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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Vydané v:	2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) s. 368 - 381
Hlavní autori:	Wang, Yitu, Li, Shiyu, Zheng, Qilin, Song, Linghao, Li, Zongwang, Chang, Andrew, Li, Hai lHelenr, Chen, Yiran
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 29.06.2024
Predmet:	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
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