We propose CXL-ANNS, a software-hardware collaborative approach to enable highly
scalable approximate nearest neighbor search (ANNS) services. To this end, we first …

Approximate Nearest Neighbor Search (ANNS) plays a critical role in various disciplines
spanning data mining and artificial intelligence, from information retrieval and computer …

Approximate nearest neighbor (ANN) search is a fundamental search in multi-dimensional
databases, which has numerous real-world applications, such as image retrieval …

Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has
become increasingly crucial in database and machine learning applications. Most previous …

Approximate nearest neighbor search on high-dimensional vectors is a crucial component
for numerous applications in various fields. To solve this problem efficiently, dozens of …

Proximity graphs (PG) have gained increasing popularity as the state-of-the-art (SOTA)
solutions to $ k $-approximate nearest neighbor ($ k $-ANN) search on high-dimensional …

We propose CXL-ANNS, a software-hardware collaborative approach to enable scalable
approximate nearest neighbor search (ANNS) services. To this end, we first disaggregate …

Similarity search, the task of identifying objects most similar to a given query object under a
specific metric, has gathered significant attention due to its practical applications. However …

The 𝑘-Nearest-Neighbor-Search problem is to find the 𝑘 nearest data points to a given
query point in a multidimensional dataset. As the dimensionality increases, exact search …

Graph is widely utilized as a key data structure in many applications, such as social network
and recommendation systems. However, many real-world graphs are constructed with large …