January 11-15, 2021 Virtual Event
Interference-aware Micro-architectural Resource Manager for Hybrid Workloads Utku Sirin (EPFL)*; Sandhya Dwarkadas (University of Rochester); Anastasia Ailamaki (EPFL) |
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White-Box OLAP Performance Modeling for the Cloud Maximilian Kuschewski (Uni Augsburg, LMU, TUM); Viktor Leis (Friedrich Schiller University Jena)* |
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The Need for a New I/O Model Tarikul Islam Papon (Boston University); Manos Athanassoulis (Boston University)* |
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Using Deep Learning Models to Replace Large Materialized Views in Relational Database Jia Zou (Arizona State University) |
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Hamming Tree: The Case for Memory-Aware Bit Flipping Reduction for NVM Indexing Saeed Kargar (UCSC); Faisal Nawab (UC Santa Cruz)* |
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Automating State Management in Computational Notebooks Stephen Macke (University of Illinois at Urbana-Champaign)* |
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Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series Suman Karumuri (Slack); Franco Solleza (Brown University); Stan Zdonik (Brown University); Nesime Tatbul (Intel Labs and MIT)* |
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Data Cleaning in the Era of Data Science: Challenges and Opportunities El Kindi Rezig (MIT) |
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DataSense: Display-Agnostic Data Documentation Poonam Kumari (Buffalo)*; Mike Brachmann (Buffalo); Su Feng (Illinois Institute of Technology); Oliver A Kennedy (University at Buffalo, SUNY); Boris Glavic (Illinois Institute of Technology) |
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Scaling Data Science does not mean Scaling Machines Devin Petersohn (UC Berkeley)* |
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Accelerating Queries over Unstructured Data with ML Daniel Kang (Stanford University) |