Matei Zaharia

Results: 131



#Item
1Dominant Resource Fairness: Fair Allocation of Multiple Resource Types Ali Ghodsi, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica University of California, Berkeley {alig,matei,benh,andyk,shen

Dominant Resource Fairness: Fair Allocation of Multiple Resource Types Ali Ghodsi, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica University of California, Berkeley {alig,matei,benh,andyk,shen

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Source URL: people.eecs.berkeley.edu

Language: English - Date: 2014-02-27 02:30:26
2FPGAs	as	Streaming	MIMD	 Machines	for	Data	Analy9cs	 James	Thomas,	Matei	Zaharia,	Pat Hanrahan	  CPU/GPU	Control	Flow	Divergence

FPGAs as Streaming MIMD Machines for Data Analy9cs James Thomas, Matei Zaharia, Pat Hanrahan CPU/GPU Control Flow Divergence

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Source URL: platformlab.stanford.edu

Language: English - Date: 2018-06-18 15:29:45
3DIY Hosting for Online Privacy Shoumik Palkar and Matei Zaharia Stanford University Before: A Federated Internet The Internet and its protocols were designed to be federated

DIY Hosting for Online Privacy Shoumik Palkar and Matei Zaharia Stanford University Before: A Federated Internet The Internet and its protocols were designed to be federated

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Source URL: platformlab.stanford.edu

Language: English - Date: 2018-06-18 15:29:57
4Dominant Resource Fairness: Fair Allocation of Multiple Resource Types Ali Ghodsi, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica University of California, Berkeley {alig,matei,benh,andyk,shen

Dominant Resource Fairness: Fair Allocation of Multiple Resource Types Ali Ghodsi, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica University of California, Berkeley {alig,matei,benh,andyk,shen

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Source URL: web.eecs.umich.edu

Language: English
    5Infrastructure for Usable Machine Learning: The Stanford DAWN Project Peter Bailis, Kunle Olukotun, Christopher R´e, Matei Zaharia Stanford DAWN Project http://dawn.cs.stanford.edu/

    Infrastructure for Usable Machine Learning: The Stanford DAWN Project Peter Bailis, Kunle Olukotun, Christopher R´e, Matei Zaharia Stanford DAWN Project http://dawn.cs.stanford.edu/

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    Source URL: arxiv.org

    Language: English - Date: 2017-06-11 20:27:23
      6NoScope: Optimizing Neural Network Queries over Video at Scale Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia Stanford InfoLab

      NoScope: Optimizing Neural Network Queries over Video at Scale Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia Stanford InfoLab

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      Source URL: www.bailis.org

      Language: English - Date: 2017-08-08 16:44:10
        7M ODEL DB: A System for Machine Learning Model Management Manasi Vartak, Harihar Subramanyam, Wei-En Lee, Srinidhi Viswanathan, Saadiyah Husnoo Samuel Madden, Matei Zaharia MIT {mvartak, madden, matei}@csail.mit.edu, {hs

        M ODEL DB: A System for Machine Learning Model Management Manasi Vartak, Harihar Subramanyam, Wei-En Lee, Srinidhi Viswanathan, Saadiyah Husnoo Samuel Madden, Matei Zaharia MIT {mvartak, madden, matei}@csail.mit.edu, {hs

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        Source URL: mitdbg.github.io

        Language: English - Date: 2017-05-02 14:51:54
          8Reliable, Memory Speed Storage for Cluster Computing Frameworks Haoyuan Li Ali Ghodsi Matei Zaharia

          Reliable, Memory Speed Storage for Cluster Computing Frameworks Haoyuan Li Ali Ghodsi Matei Zaharia

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          Source URL: people.eecs.berkeley.edu

          Language: English - Date: 2014-08-22 15:47:28
            9Parallel	
  Programming	
   With	
  Spark	
   Matei	
  Zaharia	
      UC	
  Berkeley	
  

            Parallel  Programming   With  Spark   Matei  Zaharia     UC  Berkeley  

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            Source URL: ampcamp.berkeley.edu

            Language: English - Date: 2013-08-29 14:34:13
              10Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, I

              Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, I

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              Source URL: web.eecs.umich.edu

              Language: English - Date: 2015-12-20 16:58:40