Research Article
PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture
Algorithm 4
Parallel optimized matrix multiplication with its transpose algorithm [
27].
Input: Matrix input | Output: Matrix result | (1) for i from 0 to input_Rows | (2) for j from 0 to input_Columns | (3) Calculate Diagonal Value: result [i,i] += (input[i,j] × input[i,j]); | (4) endfor | (5) endfor | (6) c=0, b=0; | (7) for i from 1 to input_Rows | (8) repeat | (9) Calculate Non-Diagonal Value: result [i,c] += (input[i,b] × input[c,b]); | (10) b++; | (11) if (b>=input_Columns) | (12) c++; | (13) b=0; | (14) Copy lower-diagonal value to upper-diagonal value: | (15) result [c-1,i]= result [i,c-1]; | (16) endif | (17) until (!((c<i)&&(b< input_Columns))) | (18) endfor | (19) c=0; | (20) b=0; |
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