build-in resource limitation in the code per core besides the number of file descriptors, right?
Thanks
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Our ulimit (soft limits are the same) is
$ ulimit -Ha
core file size (blocks, -c) unlimited
data seg size (kbytes, -d) unlimited
scheduling priority (-e) 0
file size (blocks, -f) unlimited
pending signals (-i) 442544
max locked memory (kbytes, -l) unlimited
max memory size (kbytes, -m) unlimited
open files (-n) 65536
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) unlimited
cpu time (seconds, -t) unlimited
max user processes (-u) 32768
virtual memory (kbytes, -v) unlimited
file locks (-x) unlimitedCan you think of any other resource that could become sparse when we use IntelMPI on very high core count nodes? We are using nodes with 368 cores each.
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