Add wasm tacle-bench targets

This commit is contained in:
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(st)
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/st.c")
else()
set(APP_SOURCE_FILE_PATH
"generated/modified_sources/default/st.c")
endif()
include(${REPOSITORY_ROOT_PATH}/cmake/taclebench_wasm.cmake)

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File: st.c
Original provenience: Mälardalen benchmark suite, www.mrtc.....
2015-06-08:
- Removed comment "/* stats.c */" from line 1
- Added generic TACLeBench header to line 1
- Replaced all occurrences of preprocessor macro MAX by value 1000
(lines 75, 78, 95, 98, 111, 139)
- Removed obsolete preprocessor macro MAX from line 3
- Removed comment describing purpose of benchmark from lines 6-10
- Renamed global variable Seed to st_Seed, declared st_Seed as volatile
- Renamed global variable ArrayA to st_ArrayA
- Renamed global variable ArrayB to st_ArrayB
- Renamed global variable SumA to st_SumA
- Renamed global variable SumB to st_SumB
- Removed global variable Coef, reinserted previous local variable Coef that
was commented out in function main and elsewhere in order to keep the
argument lists of some functions smaller than 6
- Replaced Coef by *Coef in last line of function Calc_LinCorrCoef due to
previous change
- Removed comment "/* Coef used globally */" from function Calc_LinCorrCoef
- Removed comment "/* Coef will have to be used globally in Calc_LinCorrCoef
since it would be beyond the 6 registers used for passing parameters */" from
function main
- Renamed function my_fabs to st_fabs
- Renamed function my_sqrtf to st_sqrtf
- Renamed function InitSeed to st_InitSeed
- Renamed function Calc_Sum_Mean to st_Calc_Sum_Mean
- Renamed function Square to st_Square
- Renamed function Calc_Var_Stddev to st_Calc_Var_Stddev
- Renamed function Calc_LinCorrCoef to st_Calc_LinCorrCoef
- Renamed function RandomInteger to st_RandomInteger
- Renamed function Initialize to st_Initialize
- Added new function st_Init completely encapsulating all initialization-
related issues according to TACLeBench guidelines. st_Init by itself only
calls st_InitSeed and invokes st_Initialize on global arrays st_ArrayA and
st_ArrayB
- Removed both calls to st_Initialize from function main
- Replaced call of st_InitSeed in main by call of st_Init
- Replaced string "8095" by "8094" in the comment documenting function
st_RandomInteger
- Removed the division by 8095.0f from line
"array[ i ] = i + st_randomInteger() / 8095.0f" in function st_initialize.
i ranges from 0 to 999, values returned by st_randomInteger range from 0 to
8094. The sum of i and st_randomInteger thus ranges from 0 to 9093. Dividing
numbers from this interval by 8095.0f has the effect that array[ i ] is
initialized only with values 0.0f or 1.0f which is way too limited.
- Added new function st_main according to TACLeBench guidelines. st_main
contains the declaration of local variables MeanA, MeanB, VarA, VarB,
StddevA, StddevB and Coef and calls st_calc_Sum_Mean, st_Calc_Var_Stddev
and st_Calc_LinCorrCoef as the original main did.
st_main is annotated as entry-point for timing analysis.
- Removed declaration of local variables from function main, replaced calls
of st_Calc_Sum_Mean, st_Calc_Var_Stddev and st_Calc_LinCorrCoef in main by
a call to st_main
- Removed local variables meanA, meanB, varA, varB, stddevA, stddevB, coef from
function st_main, added them as global variables st_meanA, st_meanB, st_varA,
st_varB, st_stddevA, st_stddevB, st_coef
Adjusted function st_main such that the new global variables are used, in
order to enable explicit return value computation of the entire benchmark
- Added new function st_return computing a checksum as return value
- Adjusted function main such that it calls st_return to produce a return value
for testing
- Added forward declarations of all functions before the declarations of global
variables
- Reordered functions in source code: initialization- and return-value-related
functions first, followed by arithmetic math functions, followed by algorithm
core functions, followed by main functions
- Applied code formatting according to the following rules
(incomplete, to be discussed; I basically used astyle with the attached
options file):
- Lines shall not be wider than 80 characters; whenever possible, appropriate
line breaks shall be inserted to keep lines below 80 characters
- Indentation is done using whitespaces only, no tabs. Code is indented by
two whitespaces
- Two empty lines are put between any two functions
- In non-empty lists or index expressions, opening '(' and '[' are followed by
one whitespace, closing ')' and ']' are preceded by one whitespace
- In comma- or colon-separated argument lists, one whitespace is put after
each comma/colon
- Names of functions and global variables all start with a benchmark-specific
prefix (here: st_) followed by lowercase letter (e.g., st_square)
- For pointer types, one whitespace is put before the '*'
- Operators within expressions shall be preceded and followed by one
whitespace
- Code of then- and else-parts of if-then-else statements shall be put in
separate lines, not in the same lines as the if-condition or the keyword
"else"
- Opening braces '{' denoting the beginning of code for some if-else or loop
body shall be put at the end of the same line where the keywords "if",
"else", "for", "while" etc. occur
- Added general TACLeBench header to beginning of source code
2016-03-15:
- Return 0 if checksum is as expected, -1 otherwise
- Fix function prototypes of functions without arguments

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(module $st.wasm
(type (;0;) (func (param i32 i32)))
(type (;1;) (func))
(type (;2;) (func (param i32 i32 f32 f32 i32)))
(type (;3;) (func (result i32)))
(import "__pragma" "loopbound" (func $__pragma_loopbound (type 0)))
(func $__wasm_apply_data_relocs (type 1))
(func $st_calc_LinCorrCoef (type 2) (param i32 i32 f32 f32 i32)
(local f32 i32 f32 f32 i32 f32 i32 f32 f32 f32)
i32.const 1000
i32.const 1000
call $__pragma_loopbound
f32.const 0x0p+0 (;=0;)
local.set 5
i32.const 0
local.set 6
f32.const 0x0p+0 (;=0;)
local.set 7
f32.const 0x0p+0 (;=0;)
local.set 8
loop ;; label = @1
local.get 0
local.get 6
i32.add
local.tee 9
i32.const 4
i32.add
f32.load
local.get 2
f32.sub
local.tee 10
local.get 1
local.get 6
i32.add
local.tee 11
i32.const 4
i32.add
f32.load
local.get 3
f32.sub
local.tee 12
f32.mul
local.get 9
f32.load
local.get 2
f32.sub
local.tee 13
local.get 11
f32.load
local.get 3
f32.sub
local.tee 14
f32.mul
local.get 8
f32.add
f32.add
local.set 8
local.get 5
local.get 14
local.get 14
f32.mul
f32.add
local.get 12
local.get 12
f32.mul
f32.add
local.set 5
local.get 7
local.get 13
local.get 13
f32.mul
f32.add
local.get 10
local.get 10
f32.mul
f32.add
local.set 7
local.get 6
i32.const 8
i32.add
local.tee 6
i32.const 4000
i32.ne
br_if 0 (;@1;)
end
f32.const 0x0p+0 (;=0;)
local.set 10
f32.const 0x0p+0 (;=0;)
local.set 12
block ;; label = @1
local.get 7
f32.const 0x0p+0 (;=0;)
f32.eq
br_if 0 (;@1;)
i32.const 19
local.set 9
i32.const 19
i32.const 19
call $__pragma_loopbound
local.get 7
f32.const 0x1.4p+3 (;=10;)
f32.div
local.set 12
i32.const 0
local.set 6
loop ;; label = @2
block ;; label = @3
block ;; label = @4
local.get 6
br_if 0 (;@4;)
i32.const 0
local.set 6
local.get 7
local.get 12
local.get 7
local.get 12
local.get 12
f32.mul
f32.sub
local.get 12
local.get 12
f32.add
f32.div
f32.add
local.tee 12
local.get 12
f32.mul
f32.sub
local.tee 13
local.get 13
f32.neg
local.get 13
f32.const 0x0p+0 (;=0;)
f32.ge
select
f32.const 0x1.4f8b58p-17 (;=1e-05;)
f32.le
i32.eqz
br_if 1 (;@3;)
end
i32.const 1
local.set 6
end
local.get 9
i32.const -1
i32.add
local.tee 9
br_if 0 (;@2;)
end
end
block ;; label = @1
local.get 5
f32.const 0x0p+0 (;=0;)
f32.eq
br_if 0 (;@1;)
i32.const 19
local.set 9
i32.const 19
i32.const 19
call $__pragma_loopbound
local.get 5
f32.const 0x1.4p+3 (;=10;)
f32.div
local.set 10
i32.const 0
local.set 6
loop ;; label = @2
block ;; label = @3
block ;; label = @4
local.get 6
br_if 0 (;@4;)
i32.const 0
local.set 6
local.get 5
local.get 10
local.get 5
local.get 10
local.get 10
f32.mul
f32.sub
local.get 10
local.get 10
f32.add
f32.div
f32.add
local.tee 10
local.get 10
f32.mul
f32.sub
local.tee 13
local.get 13
f32.neg
local.get 13
f32.const 0x0p+0 (;=0;)
f32.ge
select
f32.const 0x1.4f8b58p-17 (;=1e-05;)
f32.le
i32.eqz
br_if 1 (;@3;)
end
i32.const 1
local.set 6
end
local.get 9
i32.const -1
i32.add
local.tee 9
br_if 0 (;@2;)
end
end
local.get 4
local.get 8
local.get 12
local.get 10
f32.mul
f32.div
f32.store)
(func $st_main (type 1)
(local f32 i32 f32 f32 i32)
i32.const 0
i32.const 0
i32.store offset=9060
i32.const 1000
i32.const 1000
call $__pragma_loopbound
i32.const 0
f32.load offset=9060
local.set 0
i32.const -4000
local.set 1
loop ;; label = @1
local.get 0
local.get 1
i32.const 5040
i32.add
f32.load
f32.add
local.get 1
i32.const 5044
i32.add
f32.load
f32.add
local.get 1
i32.const 5048
i32.add
f32.load
f32.add
local.get 1
i32.const 5052
i32.add
f32.load
f32.add
local.get 1
i32.const 5056
i32.add
f32.load
f32.add
local.set 0
local.get 1
i32.const 20
i32.add
local.tee 1
br_if 0 (;@1;)
end
i32.const 0
local.get 0
f32.store offset=9060
i32.const 0
local.get 0
f32.const 0x1.f4p+9 (;=1000;)
f32.div
local.tee 0
f32.store offset=9040
i32.const 1000
i32.const 1000
call $__pragma_loopbound
f32.const 0x0p+0 (;=0;)
local.set 2
i32.const -4000
local.set 1
loop ;; label = @1
local.get 2
local.get 1
i32.const 5040
i32.add
f32.load
local.get 0
f32.sub
local.tee 3
local.get 3
f32.mul
f32.add
local.get 1
i32.const 5044
i32.add
f32.load
local.get 0
f32.sub
local.tee 2
local.get 2
f32.mul
f32.add
local.get 1
i32.const 5048
i32.add
f32.load
local.get 0
f32.sub
local.tee 2
local.get 2
f32.mul
f32.add
local.get 1
i32.const 5052
i32.add
f32.load
local.get 0
f32.sub
local.tee 2
local.get 2
f32.mul
f32.add
local.set 2
local.get 1
i32.const 16
i32.add
local.tee 1
br_if 0 (;@1;)
end
i32.const 0
local.set 1
i32.const 0
local.get 2
f32.const 0x1.f4p+9 (;=1000;)
f32.div
local.tee 3
f32.store offset=9064
f32.const 0x0p+0 (;=0;)
local.set 0
block ;; label = @1
local.get 3
f32.const 0x0p+0 (;=0;)
f32.eq
br_if 0 (;@1;)
i32.const 19
local.set 4
i32.const 19
i32.const 19
call $__pragma_loopbound
local.get 3
f32.const 0x1.4p+3 (;=10;)
f32.div
local.set 0
loop ;; label = @2
block ;; label = @3
block ;; label = @4
local.get 1
br_if 0 (;@4;)
i32.const 0
local.set 1
local.get 3
local.get 0
local.get 3
local.get 0
local.get 0
f32.mul
f32.sub
local.get 0
local.get 0
f32.add
f32.div
f32.add
local.tee 0
local.get 0
f32.mul
f32.sub
local.tee 2
local.get 2
f32.neg
local.get 2
f32.const 0x0p+0 (;=0;)
f32.ge
select
f32.const 0x1.4f8b58p-17 (;=1e-05;)
f32.le
i32.eqz
br_if 1 (;@3;)
end
i32.const 1
local.set 1
end
local.get 4
i32.const -1
i32.add
local.tee 4
br_if 0 (;@2;)
end
end
i32.const 0
local.get 0
f32.store offset=9048
i32.const 0
i32.const 0
i32.store offset=9068
i32.const 1000
i32.const 1000
call $__pragma_loopbound
i32.const 0
f32.load offset=9068
local.set 0
i32.const -4000
local.set 1
loop ;; label = @1
local.get 0
local.get 1
i32.const 9040
i32.add
f32.load
f32.add
local.get 1
i32.const 9044
i32.add
f32.load
f32.add
local.get 1
i32.const 9048
i32.add
f32.load
f32.add
local.get 1
i32.const 9052
i32.add
f32.load
f32.add
local.get 1
i32.const 9056
i32.add
f32.load
f32.add
local.set 0
local.get 1
i32.const 20
i32.add
local.tee 1
br_if 0 (;@1;)
end
i32.const 0
local.get 0
f32.store offset=9068
i32.const 0
local.get 0
f32.const 0x1.f4p+9 (;=1000;)
f32.div
local.tee 0
f32.store offset=9044
i32.const 1000
i32.const 1000
call $__pragma_loopbound
f32.const 0x0p+0 (;=0;)
local.set 2
i32.const -4000
local.set 1
loop ;; label = @1
local.get 2
local.get 1
i32.const 9040
i32.add
f32.load
local.get 0
f32.sub
local.tee 3
local.get 3
f32.mul
f32.add
local.get 1
i32.const 9044
i32.add
f32.load
local.get 0
f32.sub
local.tee 2
local.get 2
f32.mul
f32.add
local.get 1
i32.const 9048
i32.add
f32.load
local.get 0
f32.sub
local.tee 2
local.get 2
f32.mul
f32.add
local.get 1
i32.const 9052
i32.add
f32.load
local.get 0
f32.sub
local.tee 2
local.get 2
f32.mul
f32.add
local.set 2
local.get 1
i32.const 16
i32.add
local.tee 1
br_if 0 (;@1;)
end
i32.const 0
local.set 1
i32.const 0
local.get 2
f32.const 0x1.f4p+9 (;=1000;)
f32.div
local.tee 3
f32.store offset=9072
f32.const 0x0p+0 (;=0;)
local.set 0
block ;; label = @1
local.get 3
f32.const 0x0p+0 (;=0;)
f32.eq
br_if 0 (;@1;)
i32.const 19
local.set 4
i32.const 19
i32.const 19
call $__pragma_loopbound
local.get 3
f32.const 0x1.4p+3 (;=10;)
f32.div
local.set 0
loop ;; label = @2
block ;; label = @3
block ;; label = @4
local.get 1
br_if 0 (;@4;)
i32.const 0
local.set 1
local.get 3
local.get 0
local.get 3
local.get 0
local.get 0
f32.mul
f32.sub
local.get 0
local.get 0
f32.add
f32.div
f32.add
local.tee 0
local.get 0
f32.mul
f32.sub
local.tee 2
local.get 2
f32.neg
local.get 2
f32.const 0x0p+0 (;=0;)
f32.ge
select
f32.const 0x1.4f8b58p-17 (;=1e-05;)
f32.le
i32.eqz
br_if 1 (;@3;)
end
i32.const 1
local.set 1
end
local.get 4
i32.const -1
i32.add
local.tee 4
br_if 0 (;@2;)
end
end
i32.const 0
local.get 0
f32.store offset=9052
i32.const 1040
i32.const 5040
i32.const 0
f32.load offset=9040
i32.const 0
f32.load offset=9044
i32.const 9056
call $st_calc_LinCorrCoef)
(func $__original_main (type 3) (result i32)
(local i32 i32 i32)
i32.const 0
i32.const 0
i32.store offset=1024
i32.const 1000
i32.const 1000
call $__pragma_loopbound
i32.const 1
local.set 0
i32.const 1040
local.set 1
loop ;; label = @1
i32.const 0
i32.const 0
i32.load offset=1024
i32.const 133
i32.mul
i32.const 81
i32.add
i32.const 8095
i32.rem_s
i32.store offset=1024
i32.const 0
i32.load offset=1024
local.set 2
i32.const 0
i32.const 0
i32.load offset=1024
i32.const 133
i32.mul
i32.const 81
i32.add
i32.const 8095
i32.rem_s
i32.store offset=1024
local.get 1
local.get 0
local.get 2
i32.add
i32.const -1
i32.add
f32.convert_i32_s
f32.store
local.get 1
i32.const 4
i32.add
local.get 0
i32.const 0
i32.load offset=1024
i32.add
f32.convert_i32_s
f32.store
local.get 1
i32.const 8
i32.add
local.set 1
local.get 0
i32.const 2
i32.add
local.tee 0
i32.const 1001
i32.ne
br_if 0 (;@1;)
end
i32.const 1000
i32.const 1000
call $__pragma_loopbound
i32.const 1
local.set 0
i32.const 5040
local.set 1
loop ;; label = @1
i32.const 0
i32.const 0
i32.load offset=1024
i32.const 133
i32.mul
i32.const 81
i32.add
i32.const 8095
i32.rem_s
i32.store offset=1024
i32.const 0
i32.load offset=1024
local.set 2
i32.const 0
i32.const 0
i32.load offset=1024
i32.const 133
i32.mul
i32.const 81
i32.add
i32.const 8095
i32.rem_s
i32.store offset=1024
local.get 1
local.get 0
local.get 2
i32.add
i32.const -1
i32.add
f32.convert_i32_s
f32.store
local.get 1
i32.const 4
i32.add
local.get 0
i32.const 0
i32.load offset=1024
i32.add
f32.convert_i32_s
f32.store
local.get 1
i32.const 8
i32.add
local.set 1
local.get 0
i32.const 2
i32.add
local.tee 0
i32.const 1001
i32.ne
br_if 0 (;@1;)
end
call $st_main
i32.const 0
i32.const -1
i32.const 0
f32.load offset=9040
i32.const 0
f32.load offset=9044
f32.add
i32.const 0
f32.load offset=9048
f32.add
i32.const 0
f32.load offset=9052
f32.add
i32.const 0
f32.load offset=9056
f32.add
f64.promote_f32
f64.const -0x1.abffe3ffef391p+13 (;=-13696;)
f64.add
f32.demote_f64
f32.abs
f64.promote_f32
f64.const 0x1.0c6f7a0b5ed8dp-20 (;=1e-06;)
f64.lt
select)
(table (;0;) 1 1 funcref)
(memory (;0;) 1)
(global $__stack_pointer (mut i32) (i32.const 13184))
(global (;1;) i32 (i32.const 9076))
(global (;2;) i32 (i32.const 13184))
(export "memory" (memory 0))
(export "__wasm_apply_data_relocs" (func $__wasm_apply_data_relocs))
(export "entrypoint" (func $st_main))
(export "main" (func $__original_main))
(export "__data_end" (global 1))
(export "__heap_base" (global 2)))

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/*
This program is part of the TACLeBench benchmark suite.
Version V 2.0
Name: st
Author: unknown
Function: st is a statistics program.
This program computes for two arrays of numbers the sum, the mean,
the variance, and standard deviation. It then determines the
correlation coefficient between the two arrays.
Source: MRTC
http://www.mrtc.mdh.se/projects/wcet/wcet_bench/st/st.c
Changes: No major functional changes.
License: May be used, modified, and re-distributed freely
*/
/*
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);
void st_initSeed(void);
long st_randomInteger();
void st_initialize(float *);
void st_init(void);
int st_return(void);
float st_fabs(float);
float st_sqrtf(float);
float st_square(float);
void st_calc_Sum_Mean(float *, float *, float *);
void st_calc_Var_Stddev(float *, float, float *, float *);
void st_calc_LinCorrCoef(float *, float *, float, float, float *);
__attribute__((noinline)) __attribute__((export_name("entrypoint"))) void
st_main(void);
__attribute__((noinline)) __attribute__((export_name("main"))) int main(void);
/*
Declaration of global variables
*/
volatile int st_seed;
float st_arrayA[1000], st_arrayB[1000];
float st_sumA, st_sumB;
float st_meanA, st_meanB, st_varA, st_varB, st_stddevA, st_stddevB, st_coef;
/*
Initialization- and return-value-related functions
*/
/*
st_initSeed initializes the seed used in the "random" number generator.
*/
void
st_initSeed() {
st_seed = 0;
}
/*
st_RandomInteger generates random integers between 0 and 8094.
*/
long
st_randomInteger() {
st_seed = ((st_seed * 133) + 81) % 8095;
return (st_seed);
}
void
st_initialize(float *array) {
register int i;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++)
array[i] = i + st_randomInteger();
}
void
st_init() {
st_initSeed();
st_initialize(st_arrayA);
st_initialize(st_arrayB);
}
int
st_return() {
float checksum = st_meanA + st_meanB + st_stddevA + st_stddevB + st_coef;
/* allow rounding errors for the checksum */
checksum -= 13695.986328;
return ((checksum < 0.000001 && checksum > -0.000001) ? 0 : -1);
}
/*
Arithmetic math functions
*/
float
st_fabs(float n) {
float f;
if (n >= 0)
f = n;
else
f = -n;
return (f);
}
float
st_sqrtf(float val) {
float x = val / 10;
float dx;
float diff;
float min_tol = 0.00001f;
int i, flag = 0;
if (val == 0)
x = 0;
else {
__pragma_loopbound(19, 19);
for (i = 1; i < 20; i++) {
if (!flag) {
dx = (val - (x * x)) / (2.0f * x);
x = x + dx;
diff = val - (x * x);
if (st_fabs(diff) <= min_tol)
flag = 1;
}
}
}
return (x);
}
float
st_square(float x) {
return (x * x);
}
/*
Algorithm core functions
*/
void
st_calc_Sum_Mean(float *array, float *sum, float *mean) {
int i;
*sum = 0;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++)
*sum += array[i];
*mean = *sum / 1000;
}
void
st_calc_Var_Stddev(float *array, float mean, float *var, float *stddev) {
int i;
float diffs = 0.0f;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++)
diffs += st_square(array[i] - mean);
*var = diffs / 1000;
*stddev = st_sqrtf(*var);
}
void
st_calc_LinCorrCoef(float *arrayA, float *arrayB, float meanA, float meanB,
float *coef) {
int i;
float numerator = 0.0f, Aterm = 0.0f, Bterm = 0.0f;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++) {
numerator += (arrayA[i] - meanA) * (arrayB[i] - meanB);
Aterm += st_square(arrayA[i] - meanA);
Bterm += st_square(arrayB[i] - meanB);
}
*coef = numerator / (st_sqrtf(Aterm) * st_sqrtf(Bterm));
}
/*
Main functions
*/
__attribute__((noinline)) __attribute__((export_name("entrypoint"))) void
st_main(void) {
st_calc_Sum_Mean(st_arrayA, &st_sumA, &st_meanA);
st_calc_Var_Stddev(st_arrayA, st_meanA, &st_varA, &st_stddevA);
st_calc_Sum_Mean(st_arrayB, &st_sumB, &st_meanB);
st_calc_Var_Stddev(st_arrayB, st_meanB, &st_varB, &st_stddevB);
st_calc_LinCorrCoef(st_arrayA, st_arrayB, st_meanA, st_meanB, &st_coef);
}
__attribute__((noinline)) __attribute__((export_name("main"))) int
main(void) {
st_init();
st_main();
return (st_return());
}

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/*
This program is part of the TACLeBench benchmark suite.
Version V 2.0
Name: st
Author: unknown
Function: st is a statistics program.
This program computes for two arrays of numbers the sum, the mean,
the variance, and standard deviation. It then determines the
correlation coefficient between the two arrays.
Source: MRTC
http://www.mrtc.mdh.se/projects/wcet/wcet_bench/st/st.c
Changes: No major functional changes.
License: May be used, modified, and re-distributed freely
*/
/*
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 void st_initSeed(void);
__attribute__((always_inline)) static inline long st_randomInteger();
__attribute__((always_inline)) static inline void st_initialize(float *);
__attribute__((always_inline)) static inline void st_init(void);
__attribute__((always_inline)) static inline int st_return(void);
__attribute__((always_inline)) static inline float st_fabs(float);
__attribute__((always_inline)) static inline float st_sqrtf(float);
__attribute__((always_inline)) static inline float st_square(float);
__attribute__((always_inline)) static inline void
st_calc_Sum_Mean(float *, float *, float *);
__attribute__((always_inline)) static inline void
st_calc_Var_Stddev(float *, float, float *, float *);
__attribute__((always_inline)) static inline void
st_calc_LinCorrCoef(float *, float *, float, float, float *);
__attribute__((noinline)) __attribute__((export_name("entrypoint")))
__attribute__((noinline)) __attribute__((export_name("entrypoint"))) void
st_main(void);
__attribute__((noinline)) __attribute__((export_name("main")))
__attribute__((noinline)) __attribute__((export_name("main"))) int
main(void);
/*
Declaration of global variables
*/
volatile int st_seed;
float st_arrayA[1000], st_arrayB[1000];
float st_sumA, st_sumB;
float st_meanA, st_meanB, st_varA, st_varB, st_stddevA, st_stddevB, st_coef;
/*
Initialization- and return-value-related functions
*/
/*
st_initSeed initializes the seed used in the "random" number generator.
*/
__attribute__((always_inline)) static inline void
st_initSeed() {
st_seed = 0;
}
/*
st_RandomInteger generates random integers between 0 and 8094.
*/
__attribute__((always_inline)) static inline long
st_randomInteger() {
st_seed = ((st_seed * 133) + 81) % 8095;
return (st_seed);
}
__attribute__((always_inline)) static inline void
st_initialize(float *array) {
register int i;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++)
array[i] = i + st_randomInteger();
}
__attribute__((always_inline)) static inline void
st_init() {
st_initSeed();
st_initialize(st_arrayA);
st_initialize(st_arrayB);
}
__attribute__((always_inline)) static inline int
st_return() {
float checksum = st_meanA + st_meanB + st_stddevA + st_stddevB + st_coef;
/* allow rounding errors for the checksum */
checksum -= 13695.986328;
return ((checksum < 0.000001 && checksum > -0.000001) ? 0 : -1);
}
/*
Arithmetic math functions
*/
__attribute__((always_inline)) static inline float
st_fabs(float n) {
float f;
if (n >= 0)
f = n;
else
f = -n;
return (f);
}
__attribute__((always_inline)) static inline float
st_sqrtf(float val) {
float x = val / 10;
float dx;
float diff;
float min_tol = 0.00001f;
int i, flag = 0;
if (val == 0)
x = 0;
else {
__pragma_loopbound(19, 19);
for (i = 1; i < 20; i++) {
if (!flag) {
dx = (val - (x * x)) / (2.0f * x);
x = x + dx;
diff = val - (x * x);
if (st_fabs(diff) <= min_tol)
flag = 1;
}
}
}
return (x);
}
__attribute__((always_inline)) static inline float
st_square(float x) {
return (x * x);
}
/*
Algorithm core functions
*/
__attribute__((always_inline)) static inline void
st_calc_Sum_Mean(float *array, float *sum, float *mean) {
int i;
*sum = 0;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++)
*sum += array[i];
*mean = *sum / 1000;
}
__attribute__((always_inline)) static inline void
st_calc_Var_Stddev(float *array, float mean, float *var, float *stddev) {
int i;
float diffs = 0.0f;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++)
diffs += st_square(array[i] - mean);
*var = diffs / 1000;
*stddev = st_sqrtf(*var);
}
__attribute__((always_inline)) static inline void
st_calc_LinCorrCoef(float *arrayA, float *arrayB, float meanA, float meanB,
float *coef) {
int i;
float numerator = 0.0f, Aterm = 0.0f, Bterm = 0.0f;
__pragma_loopbound(1000, 1000);
for (i = 0; i < 1000; i++) {
numerator += (arrayA[i] - meanA) * (arrayB[i] - meanB);
Aterm += st_square(arrayA[i] - meanA);
Bterm += st_square(arrayB[i] - meanB);
}
*coef = numerator / (st_sqrtf(Aterm) * st_sqrtf(Bterm));
}
/*
Main functions
*/
__attribute__((noinline)) __attribute__((export_name("entrypoint")))
__attribute__((noinline)) __attribute__((export_name("entrypoint"))) void
st_main(void) {
st_calc_Sum_Mean(st_arrayA, &st_sumA, &st_meanA);
st_calc_Var_Stddev(st_arrayA, st_meanA, &st_varA, &st_stddevA);
st_calc_Sum_Mean(st_arrayB, &st_sumB, &st_meanB);
st_calc_Var_Stddev(st_arrayB, st_meanB, &st_varB, &st_stddevB);
st_calc_LinCorrCoef(st_arrayA, st_arrayB, st_meanA, st_meanB, &st_coef);
}
__attribute__((noinline)) __attribute__((export_name("main")))
__attribute__((noinline)) __attribute__((export_name("main"))) int
main(void) {
st_init();
st_main();
return (st_return());
}

226
targets/wasm-tacle/kernel/st/st.c Executable file
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/*
This program is part of the TACLeBench benchmark suite.
Version V 2.0
Name: st
Author: unknown
Function: st is a statistics program.
This program computes for two arrays of numbers the sum, the mean,
the variance, and standard deviation. It then determines the
correlation coefficient between the two arrays.
Source: MRTC
http://www.mrtc.mdh.se/projects/wcet/wcet_bench/st/st.c
Changes: No major functional changes.
License: May be used, modified, and re-distributed freely
*/
/*
Forward declaration of functions
*/
void st_initSeed( void );
long st_randomInteger();
void st_initialize( float * );
void st_init( void );
int st_return( void );
float st_fabs( float );
float st_sqrtf( float );
float st_square( float );
void st_calc_Sum_Mean( float *, float *, float * );
void st_calc_Var_Stddev( float *, float, float *, float * );
void st_calc_LinCorrCoef( float *, float *, float, float, float * );
void st_main( void );
int main( void );
/*
Declaration of global variables
*/
volatile int st_seed;
float st_arrayA[ 1000 ], st_arrayB[ 1000 ];
float st_sumA, st_sumB;
float st_meanA, st_meanB, st_varA, st_varB, st_stddevA, st_stddevB, st_coef;
/*
Initialization- and return-value-related functions
*/
/*
st_initSeed initializes the seed used in the "random" number generator.
*/
void st_initSeed()
{
st_seed = 0;
}
/*
st_RandomInteger generates random integers between 0 and 8094.
*/
long st_randomInteger()
{
st_seed = ( ( st_seed * 133 ) + 81 ) % 8095;
return ( st_seed );
}
void st_initialize( float *array )
{
register int i;
_Pragma( "loopbound min 1000 max 1000" )
for ( i = 0; i < 1000; i++ )
array[ i ] = i + st_randomInteger();
}
void st_init()
{
st_initSeed();
st_initialize( st_arrayA );
st_initialize( st_arrayB );
}
int st_return()
{
float checksum = st_meanA + st_meanB + st_stddevA + st_stddevB + st_coef;
/* allow rounding errors for the checksum */
checksum -= 13695.986328;
return ( ( checksum < 0.000001 && checksum > -0.000001 ) ? 0 : -1 );
}
/*
Arithmetic math functions
*/
float st_fabs( float n )
{
float f;
if ( n >= 0 )
f = n;
else
f = -n;
return ( f );
}
float st_sqrtf( float val )
{
float x = val / 10;
float dx;
float diff;
float min_tol = 0.00001f;
int i, flag = 0;
if ( val == 0 )
x = 0;
else {
_Pragma( "loopbound min 19 max 19" )
for ( i = 1; i < 20; i++ ) {
if ( !flag ) {
dx = ( val - ( x * x ) ) / ( 2.0f * x );
x = x + dx;
diff = val - ( x * x );
if ( st_fabs( diff ) <= min_tol )
flag = 1;
}
}
}
return ( x );
}
float st_square( float x )
{
return ( x * x );
}
/*
Algorithm core functions
*/
void st_calc_Sum_Mean( float *array, float *sum, float *mean )
{
int i;
*sum = 0;
_Pragma( "loopbound min 1000 max 1000" )
for ( i = 0; i < 1000; i++ )
*sum += array[ i ];
*mean = *sum / 1000;
}
void st_calc_Var_Stddev( float *array, float mean, float *var, float *stddev )
{
int i;
float diffs = 0.0f;
_Pragma( "loopbound min 1000 max 1000" )
for ( i = 0; i < 1000; i++ )
diffs += st_square( array[ i ] - mean );
*var = diffs / 1000;
*stddev = st_sqrtf( *var );
}
void st_calc_LinCorrCoef( float *arrayA, float *arrayB, float meanA,
float meanB, float *coef )
{
int i;
float numerator = 0.0f, Aterm = 0.0f, Bterm = 0.0f;
_Pragma( "loopbound min 1000 max 1000" )
for ( i = 0; i < 1000; i++ ) {
numerator += ( arrayA[ i ] - meanA ) * ( arrayB[ i ] - meanB );
Aterm += st_square( arrayA[ i ] - meanA );
Bterm += st_square( arrayB[ i ] - meanB );
}
*coef = numerator / ( st_sqrtf( Aterm ) * st_sqrtf( Bterm ) );
}
/*
Main functions
*/
void _Pragma( "entrypoint" ) st_main( void )
{
st_calc_Sum_Mean( st_arrayA, &st_sumA, &st_meanA );
st_calc_Var_Stddev( st_arrayA, st_meanA, &st_varA, &st_stddevA );
st_calc_Sum_Mean( st_arrayB, &st_sumB, &st_meanB );
st_calc_Var_Stddev( st_arrayB, st_meanB, &st_varB, &st_stddevB );
st_calc_LinCorrCoef( st_arrayA, st_arrayB, st_meanA, st_meanB, &st_coef );
}
int main( void )
{
st_init();
st_main();
return ( st_return() );
}