@MSFTResearch: Honorable Mention: Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, an…

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Microsoft Research's paper on scalable GPU acceleration for scalar functions in analytical databases received an honorable mention at VLDB 2026, showcasing advancements in compilation and optimization techniques.

Honorable Mention: Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization Analytical databases support hundreds of scalar functions that often become query bottlenecks. This work introduces a compiler-based approach that translates production database scalar functions into efficient GPU kernels while preserving their original semantics, enabling substantial performance gains for analytical workloads. https://msft.it/6014aTYVo
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Honorable Mention: Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization Analytical databases support hundreds of scalar functions that often become query bottlenecks. This work introduces a compiler-based approach that translates production database scalar functions into efficient GPU kernels while preserving their original semantics, enabling substantial performance gains for analytical workloads. https://msft.it/6014aTYVo


VLDB 2026 | Conference Awards

Source: https://vldb.org/2026/conference-awards.html

Best Research Paper

Garnet: A Next-Generation Cache-Store for Accelerating Applications and Services

Badrish Chandramouli, Vasileios Zois, Ted Hart, Tal Zaccai, Lukas Maas, Yoganand Rajasekaran, Darren Gehring

PVLDB article (PDF)

Best Research Paper Honorable Mention

Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization

Kaushik Rajan, Sampath Rajendra, Momin Al-Ghosien, Nicolas Bruno, Carlo Curino, Matteo Interlandi, Yinan Li, Lukas M. Maas, Craig Peeper, Surajit Chaudhuri, Johannes Gehrke

PVLDB article (PDF)

How to Write to SSDs

PVLDB article (PDF)

Demystifying and Improving Lazy Promotion in Cache Eviction (EA&B)

Qinghan Chen, Muhammad Haekal Muhyidin Al-Araby, Ziyue Qiu, Zhuofan Chen, Rashmi Vinayak, Juncheng Yang

PVLDB article (PDF)

Best Industry Paper

OmniTable: A Unified Wide-Table System for Petabyte-Scale LLM Data Curation and Exploration

Yuzhuo Fu, Xiangchun Wang, Chao Huang, Liyi Wang, Binwei Zeng, Yuhan Wang, Taotao Nie, Dongke Hu, Wang Hong, Jiayi Wang, Wenwen Cui, Zhuyan Zhou, Yushun Guo, Yuhan Xing, Jiaxin Lian, Peng Lin, Qing Cui, Wenhui Shi

PVLDB article (PDF)

Best Industry Paper Honorable Mention

FastCompose: Eliminating Compilation Cold Starts in Query Execution with Composition

Venkatraman Govindaraju, Yankun Shen, Kiran Chinta, Shermal Fernando, Pascal Pfeil, Orestis Polychroniou, Naresh Chainani

PVLDB article (PDF)

Distinguished Associate Editors

  • Semih Salihoglu
  • Sourav S Bhowmick
  • Kunsoo Park
  • Katja Hose
  • Shimin Chen
  • Jana Giceva
  • Kyuseok Shim
  • Zhifeng Bao
  • Wook-Shin Han
  • Sudipto Das
  • Jianliang Xu
  • Antonis Deligiannakis
  • Alkis Simitsis
  • Sibo Wang
  • Ashraf Aboulnaga
  • Elena Ferrari
  • Jian Pei
  • Raymond Chi-Wing Wong
  • Yannis Velegrakis
  • Anh Dinh
  • Bogdan Cautis
  • Zi Huang
  • Steven Whang

Distinguished Reviewers

  • Ergute Bao
  • Hyunjoon Kim
  • Jiwon Seo
  • John Paparrizos
  • Makoto Onizuka
  • Markos Markakis
  • Matthias Weidlich
  • Patrick Schäfer
  • Rainer Gemulla
  • Sebastian Link
  • Surajit Chaudhuri
  • Theodoros Chondrogiannis
  • Thomas Neumann
  • Ulf Leser
  • Wang-Chien Lee
  • Xiaofei Zhang
  • Yuan Qiu
  • Alberto Sonnino
  • Amarnadh Sai Eluri
  • Andreas Züfle
  • Baihua Zheng
  • Bojan Karlaš
  • Christos Koutras
  • Dominik Durner
  • Francesco Gullo
  • George Papadakis
  • Hyungsoo Jung
  • Jeeta Ann Chacko
  • Lucas Braun
  • Manuel Rigger
  • Oktie Hassanzadeh
  • Oliver Kennedy
  • Patrick Damme
  • Paul Boniol
  • Rihan Hai
  • Shantanu Sharma
  • Søren Kejser Jensen
  • Tenindra Abeywickrama
  • Venkata Vamsikrishna Meduri
  • Zhuoyue Zhao

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