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020 _a9783319617565
_9978-3-319-61756-5
024 7 _a10.1007/978-3-319-61756-5
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
072 7 _aUMZ
_2thema
082 0 4 _a005.1
_223
245 1 0 _aJob Scheduling Strategies for Parallel Processing
_h[electronic resource] :
_b19th and 20th International Workshops, JSSPP 2015, Hyderabad, India, May 26, 2015 and JSSPP 2016, Chicago, IL, USA, May 27, 2016, Revised Selected Papers /
_cedited by Narayan Desai, Walfredo Cirne.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aX, 279 p. 114 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v10353
505 0 _aParallel scheduling challenges raising at multiple levels of abstractions -- node level parallelism -- Minimization of energy consumption in task migration within a many-core chip; -- Task replication in real-time scheduling context -- Data-driven approach to schedule GPU load -- The use of lock-free data structures in OS scheduler -- The influence between user behaviour (think time, more precisely) and parallel scheduling -- Evalix, a predictor for job resource consumption -- Sophisticated and realistic simulation -- Space-filling curves leading to better scheduling of large-scale computers -- Discussion of real-life production experiences.
520 _aThis book constitutes the thoroughly refereed post-conference proceedings of the 19th and 20th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2015 and 2016, held respectively in Hyderabad, India, on May 26, 2015 and in Chicago, IL, USA, on May 27, 2016. The 14 revised full papers presented (7 papers in 2015 and 7 papers in 2016) were carefully reviewed and selected from 28 submissions (14 in 2015 and 14 in 2016). The papers cover the following topics: parallel scheduling raising challenges multiple levels of abstractions; node level parallelism; minimization of energy consumption in task migration within a many-core chip; task replication in real-time scheduling context; data-driven approach to schedule GPU load; the use of lock-free data structures in OS scheduler; the influence between user behaviour (think time, more precisely) and parallel scheduling; Evalix, a predictor for job resource consumption; sophisticated and realistic simulation; space-filling curves leading to better scheduling of large-scale computers; discussion of real-life production experiences.
650 0 _aSoftware engineering.
_94138
650 0 _aComputer networks .
_931572
650 0 _aAlgorithms.
_93390
650 0 _aApplication software.
_9135355
650 0 _aComputer simulation.
_95106
650 1 4 _aSoftware Engineering.
_94138
650 2 4 _aComputer Communication Networks.
_9135356
650 2 4 _aAlgorithms.
_93390
650 2 4 _aComputer and Information Systems Applications.
_9135357
650 2 4 _aComputer Modelling.
_9135358
700 1 _aDesai, Narayan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135359
700 1 _aCirne, Walfredo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9135360
710 2 _aSpringerLink (Online service)
_9135361
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319617558
776 0 8 _iPrinted edition:
_z9783319617572
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v10353
_9135362
856 4 0 _uhttps://doi.org/10.1007/978-3-319-61756-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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999 _c92303
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