CIDR 2024

January 14-17, 2024 Chaminade, USA

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CIDR 2024 Program

Get the program as calendar entries in HTML or iCal format.

The list of accepted papers is the following.

• Yellowbrick: An Elastic Data Warehouse on Kubernetes
  Mark A Cusack (Yellowbrick Data)*; John Adamson (Yellowbrick Data); Mark Brinicombe (Yellowbrick Data, Inc); Neil A Carson (Yellowbrick Data); Thomas Kejser (Yellowbrick); Jim Peterson (Yellowbrick); Arvind Vasudev (YB); Kurt Westerfeld (Yellowbrick Data); Robert Wipfel (Yellowbrick Data)
• Chablis: Fast and General Transactions in Geo-Distributed Systems
  Tamer Eldeeb (Columbia University)*; Philip Bernstein (Microsoft Research); Asaf Cidon (Columbia University); Junfeng Yang (Columbia University)
• VerifAI: Verified Generative AI
  Nan Tang (HKUST (GZ)); Chenyu Yang (HKUST(GZ)); Ju Fan (Renmin University of China)*; Lei Cao (University of Arizona/MIT); Yuyu Luo (HKUST (GZ)); Alon Y Halevy (Facebook)
• PandaDB: Performance Debugging using Autonomous Agents for Database Systems
  Vikramank Y Singh (Amazon)*; Kapil Vaidya (MIT); Vinayshekhar Bannihatti Kumar (Amazon); Sopan Khosla (AWS AI Labs); Balakrishnan Narayanaswamy (Amazon); Rashmi Gangadharaiah (AWS AI, Amazon); Tim Kraska (MIT)
• TracEx: Understanding and Analyzing Database Traces
  Dominik Durner (TUM)*; Lennart Espe (TU München); Jana Giceva (TU Munich); Anja Gruenheid (Microsoft)
• Dear User-Defined Functions, Inlining isn’t working out so great for us. Let’s try batching to make our relationship work. Sincerely, SQL
  Kai Franz (Carnegie Mellon University); Samuel I Arch (Carnegie Mellon University)*; Denis Hirn (Universität Tübingen); Torsten Grust (Universität Tübingen); Todd Mowry (Carnegie Mellon University); Andrew Pavlo (Carnegie Mellon University)
• CAESURA: Language Models as Multi-Modal Query Planners
  Matthias Urban (Technical University of Darmstadt)*; Carsten Binnig (TU Darmstadt)
• Off-the-shelf Data Analytics on Serverless
  Michal Wawrzoniak (ETHZ)*; Gianluca Moro (ETH Zurich); Rodrigo Bruno (Instituto Superior Técnico / INESC-ID Lisboa); Ana Klimovic (ETH Zurich); Gustavo Alonso (ETHZ)
• Serverless State Management Systems
  Tianyu Li (MIT CSAIL)*; Badrish Chandramouli (Microsoft Research); Sebastian C Burckhardt (Microsoft Research); Samuel Madden (MIT)
• A Model for Query Execution Over Heterogeneous Instances
  Ziheng Wang (Stanford)*; Emanuel Adamiak (Stanford); Alex Aiken (Stanford University)
• Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries
  Yifei Yang (University of Wisconsin, Madison)*; Hangdong Zhao (University of Wisconsin, Madison); Xiangyao Yu (University of Wisconsin-Madison); Paraschos Koutris (University of Wisconsin-Madison)
• Oligolithic Cross-task Optimizations across Isolated Workloads
  Eleni Zapridou (EPFL)*; Panagiotis Sioulas (EPFL); Anastasia Ailamaki (EPFL)
• Towards Resource-adaptive Query Execution in Cloud Native Databases
  Rui Liu (University of Chicago)*; Jun Hyuk Chang (University of Chicago); Riki Otaki (University of Chicago); Zhe Heng Eng (University of Chicago); Aaron J Elmore (University of Chicago); Michael Franklin (University of Chicago); Sanjay Krishnan (UChicago)
• Database Kernels: Seamless Integration of Database Systems and Fast Storage via CXL
  Sangjin Lee (University of Fribourg); Alberto Lerner (University of Friborug)*; Philippe Bonnet (IT Univ Copenhagen, Denmark); Philippe Cudre-Mauroux (Exascale Infolab, Fribourg University)
• Leopard: A General Test Suite for Isolation Level Verification
  Peiyuan Liu (East China Normal University)*; Siyang Weng (East China Normal University); Keqiang Li (East China Normal University); Lyu Ni (East China Normal University); Chengcheng Yang (East China Normal University); Rong Zhang (East China Normal University); Weining Qian (East China Normal University); Dian Qiao (Huawei)
• MotherDuck: DuckDB in the cloud and in the client
  RJ Atwal (MotherDuck); Peter Boncz (Centrum Wiskunde & Informatica)*; Ryan Boyd (Boyd); Antony Courtney (MotherDuck); Till Döhmen (University of Amsterdam); Florian Gerlinghoff (MotherDuck); Jeff Huang (MotherDuck); Joseph Hwang (MotherDuck); Raphael Hyde (MotherDuck); Elena Felder (MotherDuck); Jacob Lacouture (MotherDuck); Yves Le Maout (MotherDuck); Boaz Leskes (MotherDuck); Yao Liu (MotherDuck); Alex Monahan (MotherDuck); Dan Perkins (MotherDuck); Tino Tereshko (MotherDuck); Jordan Tigani (MotherDuck); Nick Ursa (MotherDuck); Stephanie Wang (MotherDuck); Yannick Welsch (MotherDuck)
• Optimizing the cloud? Don’t train models. Build oracles!
  Tiemo Bang (UC Berkeley)*; Conor Power (UC Berkeley); Siavash Ameli (University of California, Berkeley); Natacha Crooks (UC Berkeley); Joseph M Hellerstein (UC Berkeley)
• A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language
  Thomas Neumann (TUM); Viktor Leis (Technische Universität München)*
• The Fast and the Private: Task-based Dataset Search
  Zezhou Huang (Columbia University)*; Jiaxiang Liu (Columbia University); Haonan Wang (Columbia); Eugene Wu (Columbia University)
• Program your (custom) SIMD instruction set on FPGA in C++
  Johannes Pietrzyk (TU Dresden)*; Alexander Krause (TU Dresden); Christian Faerber (Intel Corporation); Dirk Habich (TU Dresden); Wolfgang Lehner (TU Dresden)
• Taking the Shortcut: Actively Incorporating the Virtual Memory Index of the OS to Hardware-Accelerate Databases Indexing
  Felix M Schuhknecht (Johannes Gutenberg University Mainz)*
• Scalable OLTP in the Cloud: What's the BIG DEAL?
  Pat Helland (Salesforce)*
• Is Perfect Hashing Practical for OLAP Systems?
  Kevin P Gaffney (University of Wisconsin-Madison)*; Jignesh Patel (Carnegie Mellon University)
• Towards an Objective Metric for Data Value Through Relevance
  Boris Glavic (Illinois Institute of Technology)*; Pengyuan Li (Illinois institute of thechnology); Ziyu Liu (Illinois institute of thechnology); Dieter Gawlick (Oracle); Vasudha Krishnaswamy (Oracle, USA); Danica Porobic (Oracle); Zhen Hua Liu (Oracle)
• Revisiting Prompt Engineering via Declarative Crowdsourcing
  Aditya Parameswaran (University of California, Berkeley)*; Shreya Shankar (University of California Berkeley); Parth Asawa (UC Berkeley); Naman Jain (UC Berkeley); Yujie Wang (UC Berkeley)
• The Tipping Point of Edge-Cloud Data Management
  Faisal Nawab (University of California at Irvine)*; Moshe Shadmon (AnyLog)
• SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions
  Yin Lin (University of Michigan)*; Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); H. V. Jagadish (University of Michigan); Jingren Zhou (Alibaba Group)
• NL2SQL is a solved problem... Not!
  Avrilia Floratou (Microsoft)*; Fotis Psallidas (Microsoft); Fuheng Zhao (Microsoft); Shaleen Deep (Microsoft Gray Systems Lab); Gunther Hagleither (Waii); Wangda Tan (Waii); Joyce Cahoon (Microsoft); Rana Alotaibi (Microsoft); Jordan Henkel (Microsoft); Abhik Singla (Microsoft); Alex Van Grootel (Microsoft); Brandon Chow (Microsoft); Kai Deng (Microsoft); Katherine Lin (Microsoft); Marcos Campos (Microsoft); Venkatesh Emani (Microsoft); Vivek Pandit (Microsoft); Victor Shnayder (Microsoft); Wenjing Wang (Microsoft); Carlo Curino (Microsoft -- GSL)
• Cost-Intelligent Data Analytics in the Cloud
  Huanchen Zhang (Tsinghua University)*; Yihao Liu (Tsinghua University); Jiaqi Yan (Snowflake)
• Welding Natural Language Queries to Analytics IRs with LLMs
  Kaushik Rajan (Microsoft Research)*; Aseem Rastogi (Microsoft); Akash Lal (Microsoft Research); Sampath Rajendra (Microsoft); Krithika Subramanian (Microsoft); Krut Patel (Microsoft)
• Turning Databases Into Generative AI Machines
  Alekh Jindal (SmartApps)*; Shi Qiao (SmartApps Inc); Sathwik Madhula (SmartApps); Kanupriya Raheja (SmartApps); Sandhya Jain (SmartApps)

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