Comments (2)
@BKitor another workaround you can try is to build Hydra standalone without the CUDA dependency:
cd src/pm/hydra
./configure --prefix=<path/to/install> --without-cuda
make -j
make install
from mpich.
Thanks for the report! Hydra is getting the CUDA dependency from the embedded convenience library (MPL) that contains our GPU wrappers used in MPICH. Since none of that GPU code is actually used in Hydra, another solution might be to link Hydra with an MPL without any GPU dependencies. That or we move to dlopen/dlsym
for GPU support in MPL, which shouldn't get triggered by the Hydra processes.
from mpich.
Related Issues (20)
- Subcommunicators HOT 4
- [4.2.0] Assert in mpl_gpu_ze.c:466 when ZE_AFFINITY_MASK set to second device HOT 7
- Memory growth with GPU-aware MPICH on Intel PVC GPUs HOT 3
- make testing failed in VPATH build
- `man MPI_Type_vector_c` is not available HOT 1
- Virtual topologies HOT 2
- MPICH_ATTR_TYPE_TAG(MPI_Aint) comes before MPI_Aint typedef in mpi.h.in
- problems with MPI_CXX_DOUBLE_COMPLEX etc when they are MPI_DATATYPE_NULL
- info: Freeing/modifying `MPI_INFO_ENV` HOT 1
- free(): double free detected in tcache 2 Error message from parallel HDF5 MPI-IO using one-sided ROMIO aggregation
- Performance issue in ROMIO collective buffer aggregation for Parallel HDF5 on sunspot HOT 3
- ROMIO: excessive number of calls to memcpy() HOT 7
- MPI_Waitany through MPI_f08 does not return MPI_UNDEFINED HOT 1
- MPI_Win_shared_query give nullpointer with 1 process HOT 2
- ABI build broken
- Feature request: improved zero-copy non-contiguous send
- ABI File Errhandler broken HOT 4
- Fail to compile with gcc-14 on M1 Macbook HOT 4
- hydra: segfault when machine has thousands of IP addresses. HOT 1
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from mpich.