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failnix/targets/wasm-tacle/kernel/ludcmp/ludcmp.c

178 lines
3.6 KiB
C
Executable File

/*
This program is part of the TACLeBench benchmark suite.
Version V 2.0
Name: ludcmp
Author: Sung-Soo Lim
Function: Simultaneous linear equations by LU decomposition.
Source: SNU-RT Benchmark Suite, via MRTC
http://www.mrtc.mdh.se/projects/wcet/wcet_bench/ludcmp/ludcmp.c
Changes: Moved initialization into separate function.
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
III-4. ludcmp.c : Simultaneous Linear Equations by LU Decomposition
(from the book C Programming for EEs by Hyun Soon Ahn)
*/
/*
Forward declaration of functions
*/
void ludcmp_init( void );
int ludcmp_return( void );
int ludcmp_test( int n, double eps );
void ludcmp_main( void );
int main( void );
double ludcmp_a[ 50 ][ 50 ], ludcmp_b[ 50 ], ludcmp_x[ 50 ];
int ludcmp_chkerr;
void ludcmp_init( void )
{
int i, j, n = 5;
double w;
volatile int x = 0;
_Pragma( "loopbound min 6 max 6" )
for ( i = 0; i <= n; i++ ) {
w = 0;
_Pragma( "loopbound min 6 max 6" )
for ( j = 0; j <= n; j++ ) {
ludcmp_a[ i ][ j ] = ( i + 1 ) + ( j + 1 );
if ( i == j )
ludcmp_a[ i ][ j ] *= 10;
w += ludcmp_a[ i ][ j ];
if ( x )
ludcmp_a[ i ][ j ] += x;
}
ludcmp_b[ i ] = w;
if ( x )
ludcmp_b[ i ] += x;
}
}
int ludcmp_return( void )
{
int i, n = 5;
double checksum = ludcmp_chkerr;
_Pragma( "loopbound min 6 max 6" )
for ( i = 0; i <= n; i++ )
checksum += ludcmp_x[ i ];
/* allow rounding errors for the checksum */
checksum -= 6.0;
return ( ( checksum < 0.000001 && checksum > -0.000001 ) ? 0 : -1 );
}
double ludcmp_fabs( double n )
{
double f;
if ( n >= 0 )
f = n;
else
f = -n;
return f;
}
int ludcmp_test( int n, double eps )
{
int i, j, k;
double w, y[ 100 ];
if ( n > 99 || eps <= 0 )
return ( 999 );
_Pragma( "loopbound min 5 max 5" )
for ( i = 0; i < n; i++ ) {
if ( ludcmp_fabs( ludcmp_a[ i ][ i ] ) <= eps )
return ( 1 );
_Pragma( "loopbound min 1 max 5" )
for ( j = i + 1; j <= n; j++ ) {
w = ludcmp_a[ j ][ i ];
if ( i != 0 ) {
_Pragma( "loopbound min 1 max 4" )
for ( k = 0; k < i; k++ )
w -= ludcmp_a[ j ][ k ] * ludcmp_a[ k ][ i ];
}
ludcmp_a[ j ][ i ] = w / ludcmp_a[ i ][ i ];
}
_Pragma( "loopbound min 1 max 5" )
for ( j = i + 1; j <= n; j++ ) {
w = ludcmp_a[ i + 1 ][ j ];
_Pragma( "loopbound min 1 max 5" )
for ( k = 0; k <= i; k++ )
w -= ludcmp_a[ i + 1 ][ k ] * ludcmp_a[ k ][ j ];
ludcmp_a[ i + 1 ][ j ] = w;
}
}
y[ 0 ] = ludcmp_b[ 0 ];
_Pragma( "loopbound min 5 max 5" )
for ( i = 1; i <= n; i++ ) {
w = ludcmp_b[ i ];
_Pragma( "loopbound min 1 max 5" )
for ( j = 0; j < i; j++ )
w -= ludcmp_a[ i ][ j ] * y[ j ];
y[ i ] = w;
}
ludcmp_x[ n ] = y[ n ] / ludcmp_a[ n ][ n ];
_Pragma( "loopbound min 5 max 5" )
for ( i = n - 1; i >= 0; i-- ) {
w = y[ i ];
_Pragma( "loopbound min 1 max 5" )
for ( j = i + 1; j <= n; j++ )
w -= ludcmp_a[ i ][ j ] * ludcmp_x[ j ];
ludcmp_x[ i ] = w / ludcmp_a[ i ][ i ];
}
return ( 0 );
}
void _Pragma( "entrypoint" ) ludcmp_main( void )
{
int n = 5;
double eps = 1;
ludcmp_chkerr = ludcmp_test( n, eps );
}
int main( void )
{
ludcmp_init();
ludcmp_main();
return ( ludcmp_return() );
}