Showing 1 - 20 results of 25 for search 'Association for Computing Machinery ', query time: 0.09s Refine Results
  1. 1
    S-Store: streaming meets transaction processing

    S-Store: streaming meets transaction processing by Meehan, John, Pavlo, Andrew, Tufte, Kristin, Zdonik, Stan, Aslantas, Cansu, Cetintemel, Ugur, Du, Jiang, Kraska, Tim, Maier, David, Tatbul Bitim, Emine Nesime, Madden, Samuel R, Stonebraker, Michael, Wang, Hao

    Published 2018
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  2. 2
    MDCC: multi-data center consistency

    MDCC: multi-data center consistency by Kraska, Tim, Pang, Gene, Franklin, Michael J., Madden, Samuel R., Fekete, Alan

    Published 2014
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  3. 3
    S-Store: a streaming NewSQL system for big velocity applications

    S-Store: a streaming NewSQL system for big velocity applications by Cetintemel, Ugur, Tufte, Kristin, Wang, Hao, Zdonik, Stanley, Du, Jiang, Kraska, Tim, Maier, David, Meehan, John, Pavlo, Andrew, Stonebraker, Michael, Sutherland, Erik, Madden, Samuel R., Tatbul Bitim, Emine Nesime

    Published 2016
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  4. 4
    BeeCluster: drone orchestration via predictive optimization

    BeeCluster: drone orchestration via predictive optimization by He, Songtao, Bastani, Favyen, Balasingam, Arjun, Gopalakrishna, Karthik, Jiang, Ziwen, Alizadeh Attar, Mohammadreza, Balakrishnan, Hari, Cafarella, Michael J, Kraska, Tim, Madden, Samuel R

    Published 2020
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  5. 5
    BeeCluster: drone orchestration via predictive optimization

    BeeCluster: drone orchestration via predictive optimization by He, Songtao, Bastani, Favyen, Balasingam, Arjun, Gopalakrishna, Karthik, Jiang, Ziwen, Alizadeh Attar, Mohammadreza, Balakrishnan, Hari, Cafarella, Michael J, Kraska, Tim, Madden, Samuel R

    Published 2022
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  6. 6
    Superneurons: dynamic GPU memory management for training deep neural networks

    Superneurons: dynamic GPU memory management for training deep neural networks by Wang, Linnan, Ye, Jinmian, Zhao, Yiyang, Wu, Wei, Li, Ang, Song, Shuaiwen Leon, Xu, Zenglin, Kraska, Tim

    Published 2021
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  7. 7
    Superneurons: dynamic GPU memory management for training deep neural networks

    Superneurons: dynamic GPU memory management for training deep neural networks by Wang, Linnan, Ye, Jinmian, Zhao, Yiyang, Wu, Wei, Li, Ang, Song, Shuaiwen Leon, Xu, Zenglin, Kraska, Tim

    Published 2022
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  8. 8
    The Case for Learned Index Structures

    The Case for Learned Index Structures by Kraska, Tim, Beutel, Alex, Chi, Ed H, Dean, Jeffrey, Polyzotis, Neoklis

    Published 2021
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  9. 9
    The Case for Learned Index Structures

    The Case for Learned Index Structures by Kraska, Tim, Beutel, Alex, Chi, Ed H, Dean, Jeffrey, Polyzotis, Neoklis

    Published 2022
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  10. 10
    Democratizing Data Science through Interactive Curation of ML Pipelines

    Democratizing Data Science through Interactive Curation of ML Pipelines by Shang, Zeyuan, Zgraggen, Emanuel, Buratti, Benedetto, Kossmann, Ferdinand, Eichmann, Philipp, Chung, Yeounoh, Binnig, Carsten, Upfal, Eli, Kraska, Tim

    Published 2021
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  11. 11
    Democratizing Data Science through Interactive Curation of ML Pipelines

    Democratizing Data Science through Interactive Curation of ML Pipelines by Shang, Zeyuan, Zgraggen, Emanuel, Buratti, Benedetto, Kossman, Ferdinand, Eichmann, Philipp, Chung, Yeounoh, Binnig, Carsten, Upfal, Eli, Kraska, Tim

    Published 2022
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  12. 12
    FITing-Tree: A Data-aware Index Structure

    FITing-Tree: A Data-aware Index Structure by Galakatos, Alex, Markovitch, Michael, Binnig, Carsten, Fonseca, Rodrigo, Kraska, Tim

    Published 2021
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  13. 13
    FITing-Tree: A Data-aware Index Structure

    FITing-Tree: A Data-aware Index Structure by Galakatos, Alex, Markovitch, Michael, Binnig, Carsten, Fonseca, Rodrigo, Kraska, Tim

    Published 2022
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  14. 14
    From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems

    From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems by Idreos, Stratos, Kraska, Tim

    Published 2021
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  15. 15
    From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems

    From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems by Idreos, Stratos, Kraska, Tim

    Published 2022
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  16. 16
    Sherlock: A Deep Learning Approach to Semantic Data Type Detection

    Sherlock: A Deep Learning Approach to Semantic Data Type Detection by Hulsebos, Madelon, Hu, Kevin, Bakker, Michiel, Zgraggen, Emanuel, Satyanarayan, Arvind, Kraska, Tim, Demiralp, Çagatay, Hidalgo, César

    Published 2021
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  17. 17
    Sherlock: A Deep Learning Approach to Semantic Data Type Detection

    Sherlock: A Deep Learning Approach to Semantic Data Type Detection by Hulsebos, Madelon, Hu, Kevin, Bakker, Michiel A, Zgraggen, Emanuel, Satyanarayan, Arvind, Kraska, Tim, Demiralp, Cagatay, Hidalgo, Cesar Augusto

    Published 2022
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  18. 18
    VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

    VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository by Hu, Kevin, Demiralp, Çağatay, Gaikwad, Snehalkumar 'Neil' S, Hulsebos, Madelon, Bakker, Michiel A, Zgraggen, Emanuel, Hidalgo, César, Kraska, Tim, Li, Guoliang, Satyanarayan, Arvind

    Published 2021
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  19. 19
    VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

    VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository by Hu, Kevin, Gaikwad, Snehalkumar "Neil" S., Hulsebos, Madelon, Bakker, Michiel A, Zgraggen, Emanuel, Hidalgo, Cesar Augusto, Kraska, Tim, Li, Guoliang, Satyanarayan, Arvind, Demiralp, Cagatay

    Published 2022
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  20. 20
    VizML: A Machine Learning Approach to Visualization Recommendation

    VizML: A Machine Learning Approach to Visualization Recommendation by Hu, Kevin, Bakker, Michiel A, Li, Stephen, Kraska, Tim, Hidalgo, César

    Published 2021
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