Publication | Closed Access
Integrating MPI with Docker for HPC
14
Citations
9
References
2017
Year
Unknown Venue
Cluster ComputingEngineeringComputer ArchitectureSoftware EngineeringHigh Performance ComputingSystems EngineeringParallel ComputingHigh-throughput ComputingSoftware StackHpc TechnologiesHybrid Hpc WorkloadHybrid ProgrammingOs-level VirtualizationComputer EngineeringComputer ScienceContainer TechnologyCloud ComputingParallel ProgrammingPerformance PortabilitySystem SoftwareVirtual Machine
Container technology has the potential to considerably simplify the management of the software stack of High Performance Computing (HPC) clusters. However, poor integration with established HPC technologies is still preventing users and administrators to reap the benefits of containers. Message Passing Interface (MPI) is a pervasive technology used to run scientific software, often written in Fortran and C/C++, that presents challenges for effective integration with containers. This work shows how an existing MPI implementation can be extended to improve this integration.
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