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Aggregating each filter bin into a contiguous datatype reduces the count passed to MPI_Bcast by a factor of the score and estimator dimensions, but the count is still an int. A tally with more filter bins than an int can represent therefore still fails, which is the part of openmc-dev#914 that remained open after the aggregation was introduced. Broadcast in chunks no larger than INT_MAX filter bins, mirroring the approach already used for reductions in mpi::reduce_buffer. All ranks derive the loop bounds from the same tally layout, so the sequence of collective calls stays identical across ranks. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017ci4aodNXq5BPbv3PXZNcp
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Aggregating each filter bin into a contiguous datatype reduces the count passed to MPI_Bcast by a factor of the score and estimator dimensions, but the count is still an int. A tally with more filter bins than an int can represent therefore still fails, which is the part of #914 that remained open after the aggregation was introduced.
Broadcast in chunks no larger than INT_MAX filter bins, mirroring the approach already used for reductions in mpi::reduce_buffer. All ranks derive the loop bounds from the same tally layout, so the sequence of collective calls stays identical.
Fixes #914
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I have followed the style guidelines for Python source files (if applicable)I have made corresponding changes to the documentation (if applicable)I have added tests that prove my fix is effective or that my feature works (if applicable)