Conferences / CIDR (Conference on Innovative Data Systems Research)
CIDR 2024
Jan 14–17, 2024 · Chaminade Resort & Spa, Santa Cruz, CA, United States
- Conference
- CIDR (Conference on Innovative Data Systems Research) Academic
- Dates
- Jan 14, 2024 – Jan 17, 2024
- Venue
- Chaminade Resort & Spa
- Place
- Santa Cruz, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- cidrdb.org
- Recorded
- 8 sponsors · 33 speaker appearances
- Notes
- Speakers: every paper in the program, with the first listed author as speaker (presenting authors are not identified; CIDR tradition is that senior authors present). paper_url holds the paper PDF on cidrdb.org; slides_url only where the program links real slides. Conference fee was paid on Eventbrite but the amount is not stated on the site; Chaminade room rates (incl. meals) were $1242.21 single and $884.40 shared per person.
Ticket prices
No ticket prices recorded
Sponsors 8
Other 8
- Amazon Web Services · Sponsor (CIDR Foundation multi-year sponsor)
- Databricks · Sponsor (CIDR Foundation multi-year sponsor)
- Google · Sponsor (CIDR Foundation multi-year sponsor)
- Meta · Sponsor (CIDR Foundation multi-year sponsor)
- Microsoft · Sponsor (CIDR Foundation multi-year sponsor)
- Oracle · Sponsor (CIDR Foundation multi-year sponsor)
- SAP · Sponsor (CIDR Foundation multi-year sponsor)
- Snowflake · Sponsor (CIDR Foundation multi-year sponsor)
Speakers and talks 33
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Alexandra Fedorova | UBC | Keynote | Processing-in-memory: A Retrospective from a Real-World Product Experience | — |
| James Hamilton | Amazon Web Services | Keynote | Constraint-Driven Innovation | — |
| Aditya Parameswaran | University of California, Berkeley | Paper | Revisiting Prompt Engineering via Declarative Crowdsourcing | Paper |
| Alekh Jindal | SmartApps | Paper | Turning Databases Into Generative AI Machines | Paper |
| Avrilia Floratou | Microsoft | Paper | NL2SQL is a solved problem... Not! | Paper |
| Boris Glavic | Illinois Institute of Technology | Paper | Towards an Objective Metric for Data Value Through Relevance | Paper |
| Dominik Durner | TUM | Paper | TracEx: Understanding and Analyzing Database Traces | Paper |
| Eleni Zapridou | EPFL | Paper | Oligolithic Cross-task Optimizations across Isolated Workloads | Paper |
| Faisal Nawab | University of California at Irvine | Paper | The Tipping Point of Edge-Cloud Data Management | Paper |
| Felix M Schuhknecht | Johannes Gutenberg University Mainz | Paper | Taking the Shortcut: Actively Incorporating the Virtual Memory Index of the OS to Hardware-Accelerate Databases Indexing | Paper |
| Huanchen Zhang | Tsinghua University | Paper | Cost-Intelligent Data Analytics in the Cloud | Paper |
| Johannes Pietrzyk | TU Dresden | Paper | Program your (custom) SIMD instruction set on FPGA in C++ | Paper |
| Kai Franz | Carnegie Mellon University | Paper | Dear User-Defined Functions, Inlining isn’t working out so great for us. Let’s try batching to make our relationship work. Sincerely, SQL | Paper |
| Kaushik Rajan | Microsoft | Paper | Welding Natural Language Queries to Analytics IRs with LLMs | Paper |
| Kevin P Gaffney | University of Washington | Paper | Is Perfect Hashing Practical for OLAP Systems? | Paper |
| Mark A Cusack | Yellowbrick | Paper | Yellowbrick: An Elastic Data Warehouse on Kubernetes | Paper |
| Matthias Urban | Technical University of Darmstadt | Paper | CAESURA: Language Models as Multi-Modal Query Planners | Paper |
| Michal Wawrzoniak | ETHZ | Paper | Off-the-shelf Data Analytics on Serverless | Paper |
| Nan Tang | HKUST, GZ | Paper | VerifAI: Verified Generative AI | SlidesVideoPaper |
| Pat Helland | Salesforce | Paper | Scalable OLTP in the Cloud: What's the BIG DEAL? | Paper |
| Peiyuan Liu | East China Normal University | Paper | Leopard: A General Test Suite for Isolation Level Verification | Paper |
| RJ Atwal | MotherDuck | Paper | MotherDuck: DuckDB in the cloud and in the client | Paper |
| Rui Liu | University of Washington | Paper | Towards Resource-adaptive Query Execution in Cloud Native Databases | Paper |
| Sangjin Lee | University of Washington | Paper | Database Kernels: Seamless Integration of Database Systems and Fast Storage via CXL | Paper |
| Tamer Eldeeb | Columbia University | Paper | Chablis: Fast and General Transactions in Geo-Distributed Systems | Paper |
| Thomas Neumann | TUM | Paper | A Critique of Modern SQL and a Proposal Towards a Simple and Expressive Query Language | Paper |
| Tianyu Li | MIT | Paper | Serverless State Management Systems | Paper |
| Tiemo Bang | UC Berkeley | Paper | Optimizing the cloud? Don’t train models. Build oracles! | Paper |
| Vikramank Y Singh | Amazon Web Services | Paper | Panda: Performance Debugging for Databases using LLM Agents | Paper |
| Yifei Yang | University of Washington | Paper | Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries | Paper |
| Yin Lin | University of Washington | Paper | SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions | Paper |
| Zezhou Huang | Columbia University | Paper | The Fast and the Private: Task-based Dataset Search | Paper |
| Ziheng Wang | Stanford University | Paper | A Model for Query Execution Over Heterogeneous Instances | Paper |