4 papers · 1 filter
RSR-core: A High-Performance Engine for Low-Bit Matrix-Vector Multiplication
Mohsen Dehghankar, Abolfazl Asudeh
Matrix-vector multiplication is a fundamental building block in neural networks, vector databases, and large language models, particularly during inference. As a result, efficient…
Random-Access Ranked Retrieval and Similarity Search
Mohsen Dehghankar, Abolfazl Asudeh, Raghav Mittal +2
We extend Random Access, a fundamental operation that enables efficient search and exploration algorithms, to the modern interactive data systems based on Ranked Retrieval and Simi…
On Fair Epsilon Net and Geometric Hitting Set
Mohsen Dehghankar, Stavros Sintos, Abolfazl Asudeh
Fairness has emerged as a formidable challenge in data-driven decisions. Many of the data problems, such as creating compact data summaries for approximate query processing, can be…
HENN: A Hierarchical Epsilon Net Navigation Graph for Approximate Nearest Neighbor Search
Mohsen Dehghankar, Abolfazl Asudeh
Hierarchical graph-based algorithms such as HNSW have achieved state-of-the-art performance for Approximate Nearest Neighbor (ANN) search in practice, yet they often lack theoretic…