Paper Presentations
Dec 16, 2025
A collection of presentations I've prepared for paper reading sessions, covering topics in database optimization and machine learning systems.
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
A structured pruning approach for LLMs that achieves dimension-independent compression. Covers the DISP framework, pruning strategies, and efficiency-accuracy tradeoffs.
Optimizing Queries Using Materialized Views
A practical, scalable solution for query optimization using materialized views. Covers view matching algorithms, cost-based optimization, and real-world implementation considerations.
Cache-Efficient Top-k Aggregation
Techniques for efficient top-k aggregation over high cardinality datasets. Explores cache-aware algorithms, memory hierarchy optimization, and performance benchmarks.