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[회고] 23년 11,12월 / 24년 1월

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Pangyoalto

Feb 12, 2024 • 5 min read
[회고] 23년 11,12월 / 24년 1월
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[Paper review] Vector Compression Method for HNSW – Flash

[Paper review] Vector Compression Method for HNSW – Flash

This post reviews the paper Accelerating Graph Indexing for ANNS on Modern CPUs. To fully understand this paper, familiarity with HNSW and Product Quantization is helpful. HNSW is the most widely used algorithm for vector search. Since the HNSW paper was published in 2016, it has now been in use
Sep 1, 2025 15 min read
[논문 리뷰] HNSW를 위한 벡터 압축 방식 - Flash

[논문 리뷰] HNSW를 위한 벡터 압축 방식 - Flash

이 글은 논문 Accelerating Graph Indexing for ANNS on Modern CPUs 을 리뷰합니다. 이번 논문은 HNSW 및 Product Quantization을 알고 있어야 이해하기 편합니다. 블로그에서 이미 다룬 적이 있으니, 익숙하지 않으신 분들은 아래 글을 먼저 읽고 오시는 것을 추천합니다. 벡터 검색 알고리즘 살펴보기(1): Similarity Search와 HNSW벡터 검색 알고리즘 살펴보기(2)
Aug 4, 2025 27 min read
[Paper review] Databases in the Era of Memory-Centric Computing

[Paper review] Databases in the Era of Memory-Centric Computing

Compared to the rapid advancement of CPU performance, the growth rate of memory capacity has been steadily slowing down. Stemming from this issue, Databases in the Era of Memory-Centric Computing proposes an architecture aimed at efficiently utilizing memory, which has become increasingly expensive relative to other system components. The paper
Jul 13, 2025 11 min read
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