MPI Irecv

GPTKB entity

Statements (59)
Predicate Object
gptkbp:instance_of gptkb:user_interface
gptkbp:can_be_called_from Any MPI process
gptkbp:can_be_combined_with MPI_ Isend
gptkbp:can_be_used_with Collective operations
gptkbp:data_return MPI_ SUCCESS
gptkbp:description Non-blocking receive operation in MPI
gptkbp:error_handling Can return error codes
gptkbp:formulation int MPI_ Irecv(void *buf, int count, MPI_ Datatype datatype, int source, int tag, MPI_ Comm comm, MPI_ Request *request)
https://www.w3.org/2000/01/rdf-schema#label MPI Irecv
gptkbp:is_analyzed_in Performance tuning studies
Research papers on parallel computing
gptkbp:is_compatible_with gptkb:MPI__Recv
gptkbp:is_critical_for Data-intensive applications
Data transfer in distributed systems
gptkbp:is_described_as MPI textbooks
gptkbp:is_documented_in MPI documentation
MPI user guides
gptkbp:is_essential_for Large-scale simulations
Scalable parallel applications
gptkbp:is_explored_in Advanced MPI tutorials
gptkbp:is_fundamental_to Parallel algorithms
gptkbp:is_implemented_in C, C++, Fortran
Various MPI implementations
gptkbp:is_optimized_for Asynchronous communication
gptkbp:is_part_of gptkb:MPI_standard
Point-to-point communication
Distributed computing frameworks
Asynchronous message passing
MPI communication model
gptkbp:is_related_to Concurrency control
Message passing interface
gptkbp:is_supported_by gptkb:MPICH
gptkb:Open_MPI
MPI libraries
gptkbp:is_tested_for High-performance benchmarks
MPI benchmarks
gptkbp:is_used_for Data exchange between processes
gptkbp:is_used_in Real-time data processing
High-performance computing
Scientific computing
gptkbp:is_utilized_in gptkb:servers
Machine learning applications
gptkbp:key Efficient parallel processing
gptkbp:orbital_period count
source
request
tag
buf
comm
datatype
gptkbp:participated_in Receive operation
gptkbp:performance Performance evaluation of MPI programs
gptkbp:related_to gptkb:MPI__Send
non-blocking communication
gptkbp:requires MPI environment initialization
gptkbp:usage Used in parallel programming with MPI
gptkbp:year Must be completed with MPI_ Wait or MPI_ Test
gptkbp:bfsParent gptkb:MPI__Reduce
gptkbp:bfsLayer 5