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License: MIT License
Block-based Approximate Nearest Neighbor
License: MIT License
zilliz@vm1:~$ uname -a
Linux vm1 5.4.0-1055-azure #57~18.04.1-Ubuntu SMP Fri Jul 16 19:40:19 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
Linux Kernel 5.4.0 liburing is supported.
assignee: unknown
https://zilliverse.feishu.cn/docs/doccnE0osweJwlzmtM0DoDwUl7b#PNdSfm
Build Machine is a NUMA
If build time too long, then make build code NUMA-aware.
https://gitee.com/bianzheng123/nips-competition/tree/master/dataset-partition
Integrate this lib: https://github.com/KaHIP/KaHIP
Check here for the function signature:
https://github.com/PwzXxm/BigAnn/blob/e0524635d7e6c3041b8bd667fdc03a459708047f/include/ivf/clustering.h#L525
centroids
: the centroids of the vectors after clustering
assign
: the assignment (the corresponding cluster id or bucket id) of vectors in x_in
,
dists
: the distance to the centroids
Add commit to this branch:
https://github.com/PwzXxm/BigAnn/tree/graph-partition
https://github.com/PwzXxm/BigAnn/blob/master/CMakeLists.txt#L24
ETA: 09.23 16:00
hi
when i run the build script, billion-scale-benchmark image missed.
Would you please share the right image download address?
Thanks!
good job,
i am looking for some good ann algorithms and integration them to my graph framework.
i really want to LiYundi this project for free
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