Add wasm tacle-bench targets

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2026-06-12 20:06:22 +02:00
parent 30daa8a00c
commit 08c2e9c13d
1122 changed files with 520422 additions and 0 deletions

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# ~~~
# SPDX-License-Identifier: MIT
# SPDX-FileCopyrightText: 2026, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
# ~~~
cmake_minimum_required(VERSION 3.20)
project(minver)
set(TACLEBENCH_ROOT_PATH "${CMAKE_CURRENT_LIST_DIR}/../../..")
set(REPOSITORY_ROOT_PATH "${CMAKE_CURRENT_LIST_DIR}/../../../..")
set(APP_TARGET_NAME "${CMAKE_PROJECT_NAME}")
if(DEFINED TACLEBENCH_VARIANT AND "${TACLEBENCH_VARIANT}" STREQUAL "inline")
set(APP_SOURCE_FILE_PATH
"generated/modified_sources/inline/minver.c")
else()
set(APP_SOURCE_FILE_PATH
"generated/modified_sources/default/minver.c")
endif()
include(${REPOSITORY_ROOT_PATH}/cmake/taclebench_wasm.cmake)

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File: minver.c
Original provenience: SNU-RT Benchmark Suite for Worst Case Timing Analysis
2016-02-26:
- Added TACLeBench header to line 1
- Rename global variable a to minver_a
- Rename global variable b to minver_b
- Rename global variable c to minver_c
- Rename global variable aa to minver_aa
- Rename global variable a_i to minver_a_i
- Rename global variable e to minver_e
- Rename global variable det to minver_det
- Renamed function minver to minver_minver
- Renamed function mmul to minver_mmul
- Renamed function fabs to minver_fabs
- Renamed function main to minver_main
- Created new function main, calling minver_init, minver_main and
returning minver_return
- Reordered functions in source code: initialization- and
return-value-related functions first, followed by algorithm core
functions, followed by main functions
- Applied code formatting with astyle as in the example
2016-03-09
- Removed static keyword from global minver_a array.
2016-05-23
- Added addition of volatile to test data to avoid constant propagation
- Added check_sum and comparison with expected value
2016-05-25
- Initialized variable r in function minver_minver()
- Removed parameter cols of minver_minver() function
- Renamed parameter rows of minver_minver() to side
2017-07-04
- Removed self-assignment for WCC's flow-fact manager to avoid clangs
self-assign warning.

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/*
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());
}

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/*
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);
__attribute__((always_inline)) static inline int minver_minver(int side,
double eps);
__attribute__((always_inline)) static inline int
minver_mmul(int row_a, int col_a, int row_b, int col_b);
__attribute__((always_inline)) static inline double minver_fabs(double n);
__attribute__((always_inline)) static inline void minver_init();
__attribute__((always_inline)) static inline int minver_return();
__attribute__((noinline)) __attribute__((export_name("entrypoint")))
__attribute__((noinline)) __attribute__((export_name("entrypoint"))) void
minver_main();
__attribute__((noinline)) __attribute__((export_name("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
*/
__attribute__((always_inline)) static inline double
minver_fabs(double n) {
double f;
if (n >= 0)
f = n;
else
f = -n;
return f;
}
__attribute__((always_inline)) static inline 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);
}
__attribute__((always_inline)) static inline 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
*/
__attribute__((always_inline)) static inline 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;
}
}
__attribute__((always_inline)) static inline 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")))
__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")))
__attribute__((noinline)) __attribute__((export_name("main"))) int
main(void) {
minver_init();
minver_main();
return (minver_return());
}

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/*
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
*/
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();
void minver_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 min 3 max 3" )
for ( i = 0; i < row_c; i++ ) {
_Pragma( "loopbound min 3 max 3" )
for ( j = 0; j < col_c; j++ ) {
w = 0.0;
_Pragma( "loopbound min 3 max 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 min 3 max 3" )
for ( i = 0; i < side; i++ )
work[ i ] = i;
_Pragma( "loopbound min 3 max 3" )
for ( k = 0; k < side; k++ ) {
wmax = 0.0;
_Pragma( "loopbound min 1 max 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 min 3 max 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 min 3 max 3" )
for ( i = 0; i < side; i++ )
minver_a[ k ][ i ] /= pivot;
_Pragma( "loopbound min 3 max 3" )
for ( i = 0; i < side; i++ ) {
if ( i != k ) {
w = minver_a[ i ][ k ];
if ( w != 0.0 ) {
_Pragma( "loopbound min 3 max 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 min 3 max 3" )
for ( i = 0; i < side; ) {
_Pragma( "loopbound min 1 max 3" )
while ( 1 ) {
k = work[ i ];
if ( k == i ) break;
iw = work[ k ];
work[ k ] = work[ i ];
work[ i ] = iw;
_Pragma( "loopbound min 3 max 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 min 3 max 3" )
for ( i = 0; i < 3; i++ ) {
_Pragma( "loopbound min 3 max 3" )
for ( j = 0; j < 3; j++ )
minver_a[ i ][ j ] += x;
}
}
int minver_return()
{
int i, j;
double check_sum = 0;
_Pragma( "loopbound min 3 max 3" )
for ( i = 0; i < 3; i++ ) {
_Pragma( "loopbound min 3 max 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
*/
void _Pragma( "entrypoint" ) minver_main()
{
int i, j;
double eps;
eps = 1.0e-6;
_Pragma( "loopbound min 3 max 3" )
for ( i = 0; i < 3; i++ ) {
_Pragma( "loopbound min 3 max 3" )
for ( j = 0; j < 3; j++ )
minver_aa[ i ][ j ] = minver_a[ i ][ j ];
}
minver_minver( 3, eps );
_Pragma( "loopbound min 3 max 3" )
for ( i = 0; i < 3; i++ ) {
_Pragma( "loopbound min 3 max 3" )
for ( j = 0; j < 3; j++ )
minver_a_i[ i ][ j ] = minver_a[ i ][ j ];
}
minver_mmul( 3, 3, 3, 3 );
}
int main( void )
{
minver_init();
minver_main();
return ( minver_return() );
}