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020 _a9783030507435
_9978-3-030-50743-5
024 7 _a10.1007/978-3-030-50743-5
_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 _aHigh Performance Computing
_h[electronic resource] :
_b35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22-25, 2020, Proceedings /
_cedited by Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVII, 556 p. 391 illus., 194 illus. in color.
_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 ;
_v12151
505 0 _aArchitectures, Networks & Infrastructure -- Artificial Intelligence and Machine Learning -- Data, Storage & Visualization -- Emerging Technologies -- HPC Algorithms -- HPC Applications -- Performance Modeling & Measurement -- Programming Models & Systems Software.
520 _aThis book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.* The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. *The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
650 0 _aSoftware engineering.
_94138
650 0 _aComputer engineering.
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650 0 _aComputer networks .
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650 0 _aComputers.
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650 0 _aArtificial intelligence.
_93407
650 1 4 _aSoftware Engineering.
_94138
650 2 4 _aComputer Engineering and Networks.
_9172704
650 2 4 _aComputer Hardware.
_933420
650 2 4 _aComputer Communication Networks.
_9172705
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aSadayappan, Ponnuswamy.
_eeditor.
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700 1 _aChamberlain, Bradford L.
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_9172707
700 1 _aJuckeland, Guido.
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_9172708
700 1 _aLtaief, Hatem.
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_9172709
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030507428
776 0 8 _iPrinted edition:
_z9783030507442
830 0 _aTheoretical Computer Science and General Issues,
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_v12151
_9172711
856 4 0 _uhttps://doi.org/10.1007/978-3-030-50743-5
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