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07/01/2023
JoinBoost: Grow Trees Over Normalized Data Using Only SQL
Although dominant for tabular data, ML libraries that train tree models ...
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04/07/2023
Runtime Variation in Big Data Analytics
The dynamic nature of resource allocation and runtime conditions on Clou...
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02/01/2023
Revisiting Query Performance in GPU Database Systems
GPUs offer massive compute parallelism and high-bandwidth memory accesse...
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11/04/2022
The Tensor Data Platform: Towards an AI-centric Database System
Database engines have historically absorbed many of the innovations in d...
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05/31/2022
End-to-end Optimization of Machine Learning Prediction Queries
Prediction queries are widely used across industries to perform advanced...
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03/03/2022
Query Processing on Tensor Computation Runtimes
The huge demand for computation in artificial intelligence (AI) is drivi...
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01/15/2022
Calipers: A Criticality-aware Framework for Modeling Processor Performance
Computer architecture design space is vast and complex. Tools are needed...
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12/16/2021
Predictive Price-Performance Optimization for Serverless Query Processing
We present an efficient, parametric modeling framework for predictive re...
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07/19/2021
Optimal Resource Allocation for Serverless Queries
Optimizing resource allocation for analytical workloads is vital for red...
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05/18/2020
A Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism
There is a large body of recent work applying machine learning (ML) tech...
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05/15/2020
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS
Non-volatile memory (NVM) is an emerging technology, which has the persi...
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11/01/2019
Extending Relational Query Processing with ML Inference
The broadening adoption of machine learning in the enterprise is increas...
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08/30/2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
Machine learning (ML) has proven itself in high-value web applications s...
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04/10/2017