Computer Science

Cancelled – Computer Science Seminar: Leilani Battle from MIT

Computer Science Seminar: Leilani Battle from MIT
Host: Xin Liu
When: Tuesday, April 11th at 3:10pm
Where: 1131 Kemper Hall
Behavior-Driven Optimizations for Big Data Exploration 
The physical and biological sciences are becoming more data driven, often due overwhelming quantities of data collected from satellites, telescopes, sequencers, and other sensors. One of the key issues for scientists who work with large datasets is efficient visualization of their data to extract patterns, observe anomalies, and debug their workflows. Though a variety of visualization tools exist to help people make sense of their data, these tools often rely on database management systems (or DBMSs) for data processing and storage; and unfortunately, DBMSs fail to process the data fast enough to support a fluid, interactive visualization experience.My work blends optimization techniques from databases and methodology from HCI and visualization in order to support interactive  and iterative exploration of large datasets. In this talk, I will discuss Sculpin, a visual exploration system that learns user exploration patterns automatically, and exploits these patterns to pre-fetch data ahead of users as they explore. I will show that Sculpin’s pre-fetching techniques provide significant performance benefits compared to existing systems. I will then discuss our ongoing work with Sculpin, which aims to avoid wasting computational resources, while still providing a fluid, interactive exploration experience for users. To do this, we combine data-prefetching with incremental data processing and visualization-focused caching optimizations, and incorporate these techniques in Sculpin to further boost performance.

Leilani Battle is a Computer Science Ph.D. candidate in the CSAIL Database Group at MIT, advised by Prof. Michael Stonebraker. Her research interests lie at the intersection of data management, user interface design, and visual analytics, with the aim of building intuitive and scalable database exploration tools. She was a National Science Foundation Graduate Fellow from 2011 to 2013. She obtained a M.S. from MIT in 2013, and a B.S. in Computer Engineering from the University of Washington in 2011.

1131 Kemper Hall

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