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10/30/2021
Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates
The Join Order Benchmark (JOB) has become the de facto standard to asses...
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10/13/2021
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers
Motivated by extreme multi-label classification applications, we conside...
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02/04/2021
Online Sketch-based Query Optimization
Cost-based query optimization remains a critical task in relational data...
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05/22/2020
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models
In this paper, we present a cost-based approach for the automatic select...
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04/19/2020
Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms
The widely-adopted practice is to train deep learning models with specia...
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07/17/2019
In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB)
In this study, we present the first results of a complete implementation...
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01/06/2019
Exact Selectivity Computation for Modern In-Memory Database Query Optimization
Selectivity estimation remains a critical task in query optimization eve...
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12/19/2018
Progressive Data Science: Potential and Challenges
Data science requires time-consuming iterative manual activities. In par...
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03/16/2018
Distributed Caching for Complex Querying of Raw Arrays
As applications continue to generate multi-dimensional data at exponenti...
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02/24/2018