T3: NVIDIA Single GPU (cuanns_ivfpq)

[anaruse]

This is a submission of the NVIDIA team for single GPU in T3 track. After the built index upload is complete, we will update instructions on how to download the index files.

[sourcesync]

@anaruse. OK, we synced over the new config and re-ran the evaluation. Please verify the following:

https://github.com/harsha-simhadri/big-ann-benchmarks/blob/gw/T3/t3/cuanns_ivfpq/algos.yaml

https://github.com/harsha-simhadri/big-ann-benchmarks/blob/gw/T3/t3/eval_2021/cuanns_ivfpq/EvalPublic.ipynb

[sourcesync]

@anaruse OK, we synced your new algos yaml and reran. It looks like a slight improvement to text2image-1B. Please verify the config and results notebook below:

https://github.com/harsha-simhadri/big-ann-benchmarks/blob/gw/T3/t3/cuanns_ivfpq/algos.yaml

https://github.com/harsha-simhadri/big-ann-benchmarks/blob/gw/T3/t3/eval_2021/cuanns_ivfpq/EvalPublic.ipynb

[anaruse]

Thank you for re-running it. I've checked the config and the results. It looks good to me!

[sourcesync]

@anaruse Great.

[sourcesync]

@anaruse OK, we re-evaluated your submission. The "anomaly" count was reduced successfully from 7 to 5. Thanks.

Can you verify the following?

new config we synced:

https://github.com/harsha-simhadri/big-ann-benchmarks/blob/gw/T3/t3/cuanns_ivfpq/algos.yaml

eval notebook - https://github.com/harsha-simhadri/big-ann-benchmarks/blob/gw/T3/t3/eval_2021/cuanns_ivfpq/EvalPublic.ipynb

Thanks!