Titlebook: Recent Advances in the Message Passing Interface; 17th European MPI Us Rainer Keller,Edgar Gabriel,Jack Dongarra Conference proceedings 201

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A Scalable MPI_Comm_split Algorithm for Exascale Computing.37 second. Existing algorithms build a table with as many entries as processes, using vast amounts of memory. Our algorithm uses a small, fixed amount of memory per communicator after .?has finished and uses a fraction of the memory used by the conventional algorithm for temporary storage during the execution of ..

sundowning

inconceivable

Precise Dynamic Analysis for Slack Elasticity: Adding Buffering without Adding Bugsprogram non-determinism and cause new bugs. We present a procedure to minimally enumerate potential culprit sends and efficiently check for slack elasticity. Our results demonstrate that our new algorithm called POE. which is incorporated into our dynamic verifier ISP can efficiently run this new analysis on large MPI programs.

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兩種語言

Enabling Concurrent Multithreaded MPI Communication on Multicore Petascale Systemsat demonstrate that our new design improves the multithreaded message rate by a factor of 3.6 compared with the existing implementation on the BG/P. Our solutions are also applicable to other high-end systems that have parallel network access capabilities.

錢財

PMI: A Scalable Parallel Process-Management Interface for Extreme-Scale Systemses, as well as PMI-2, the second-generation of PMI that eliminates various shortcomings in PMI-1. Together with the interface itself, we also describe a reference implementation for both PMI-1 and PMI-2 in a new process-management framework within MPICH2, called Hydra, and compare their performance in running MPI jobs with thousands of processes.

Dendritic-Cells

Efficient MPI Support for Advanced Hybrid Programming Modelsncies, including performance limitations and programming complexity, that could be avoided if MPI would offer a thread-safe (stateless) interface to .. We propose such an extension for the upcoming MPI-3 standard, provide a reference implementation, and demonstrate significant performance benefits.

有害

Network Offloaded Hierarchical Collectives Using ConnectX-2’s CORE-, Capabilitiese by 45%, from 26.59 microseconds, when not considering network topology, to 14.72 microseconds, with the CPU based collective barrier operation completing in 19.04 microseconds. The nonblocking barrier algorithm has similar performance, with about 50% of that time available for computation.

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