Py-pits: A Scalable Python Runtime System For The Computation Of Partially Idempotent Tasks

dc.creatorBorin
dc.creatorEdson; Benedicto
dc.creatorCaian; Rodrigues
dc.creatorIan L.; Pisani
dc.creatorFlavia; Tygel
dc.creatorMartin; Breternitz
dc.creatorMauricio
dc.creatorJr.
dc.date2016
dc.date2017-11-13T13:50:55Z
dc.date2017-11-13T13:50:55Z
dc.date.accessioned2018-03-29T06:07:26Z
dc.date.available2018-03-29T06:07:26Z
dc.identifier978-1-5090-4844-1
dc.identifier2016 28th Ieee International Symposium On Computer Architecture And High Performance Computing Workshops (sbac-padw). Ieee, p. 7 - 12, 2016.
dc.identifierWOS:000398540400002
dc.identifier10.1109/SBAC-PADW.2016.10
dc.identifierhttp://ieeexplore.ieee.org/document/7803668/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329307
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366332
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionThe popularization of multi-core architectures and cloud services has allowed users access to high performance computing infrastructures. However, programming for these systems might be cumbersome due to challenges involving system failures, load balancing, and task scheduling. Aiming at solving these problems, we previously introduced SPITS, a programming model and reference architecture for executing bag-of-task applications. In this work, we discuss how this programming model allowed us to design and implement PY-PITS, a simple and effective open source runtime system that is scalable, tolerates faults and allows dynamic provisioning of resources during computation of tasks. We also discuss how PY-PITS can be used to improve utilization of multi-user computational clusters equipped with queues to submit jobs and propose a performance model to aid users to understand when the performance of PY-PITS scales with the number of Workers.
dc.description7
dc.description12
dc.descriptionPetrobras
dc.descriptionCAPES
dc.descriptionFAPESP
dc.descriptionCNPq
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description28th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
dc.descriptionOCT 26-28, 2016
dc.descriptionLos Angeles, CA
dc.description
dc.languageEnglish
dc.publisherIEEE
dc.publisherNew York
dc.relation2016 28th IEEE International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)
dc.rightsfechado
dc.sourceWOS
dc.titlePy-pits: A Scalable Python Runtime System For The Computation Of Partially Idempotent Tasks
dc.typeActas de congresos


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