The competition will use several representative billion-scale datasets -- many newly released for this competition -- with their associated accuracy metrics. There are three tracks depending on hardware settings:
(T1) limited memory
(T2) limited main memory + SSD
(T3) any hardware configuration including accelerators and custom silicon.
With this competition, we hope to develop an understanding of the ideas that apply at a billion-point scale, bridge communities that work on ANNS problems, and provide a platform for newer researchers to contribute and develop this relatively new research area.
For more details about the competition, procedures and organizers, please see: big-ann-benchmarks.com and also watch for updates on https://medium.com/big-ann-benchmarks.
Dear N2 team
I am reaching out to you on behalf of the organizers of the NeurIPS’21 competition on Billion-Scale Approximate Nearest Neighbor Search Challenge to request your participation.
The competition will use several representative billion-scale datasets -- many newly released for this competition -- with their associated accuracy metrics. There are three tracks depending on hardware settings: (T1) limited memory (T2) limited main memory + SSD (T3) any hardware configuration including accelerators and custom silicon.
With this competition, we hope to develop an understanding of the ideas that apply at a billion-point scale, bridge communities that work on ANNS problems, and provide a platform for newer researchers to contribute and develop this relatively new research area.
For more details about the competition, procedures and organizers, please see: big-ann-benchmarks.com and also watch for updates on https://medium.com/big-ann-benchmarks.