NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing

Approximate nearest neighbor search (ANNS) is a key retrieval technique for vector database and many data center applications, such as person re-identification and recommendation systems. It is also fundamental to retrieval augmented generation (RAG) for large language models (LLM) now. Among all th...

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Bibliographic Details

Published in:	2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) pp. 368 - 381
Main Authors:	Wang, Yitu, Li, Shiyu, Zheng, Qilin, Song, Linghao, Li, Zongwang, Chang, Andrew, Li, Hai lHelenr, Chen, Yiran
Format:	Conference Proceeding
Language:	English
Published:	IEEE 29.06.2024
Subjects:	Approximate Nearest Neighbor Search Bandwidth Computational modeling Graphics processing units Hardware/Software Co-Design Memory management Near Data Processing Nearest neighbor methods Parallel processing Throughput
Online Access:	Get full text
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