Use XLEN macro for these sources as well.
[riscv-tests.git] / mt / cy_matmul.c
1 #include "stdlib.h"
2
3 #include "util.h"
4
5 #include "dataset.h"
6 void __attribute__((noinline)) matmul(const int coreid, const int ncores, const int lda, const data_t A[], const data_t B[], data_t C[] )
7 {
8 if(coreid > 1) return;
9 static __thread int i, j, k;
10 static __thread data_t tempA0, tempA1, tempA2, tempA3, tempA4, tempA5, tempA6, tempA7;
11 static __thread data_t tempC0, tempC1, tempC2, tempC3, tempC4, tempC5, tempC6, tempC7, tempC8, tempC9, tempC10, tempC11, tempC12, tempC13, tempC14, tempC15;
12
13 static __thread int start, end, jStride, jToRow, jToCol;
14 static data_t A1[1024], B1[1024];;
15
16 start = coreid << 9;
17 end = ((ncores == 1) ? 2 :(coreid+1)) << 9;
18 jStride = 8;
19
20 if (coreid == 0) {
21 for (j=start; j < end; j+=jStride) {
22 jToRow = (j>>5)<<5;
23 jToCol = j%32;
24 tempC0 = 0;
25 tempC1 = 0;
26 tempC2 = 0;
27 tempC3 = 0;
28 tempC4 = 0;
29 tempC5 = 0;
30 tempC6 = 0;
31 tempC7 = 0;
32 for ( i=0; i < lda; i+=2 ) {
33 tempA0 = A[i + jToRow];
34 tempA1 = A[i+1 + jToRow];
35 tempC0 += tempA0 * B[(jToCol ) + (i<<5)];
36 tempC1 += tempA0 * B[(jToCol+1 ) + (i<<5)];
37 tempC2 += tempA0 * B[(jToCol+2 ) + (i<<5)];
38 tempC3 += tempA0 * B[(jToCol+3 ) + (i<<5)];
39 tempC4 += tempA0 * B[(jToCol+4 ) + (i<<5)];
40 tempC5 += tempA0 * B[(jToCol+5 ) + (i<<5)];
41 tempC6 += tempA0 * B[(jToCol+6 ) + (i<<5)];
42 tempC7 += tempA0 * B[(jToCol+7 ) + (i<<5)];
43 tempC0 += tempA1 * B[(jToCol ) + ((i+1)<<5)];
44 tempC1 += tempA1 * B[(jToCol+1 ) + ((i+1)<<5)];
45 tempC2 += tempA1 * B[(jToCol+2 ) + ((i+1)<<5)];
46 tempC3 += tempA1 * B[(jToCol+3 ) + ((i+1)<<5)];
47 tempC4 += tempA1 * B[(jToCol+4 ) + ((i+1)<<5)];
48 tempC5 += tempA1 * B[(jToCol+5 ) + ((i+1)<<5)];
49 tempC6 += tempA1 * B[(jToCol+6 ) + ((i+1)<<5)];
50 tempC7 += tempA1 * B[(jToCol+7 ) + ((i+1)<<5)];
51 }
52 C[j] =tempC0;
53 C[j + 1 ]=tempC1;
54 C[j + 2 ]=tempC2;
55 C[j + 3 ]=tempC3;
56 C[j + 4 ]=tempC4;
57 C[j + 5 ]=tempC5;
58 C[j + 6 ]=tempC6;
59 C[j + 7 ]=tempC7;
60 }
61 }
62 else {
63 for (i = 0; i < 1024; i++) {
64 A1[i] = A[i];
65 B1[i] = B[i];
66 }
67 for (j=start; j < end; j+=jStride) {
68 jToRow = (j>>5)<<5;
69 jToCol = j%32;
70 tempC0 = 0;
71 tempC1 = 0;
72 tempC2 = 0;
73 tempC3 = 0;
74 tempC4 = 0;
75 tempC5 = 0;
76 tempC6 = 0;
77 tempC7 = 0;
78 for ( i=0; i < lda; i+=2 ) {
79 tempA0 = A1[i + jToRow];
80 tempA1 = A1[i+1 + jToRow];
81 tempC0 += tempA0 * B1[(jToCol ) + (i<<5)];
82 tempC1 += tempA0 * B1[(jToCol+1 ) + (i<<5)];
83 tempC2 += tempA0 * B1[(jToCol+2 ) + (i<<5)];
84 tempC3 += tempA0 * B1[(jToCol+3 ) + (i<<5)];
85 tempC4 += tempA0 * B1[(jToCol+4 ) + (i<<5)];
86 tempC5 += tempA0 * B1[(jToCol+5 ) + (i<<5)];
87 tempC6 += tempA0 * B1[(jToCol+6 ) + (i<<5)];
88 tempC7 += tempA0 * B1[(jToCol+7 ) + (i<<5)];
89 tempC0 += tempA1 * B1[(jToCol ) + ((i+1)<<5)];
90 tempC1 += tempA1 * B1[(jToCol+1 ) + ((i+1)<<5)];
91 tempC2 += tempA1 * B1[(jToCol+2 ) + ((i+1)<<5)];
92 tempC3 += tempA1 * B1[(jToCol+3 ) + ((i+1)<<5)];
93 tempC4 += tempA1 * B1[(jToCol+4 ) + ((i+1)<<5)];
94 tempC5 += tempA1 * B1[(jToCol+5 ) + ((i+1)<<5)];
95 tempC6 += tempA1 * B1[(jToCol+6 ) + ((i+1)<<5)];
96 tempC7 += tempA1 * B1[(jToCol+7 ) + ((i+1)<<5)];
97 }
98 C[j] =tempC0;
99 C[j + 1 ]=tempC1;
100 C[j + 2 ]=tempC2;
101 C[j + 3 ]=tempC3;
102 C[j + 4 ]=tempC4;
103 C[j + 5 ]=tempC5;
104 C[j + 6 ]=tempC6;
105 C[j + 7 ]=tempC7;
106 }
107 }
108 }