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
FT-MPI: Fault Tolerant MPI, Supporting Dynamic Applications in a Dynamic World
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
MPICH-V: toward a scalable fault tolerant MPI for volatile nodes
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Achieving scalability in parallel file systems
Achieving scalability in parallel file systems
PVFS: a parallel file system for linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Implementing Reliable Data Structures for MPI Services in High Component Count Systems
Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Portable explicit threading and concurrent programming for MPI applications
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
Using MPI in high-performance computing services
Proceedings of the 20th European MPI Users' Group Meeting
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MPI is routinely used for writing parallel applications, but it is not commonly used for writing long-running parallel services, such as parallel file systems or job schedulers. Nonetheless, MPI does have many features that are potentially useful for writing such software. Using the PVFS2 parallel file system as a motivating example, we studied the needs of software that provide persistent parallel services and evaluated whether MPI is a good match for those needs. We also ran experiments to determine the gaps between what the MPI Standard enables and what MPI implementations currently support. The results of our study indicate that MPI can enable persistent parallel systems to be developed with less effort and can provide high performance, but MPI implementations will need to provide better support for certain features. We also describe an area where additions to the MPI Standard would be useful.