Concurrent ML

Results: 18



#Item
1Channels, Concurrency, and Cores A story of Concurrent ML Andy Wingo ~ wingolog.org ~ @andywingo

Channels, Concurrency, and Cores A story of Concurrent ML Andy Wingo ~ wingolog.org ~ @andywingo

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Source URL: wingolog.org

- Date: 2017-06-23 05:20:05
    2Word-Dokumentvorlage Version 1.2 (ML)

    Word-Dokumentvorlage Version 1.2 (ML)

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    Source URL: disco.ethz.ch

    Language: English - Date: 2014-09-26 08:36:59
    3Krajowa Izba Rozliczeniowa S.A. Schema XSD opisująca typy dokumentów obsługiwane w Systemie invooclip

    Krajowa Izba Rozliczeniowa S.A. Schema XSD opisująca typy dokumentów obsługiwane w Systemie invooclip

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    Source URL: www.kir.pl

    Language: English - Date: 2014-11-28 11:55:53
    4Semantics for core Concurrent ML using computation types Alan Jeffrey Abstract This paper presents two typed higher-order concurrent functional programming languages, based on Reppy’s Concurrent ML. The first is a simp

    Semantics for core Concurrent ML using computation types Alan Jeffrey Abstract This paper presents two typed higher-order concurrent functional programming languages, based on Reppy’s Concurrent ML. The first is a simp

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    Source URL: ect.bell-labs.com

    Language: English - Date: 2010-12-15 21:39:09
    5Toward a parallel implementation of Concurrent ML John Reppy and Yingqi Xiao University of Chicago Abstract. Concurrent ML (CML) is a high-level message-passing language that supports the construction of first-class sync

    Toward a parallel implementation of Concurrent ML John Reppy and Yingqi Xiao University of Chicago Abstract. Concurrent ML (CML) is a high-level message-passing language that supports the construction of first-class sync

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    Source URL: clip.dia.fi.upm.es

    Language: English - Date: 2008-01-02 20:52:54
      6

      PDF Document

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      Source URL: kcsrk.info

      Language: English - Date: 2016-01-29 21:36:03
      7TOWARD OPTIMIZATION OF CONCURRENT ML YINGQI XIAO THE UNIVERSITY OF CHICAGO ADVISOR: JOHN REPPY DECEMBER 2005

      TOWARD OPTIMIZATION OF CONCURRENT ML YINGQI XIAO THE UNIVERSITY OF CHICAGO ADVISOR: JOHN REPPY DECEMBER 2005

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      Source URL: manticore.cs.uchicago.edu

      Language: English - Date: 2012-01-17 08:40:31
        8More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server †Qirong Ho, †James Cipar, §Henggang Cui, †Jin Kyu Kim, †Seunghak Lee, ‡Phillip B. Gibbons, †Garth A. Gibson, §Gregory R. Gange

        More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server †Qirong Ho, †James Cipar, §Henggang Cui, †Jin Kyu Kim, †Seunghak Lee, ‡Phillip B. Gibbons, †Garth A. Gibson, §Gregory R. Gange

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        Source URL: papers.nips.cc

        Language: English - Date: 2014-11-26 14:10:57
        9Kill-Safe Synchronization Abstractions “Well, it just so happens that your friend here is only mostly dead. There’s a big difference between mostly dead and all dead.” – Miracle Max in The Princess Bride Matthew

        Kill-Safe Synchronization Abstractions “Well, it just so happens that your friend here is only mostly dead. There’s a big difference between mostly dead and all dead.” – Miracle Max in The Princess Bride Matthew

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        Source URL: www.cs.utah.edu

        Language: English - Date: 2004-04-09 16:54:07
        10Dataset & Pipeline ML Pipeline Demo > import org.apache.spark.ml._ import org.apache.spark.ml.classification._ import org.apache.spark.ml.feature._

        Dataset & Pipeline ML Pipeline Demo > import org.apache.spark.ml._ import org.apache.spark.ml.classification._ import org.apache.spark.ml.feature._

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        Source URL: files.meetup.com

        Language: English - Date: 2015-01-14 17:51:56