skip to main content
poster

POSTER: Recovering Performance for Vector-based Machine Learning on Managed Runtime

Authors Info & Claims
Published:26 January 2017Publication History

Abstract

No abstract available.

References

  1. A. Alexandrov, R. Bergmann, S. Ewen, J.-C. Freytag, F. Hueske, A. Heise, O. Kao, M. Leich, U. Leser, V. Markl, et al. The stratosphere platform for big data analytics. VLDB, 23(6):939--964, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Apache. Apache mahout: Scalable machine learning and data mining. mahout.apache.org.Google ScholarGoogle Scholar
  3. X. Meng, J. Bradley, B. Yuvaz, E. Sparks, S. Venkataraman, D. Liu, J. Freeman, D. Tsai, M. Amde, S. Owen, et al. Mllib: Machine learning in apache spark. JMLR, 17(34):1--7, 2016.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. Zaharia, M. Chowdhury, T. Das, A. Dave, J. Ma, M. McCauly, M. J. Franklin, S. Shenker, and I. Stoica. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. In NSDI, 2012.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. POSTER: Recovering Performance for Vector-based Machine Learning on Managed Runtime

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image ACM SIGPLAN Notices
        ACM SIGPLAN Notices  Volume 52, Issue 8
        PPoPP '17
        August 2017
        442 pages
        ISSN:0362-1340
        EISSN:1558-1160
        DOI:10.1145/3155284
        Issue’s Table of Contents
        • cover image ACM Conferences
          PPoPP '17: Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
          January 2017
          476 pages
          ISBN:9781450344937
          DOI:10.1145/3018743

        Copyright © 2017 Owner/Author

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 January 2017

        Check for updates

        Qualifiers

        • poster
      • Article Metrics

        • Downloads (Last 12 months)9
        • Downloads (Last 6 weeks)1

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader
      About Cookies On This Site

      We use cookies to ensure that we give you the best experience on our website.

      Learn more

      Got it!