Acceleration of Hyperspectral Skin Cancer Image Classification through Parallel Machine-Learning Methods

. 2024 Feb 21;24(5):1399. doi: 10.3390/s24051399

Code 1 Sequential Addressing Reduction

Input:

t i d, e, b

→ indexes of the threads and blocks

n c l

→ number of classes
1:

i n t t i d = t h r e a d I d x . x;

__s h a r e d__f l o a t S [512];

i n t e = b l o c k I d x . x * b l o c k D i m . x + t h r e a d I d x . x;

i n t b = b l o c k I d x . y;

5: if (

t i d

< n_estimators)
6:

S [t i d] = Z [e * n c l + b];

__s y n c t h r e a d s ();

f o r (s = b l o c k D i m . x / 2; s > 0; s ≫ = 1) {

9: if (

t i d

< s)
10:

S [t i d] + = S [t i d + s];

11:

__s y n c t h r e a d s ();

12:}
Output:

S