JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping

Author:

Liu Zihan12ORCID,Ni Wentao1ORCID,Leng Jingwen12ORCID,Feng Yu3ORCID,Guo Cong12ORCID,Chen Quan1ORCID,Li Chao12ORCID,Guo Minyi12ORCID,Zhu Yuhao3ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Shanghai Qi Zhi Institute, Shanghai, China

3. University of Rochester, Rochester, United States of America

Funder

National Key R&D Program of China

National Natural Science Foundation of China (NSFC)

Publisher

ACM

Reference78 articles.

1. Accelerated Approximate Nearest Neighbors Search Through Hierarchical Product Quantization

2. Oron Ashual, Shelly Sheynin, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, and Yaniv Taigman. Knn-diffusion: Image generation via large-scale retrieval. CoRR, abs/2204.02849, 2022.

3. Additive Quantization for Extreme Vector Compression

4. Artem Babenko and Victor S. Lempitsky. Efficient indexing of billion-scale datasets of deep descriptors. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016. IEEE Computer Society, 2016.

5. Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, and Ulrich Paquet. Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces. In Alfred Kobsa, Michelle X. Zhou, Martin Ester, and Yehuda Koren, editors, Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014. ACM, 2014.

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