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Considering sizeof(Data_t) = 4 for standard cases such as fp32, and considering a shared memory size of 48KB, this restricts the dataset dimension to be smaller than 12000.
It would be nice to have such features for datasets with large dimensions (> 20000), which is the case for single cell RNA datasets (e.g. datasets here).
The text was updated successfully, but these errors were encountered:
Description
Currently,
GNND::build()
has apreprocess_data_kernel
, which requires shared memory size of;Considering
sizeof(Data_t) = 4
for standard cases such as fp32, and considering a shared memory size of 48KB, this restricts the dataset dimension to be smaller than 12000.It would be nice to have such features for datasets with large dimensions (> 20000), which is the case for single cell RNA datasets (e.g. datasets here).
The text was updated successfully, but these errors were encountered: