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Running Many-Task Applications Across Multiple Resources with Everest Platform

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Supercomputing (RuSCDays 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1331))

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Abstract

Distributed computing systems are widely used for the execution of loosely coupled many-task applications, such as parameter sweeps, workflows, distributed optimization. These applications consist of a potentially large number of computational tasks that can be executed more or less independently. Since the application users often have an access to multiple computing resources, it is important to provide a convenient and efficient environment for execution of applications across the user-defined heterogeneous resource pools. The paper discusses the related challenges and presents an approach for solving them based on Everest, a web-based distributed computing platform. The presented solution supports reliable and efficient execution of many-task applications, while taking into account resource performance, adapting to queuing delays and providing a mechanism for communication between tasks.

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Notes

  1. 1.

    https://everest.distcomp.org/apps/ssmir/DDBNB.

  2. 2.

    http://elib.zib.de/pub/mp-testdata/tsp/tsplib/tsp.

  3. 3.

    https://optmod.distcomp.org/apps/vladimirv/solve-set-opt-probs.

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Acknowledgments

This work is supported by the Russian Science Foundation (Project 16-11-10352 - Sects. 4 and 5.2) and the Russian Foundation for Basic Research (Project 20-07-00701 - Sect. 5.3, Project 18-07-00956 - all other sections). This research was supported in part through resources of supercomputer facilities provided by NRU HSE. This work has been carried out using computing resources of the federal collective usage center Complex for Simulation and Data Processing for Mega-science Facilities at NRC “Kurchatov Institute”. The research is carried out using the equipment of the shared research facilities of HPC computing resources at Lomonosov Moscow State University. Computations were held on the basis of the HybriLIT heterogeneous computing platform (LIT, JINR) [2].

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Correspondence to Oleg Sukhoroslov .

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Sukhoroslov, O., Voloshinov, V., Smirnov, S. (2020). Running Many-Task Applications Across Multiple Resources with Everest Platform. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2020. Communications in Computer and Information Science, vol 1331. Springer, Cham. https://doi.org/10.1007/978-3-030-64616-5_54

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  • DOI: https://doi.org/10.1007/978-3-030-64616-5_54

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