Flattening on the Fly: Efficient Handling of MPI Derived Datatypes
Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
A Benchmark for MPI Derived Datatypes
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Applying MPI Derived Datatypes to the NAS Benchmarks: A Case Study
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
International Journal of High Performance Computing Applications
Self-consistent MPI-IO Performance Requirements and Expectations
Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Self-Consistent MPI Performance Guidelines
IEEE Transactions on Parallel and Distributed Systems
Parallel zero-copy algorithms for fast Fourier transform and conjugate gradient using MPI datatypes
EuroMPI'10 Proceedings of the 17th European MPI users' group meeting conference on Recent advances in the message passing interface
Using MPI derived datatypes in numerical libraries
EuroMPI'11 Proceedings of the 18th European MPI Users' Group conference on Recent advances in the message passing interface
Automatic memory optimizations for improving MPI derived datatype performance
EuroPVM/MPI'06 Proceedings of the 13th European PVM/MPI User's Group conference on Recent advances in parallel virtual machine and message passing interface
mpicroscope: towards an MPI benchmark tool for performance guideline verification
EuroMPI'12 Proceedings of the 19th European conference on Recent Advances in the Message Passing Interface
Micro-applications for communication data access patterns and MPI datatypes
EuroMPI'12 Proceedings of the 19th European conference on Recent Advances in the Message Passing Interface
MPI datatype processing using runtime compilation
Proceedings of the 20th European MPI Users' Group Meeting
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MPI's derived datatypes provide a powerful mechanism for concisely describing arbitrary, noncontiguous layouts of user data for use in MPI communication. This paper formulates self-consistent performance guidelines for derived datatypes. Such guidelines make performance expectations for derived datatypes explicit and suggest relevant optimizations to MPI implementers. We also identify self-consistent guidelines that are too strict to enforce, because they entail NP-hard optimization problems. Enforced self-consistent guidelines assure the user that certain manual datatype optimizations cannot lead to performance improvements, which in turn contributes to performance portability between MPI implementations that behave in accordance with the guidelines. We present results of tests with several MPI implementations, which indicate that many of them violate the guidelines.