[DBWorld] SIGMOD 2021 Best Paper Awards

We are delighted to announce the ACM SIGMOD 2021 Best Paper Awards.

New for this year, instead of choosing a single best paper award, we selected >1 best papers and honorable mentions. In addition, we selected best papers across all major tracks: data management, data science, and industry.

The winners are as follows:


Data Management: Best Papers

1) Bao: Making Learned Query Optimization Practical. 
Ryan Marcus (MIT & Intel Labs), Parimarjan (MIT), Hongzi Mao (MIT), Nesime Tatbul (MIT & Intel Labs), Mohammad Alizadeh (MIT), Tim Kraska (MIT)

2) DFI: The data flow interface for high-speed networks. 
Lasse Thostrup (TU Darmstadt), Jan Skrzypczak (Zuse Institute), Matthias Jasny (TU Darmstadt), Tobias Ziegler (TU Darmstadt), Carsten Binnig (TU Darmstadt) 


Data Science: Best Paper

SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging. 
Svetlana Sagadeeva (Graz University of Technology), Matthias Boehm (Graz University of Technology)


Industry: Best Paper

FoundationDB: A Distributed Unbundled Transactional KeyValue Store
Jingyu Zhou (Apple), Meng Xu (Apple), Alexander Shraer (Apple), Alex Miller (Apple), Bala Namasivayam (Apple), Evan Tschannen (Apple), Rusty Sears (Apple), John Leach (Apple), Dave Rosenthal (Apple), Will Wilson (antithesis.com), Ben Collins (antithesis.com), David Scherer (antithesis.com), Steve Atherton (Apple), Andrew Beamon (Apple), Xin Dong (Apple), Alec Grieser (Apple), Young Liu (Apple), Alvin Moore (Apple), Bhaskar Muppana (Apple), Xiaoge Su (Apple), Vishesh Yadav (Apple) 


Data Management: Honorable Mentions

1) JSON Tiles: Fast Analytics on Semi-Structured Data.
Dominik Durner (Technische Universität München), Viktor Leis (Friedrich-Schiller-Universität Jena), Thomas Neumann (Technische Universität München)

2) To Partition, or Not to Partition: That is the Join Question in a Real System.
Maximilian Bandle (Technische Universität München), Jana Giceva (Technische Universität München), Thomas Neumann (Technische Universität München)

3) Rethink the Scan in MVCC Databases.
Jongbin Kim (Hanyang University), Kihwang Kim (Hanging University), Hyunsoo Cho (Hanyang University), Jaeseon Yu (Hanyang University), Sooyong Kang (Hanyang University), Hyungsoo Jung (Hanyang University)


Industry: Honorable Mention

Steering Query Optimizers: A Practical Take on Big Data Workloads.
Parimarjan Negi (MIT CSAIL), Matteo Interlandi (Microsoft), Ryan Marcus (MIT CSAIL), Mohammad Alizadeh (MIT), Tim Kraska (MIT),  Marc Friedman (Microsoft),  Alekh Jindal (Microsoft) 


Congratulations to everyone!!!

Best Paper Awards Committee

Dennis Shasha, Stratos Idreos, Divesh Srivastava, Anastasia Ailamaki, Fatma Ozcan

 
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