Profiling - 2023.1 English

The naive bayes design is validated on Alveo U200 board at 266 MHz frequency. The hardware resource utilizations are listed in the following table.

Table 39 Table 1 Hardware resources for naive bayes

Name	LUT	BRAM	URAM	DSP
Platform	185929	345	0	10
naiveBayesTrain_kernel	70058	114	256	467
User Budget	996311	1815	960	6830
Percentage	7.03%	6.28%	26.67%	6.84%

The performance is shown below.

This benchmark takes 0.519421ms to train 999 samples with 10 features, so it throughput is 73.37MB/s.