Two papers on OLTP accepted in the first round of submissions for ACM SIGMOD/PODS 2022 International Conference on Management of Data
Nils Boeschen and Matthias Jasny will present their work at the International Conference on Management of Data in 2022
Both papers propose new systems to accelerate OLTP workloads: “GaccO – A GPU-accelerated OLTP DBMS” uses GPUs to execute transactions of single-node DBMSs, while “P4DB – The Case for In-Network OLTP” offloads transaction execution of distributed DBMSs into programmable switches.
Our PhD Student Nadja Geisler was awarded the Best Student Presentation Award at DESIRES 2021
She got the award for her presentation on “Quest: A Query-driven Explanation Framework for Black-Box Classifiers on Tabular Data”
Three papers on Shared Tasks for NLIDBs, Explainable AI, and Interactive Text Exploration accepted to DESIRES 2021
Nadja Geisler and Benjamin Hättasch will present their work at the second conference on Design of Experimental Search & Information REtrieval Systems in Padova
The three papers are “Netted?! How to Improve the Usefulness of Spider & Co.”, “Quest: A Query-driven Explanation Framework for Black-Box Classifiers on Tabular Data”, and “WannaDB: Ad-hoc Structured Exploration of Text Collections Using Queries”.
Our Postdoc Manisha Luthra was awarded a Grace Hopper Scholarship
Benjamin Hilprecht has been nominated to present his work "Learned DBMS Components 2.0: From Workload-Driven to Zero-Shot Learning” at LADSIOS 2021
In this talk we present our vision to tackle the high costs and inflexibility of workload-driven learning.
Our extended abstract "ACID-V: Towards a new class of DBMSs for Data Sharing” was accepted to POLY 2021
We propose to extend the classical ACID properties with a new Verifiability component.
Our extended abstract "ASET: Ad-hoc Structured Exploration of Text Collections” was accepted to ADIB 2021
We propse a new way to explore textual contents in a structured way
Our short paper "GalOP – Towards a GPU-accelerated OLTP DBMS” was accepted to DaMoN 2021
In this paper, we propose a GPU-accelerated transaction processing system.
Our paper "ReStore – Neural Data Completion for Relational Databases” was accepted to SIGMOD 2021
In this paper, we propose a automated approach for relational data completion.
Our paper "Towards Learned Metadata Extraction for Data Lakes” was accepted to BTW 2021
In this paper, we analyze how will learned approaches can generalize to new unseen data in real-world data lakes.