4 citations · 7 across the 5 of their papers we have counts for
5 papers
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility
Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park
In machine learning (ML), Python serves as a convenient abstraction for working with key libraries such as PyTorch, scikit-learn, and others. Unlike DBMS, however, Python applicati…
S/C: Speeding up Data Materialization with Bounded Memory
Zhaoheng Li, Xinyu Pi, Yongjoo Park
With data pipeline tools and the expressiveness of SQL, managing interdependent materialized views (MVs) are becoming increasingly easy. These MVs are updated repeatedly upon new d…
A Step Toward Deep Online Aggregation (Extended Version)
Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda +3
For exploratory data analysis, it is often desirable to know what answers you are likely to get before actually obtaining those answers. This can potentially be achieved by designi…
Automatically Finding Optimal Index Structure
Supawit Chockchowwat, Wenjie Liu, Yongjoo Park
Existing learned indexes (e.g., RMI, ALEX, PGM) optimize the internal regressor of each node, not the overall structure such as index height, the size of each layer, etc. In this p…
Airphant: Cloud-oriented Document Indexing
Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park
Modern data warehouses can scale compute nodes independently of storage. These systems persist their data on cloud storage, which is always available and cost-efficient. Ad-hoc com…