Files
failnix/targets/wasm-tacle/kernel/minver/generated/modified_sources/default/minver.c

254 lines
5.8 KiB
C

/*
This program is part of the TACLeBench benchmark suite.
Version V 1.x
Name: minver
Author: Sung-Soo Lim
Function: Matrix inversion for 3x3 floating point matrix.
Source: SNU-RT Benchmark Suite, via MRTC
http://www.mrtc.mdh.se/projects/wcet/wcet_bench/minver/minver.c
Changes: a brief summary of major functional changes (not formatting)
License: may be used, modified, and re-distributed freely, but
the SNU-RT Benchmark Suite must be acknowledged
*/
/*
This program is derived from the SNU-RT Benchmark Suite for Worst
Case Timing Analysis by Sung-Soo Lim
Original source: Turbo C Programming for Engineering by Hyun Soo Ahn
*/
/*
Forward declaration of functions
*/
// Wasm loop bounds
__attribute__((import_module("__pragma"), import_name("loopbound"))) extern void
__pragma_loopbound(unsigned int min_bound, unsigned int max_bound);
int minver_minver(int side, double eps);
int minver_mmul(int row_a, int col_a, int row_b, int col_b);
double minver_fabs(double n);
void minver_init();
int minver_return();
__attribute__((noinline)) __attribute__((export_name("entrypoint"))) void
minver_main();
__attribute__((noinline)) __attribute__((export_name("main"))) int main(void);
/*
Declaration of global variables
*/
double minver_a[3][3] = {
{3.0, -6.0, 7.0},
{9.0, 0.0, -5.0},
{5.0, -8.0, 6.0},
};
double minver_b[3][3];
double minver_c[3][3];
double minver_aa[3][3];
double minver_a_i[3][3];
double minver_det;
/*
Arithmetic math functions
*/
double
minver_fabs(double n) {
double f;
if (n >= 0)
f = n;
else
f = -n;
return f;
}
int
minver_mmul(int row_a, int col_a, int row_b, int col_b) {
int i, j, k, row_c, col_c;
double w;
row_c = row_a;
col_c = col_b;
if (row_c < 1 || row_b < 1 || col_c < 1 || col_a != row_b)
return (999);
__pragma_loopbound(3, 3);
for (i = 0; i < row_c; i++) {
__pragma_loopbound(3, 3);
for (j = 0; j < col_c; j++) {
w = 0.0;
__pragma_loopbound(3, 3);
for (k = 0; k < row_b; k++)
w += minver_a[i][k] * minver_b[k][j];
minver_c[i][j] = w;
}
}
return (0);
}
int
minver_minver(int side, double eps) {
int work[500], i, j, k, iw;
int r = 0;
double w = 0, wmax, pivot, api, w1;
if (side < 2 || side > 500 || eps <= 0.0)
return (999);
w1 = 1.0;
__pragma_loopbound(3, 3);
for (i = 0; i < side; i++)
work[i] = i;
__pragma_loopbound(3, 3);
for (k = 0; k < side; k++) {
wmax = 0.0;
__pragma_loopbound(1, 3);
for (i = k; i < side; i++) {
w = minver_fabs(minver_a[i][k]);
if (w > wmax) {
wmax = w;
r = i;
}
}
pivot = minver_a[r][k];
api = minver_fabs(pivot);
if (api <= eps) {
minver_det = w1;
return (1);
}
w1 *= pivot;
if (r != k) {
w1 = -w;
iw = work[k];
work[k] = work[r];
work[r] = iw;
__pragma_loopbound(3, 3);
for (j = 0; j < side; j++) {
w = minver_a[k][j];
minver_a[k][j] = minver_a[r][j];
minver_a[r][j] = w;
}
}
__pragma_loopbound(3, 3);
for (i = 0; i < side; i++)
minver_a[k][i] /= pivot;
__pragma_loopbound(3, 3);
for (i = 0; i < side; i++) {
if (i != k) {
w = minver_a[i][k];
if (w != 0.0) {
__pragma_loopbound(3, 3);
for (j = 0; j < side; j++) {
if (j != k)
minver_a[i][j] -= w * minver_a[k][j];
}
minver_a[i][k] = -w / pivot;
}
}
}
minver_a[k][k] = 1.0 / pivot;
}
__pragma_loopbound(3, 3);
for (i = 0; i < side;) {
__pragma_loopbound(1, 3);
while (1) {
k = work[i];
if (k == i)
break;
iw = work[k];
work[k] = work[i];
work[i] = iw;
__pragma_loopbound(3, 3);
for (j = 0; j < side; j++) {
w = minver_a[k][i];
minver_a[k][i] = minver_a[k][k];
minver_a[k][k] = w;
}
}
i++;
}
minver_det = w1;
return (0);
}
/*
Initialization- and return-value-related functions
*/
void
minver_init() {
int i, j;
volatile int x = 0;
__pragma_loopbound(3, 3);
for (i = 0; i < 3; i++) {
__pragma_loopbound(3, 3);
for (j = 0; j < 3; j++)
minver_a[i][j] += x;
}
}
int
minver_return() {
int i, j;
double check_sum = 0;
__pragma_loopbound(3, 3);
for (i = 0; i < 3; i++) {
__pragma_loopbound(3, 3);
for (j = 0; j < 3; j++)
check_sum += minver_a_i[i][j];
}
/* Avoid double comparison */
return (int) (check_sum * 100) != 48;
}
/*
Main functions
*/
__attribute__((noinline)) __attribute__((export_name("entrypoint"))) void
minver_main() {
int i, j;
double eps;
eps = 1.0e-6;
__pragma_loopbound(3, 3);
for (i = 0; i < 3; i++) {
__pragma_loopbound(3, 3);
for (j = 0; j < 3; j++)
minver_aa[i][j] = minver_a[i][j];
}
minver_minver(3, eps);
__pragma_loopbound(3, 3);
for (i = 0; i < 3; i++) {
__pragma_loopbound(3, 3);
for (j = 0; j < 3; j++)
minver_a_i[i][j] = minver_a[i][j];
}
minver_mmul(3, 3, 3, 3);
}
__attribute__((noinline)) __attribute__((export_name("main"))) int
main(void) {
minver_init();
minver_main();
return (minver_return());
}