Andrew Crotty

According to our database1, Andrew Crotty authored at least 26 papers between 2014 and 2023.

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Bibliography

2023
Database Gyms.
Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022
HybriDS: Cache-Conscious Concurrent Data Structures for Near-Memory Processing Architectures.
Proceedings of the SPAA '22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11, 2022

Mach: A Pluggable Metrics Storage Engine for the Age of Observability.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Are You Sure You Want to Use MMAP in Your Database Management System?
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021
Odlaw: A Tool for Retroactive GDPR Compliance.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

The Case for In-Memory OLAP on "Wimpy" Nodes.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Hist-Tree: Those Who Ignore It Are Doomed to Learn.
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020
DBPal: A Fully Pluggable NL2SQL Training Pipeline.
Proceedings of the 2020 International Conference on Management of Data, 2020

DeepSqueeze: Deep Semantic Compression for Tabular Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

Getting Swole: Generating Access-Aware Code with Predicate Pullups.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Code Generation for In-Memory Data Analytics.
PhD thesis, 2019

DBPal: Weak Supervision for Learning a Natural Language Interface to Databases.
CoRR, 2019

NullDB: Instantaneously Answering Any OLAP Query.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018
Distributed Machine Learning.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

2017
How Progressive Visualizations Affect Exploratory Analysis.
IEEE Trans. Vis. Comput. Graph., 2017

Revisiting Reuse for Approximate Query Processing.
Proc. VLDB Endow., 2017

Discrete Time Specifications In Temporal Queries.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017


2016
The End of Slow Networks: It's Time for a Redesign.
Proc. VLDB Endow., 2016

The case for interactive data exploration accelerators (IDEAs).
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016

2015
Vizdom: Interactive Analytics through Pen and Touch.
Proc. VLDB Endow., 2015

An Architecture for Compiling UDF-centric Workflows.
Proc. VLDB Endow., 2015

The End of Slow Networks: It's Time for a Redesign.
CoRR, 2015

Tupleware: "Big" Data, Big Analytics, Small Clusters.
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014
Tupleware: Distributed Machine Learning on Small Clusters.
IEEE Data Eng. Bull., 2014

Tupleware: Redefining Modern Analytics.
CoRR, 2014


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