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gptkbp:instance_of
|
gptkb:user_interface
|
|
gptkbp:can_be_blocking_or_non-blocking
|
depending on the implementation
|
|
gptkbp:can_be_combined_with
|
data from all processes
|
|
gptkbp:can_be_used_for
|
sum, max, min operations
|
|
gptkbp:can_be_used_with
|
user-defined operations
|
|
gptkbp:can_handle
|
large datasets
|
|
gptkbp:data_return
|
result to all processes
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
MPI Allreduce
|
|
gptkbp:is_available_in
|
most MPI implementations
|
|
gptkbp:is_defined_by
|
gptkb:MPI-1_standard
|
|
gptkbp:is_essential_for
|
data consistency in distributed systems
|
|
gptkbp:is_implemented_in
|
C, C++, Fortran
|
|
gptkbp:is_often_used_in
|
machine learning algorithms
scientific simulations
|
|
gptkbp:is_optimized_for
|
high-performance computing
|
|
gptkbp:is_part_of
|
gptkb:MPI_standard
collective communication operations
|
|
gptkbp:is_similar_to
|
gptkb:MPI__Reduce
|
|
gptkbp:is_synchronous
|
in nature
|
|
gptkbp:performed_in
|
reduction operation
|
|
gptkbp:requires
|
communicator as input
|
|
gptkbp:supports
|
multiple data types
|
|
gptkbp:used_in
|
parallel computing
|
|
gptkbp:bfsParent
|
gptkb:MPI__Reduce
|
|
gptkbp:bfsLayer
|
5
|