Improving distributed memory applications testing by message perturbation
Proceedings of the 2006 workshop on Parallel and distributed systems: testing and debugging
PNMPI tools: a whole lot greater than the sum of their parts
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Novel views of performance data to analyze large-scale adaptive applications
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
An adaptive, scalable, and portable technique for speeding up MPI-based applications
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
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The MPI standard provides tool builders with an efficient profiling interface, PMPI. Although many tools have successfully used this interface, it has three major drawbacks: a need to relink the application in order to use a tool; an inability to combine existing tools easily; and a lack of support for tool modularity. These limitations restrict tool flexibility and increase the threshold for using MPI tools. We present P^NMPI , an infrastructure to load MPI tools dynamically and to chain multiple MPI tools for concurrent use. It works with existing PMPI tools, which can be transparently converted in binary form into loadable PNMPI modules, and newly developed tools, which can exploit additional P^NMPI inter-tool communication services. We show that our implementation achieves our design goals, including ease-of-use and minimal overhead.