I proposed and improved a feature that compares millions of human faces to use GPU power, reducing the processing time from days to minutes.
Description
I recently made a breakthrough in the field of face recognition technology by migrating a feature that was previously limited to CPU to GPU processing. This refactoring has drastically reduced the time for comparing N faces with another set of N faces, shrinking the time from days to a few minutes.
To better understand the magnitude of this achievement, imagine comparing 10 million faces with another 10 million faces (a small dataset compared to our clients). This would require an astonishing 100 trillion comparisons! Before the refactoring, this task would have taken days to process on a CPU. Now, it can be completed in a few minutes.
This achievement was made possible through the utilization of cutting-edge technologies and optimization techniques, including: