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Estimation of MPI application performance on volunteer environments

機(jī)譯：估計(jì)志愿者環(huán)境中的mpI應(yīng)用程序性能

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Emerging MPI libraries, such as VolpexMPI and P2P MPI, allow message passing parallel programs to execute effectively in heterogeneous volunteer environments despite frequent failures. However, the performance of message passing codes varies widely in a volunteer environment, depending on the application characteristics and the computation and communication characteristics of the nodes and the interconnection network. This paper has the dual goal of developing and validating a tool chain to estimate performance of MPI codes in a volunteer environment and analyzing the suitability of the class of computations represented by NAS benchmarks for volunteer computing. The framework is deployed to estimate performance in a variety of possible volunteer configurations, including some based on the measured parameters of a campus volunteer pool. The results show slowdowns by factors between 2 and 10 for different NAS benchmark codes for execution on a realistic volunteer campus pool as compared to dedicated clusters.
機(jī)譯：新興的MPI庫（例如VolpexMPI和P2P MPI）允許消息傳遞并行程序在異構(gòu)志愿者環(huán)境中有效執(zhí)行，盡管經(jīng)常失敗。但是，消息傳遞代碼的性能在志愿者環(huán)境中變化很大，這取決于節(jié)點(diǎn)和互連網(wǎng)絡(luò)的應(yīng)用特性以及計(jì)算和通信特性。本文的雙重目標(biāo)是開發(fā)和驗(yàn)證工具鏈，以評估志愿者環(huán)境中MPI代碼的性能，并分析以NAS基準(zhǔn)為代表的計(jì)算類別對志愿者計(jì)算的適用性。部署該框架以評估各種可能的志愿者配置中的性能，包括基于校園志愿者池的已測參數(shù)。結(jié)果顯示，與專用集群相比，在實(shí)際的志愿者校園池中執(zhí)行的不同NAS基準(zhǔn)代碼的速度降低了2到10之間。

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