The Mälardalen WCET research group maintains a large number of WCET benchmark programs, used to evaluate and compare different types of WCET analysis tools and methods. The benchmarks are collected from several different research groups and tool vendors around the world. Each benchmark is provided as a C source file (file.c). Each benchmark in the table links to a directory with the source file, a call graph (file.cg.pdf) and a scope hierarchy graph (file.sgh.pdf) as Acrobat Reader files. The scope hierarchy graph is a context sensitive graph showing calls to functions and entries to loops. Read here about scope hierarchy graphs. The graphs are produced by our WCET analysis tool SWEET.

We have also added precompiled binaries (in COFF format) for the Renesas H8300 processor. We have used gcc with these parameters. We plan to add more binaries for different targets and some informative text files.

The text file file.facit.txt describes the result of a loop analysis based on the execution of an instrumented version of the benchmark program (i.e. no overestimation).

The following table shortly presents and classifies each benchmark. You can also download a zip file containing all WCET benchmarks source files. The benchmark programs that were selected for the WCET Challenge 2006 are marked with *.

All benchmark programs are, when run as they are, single path programs. For some of the benchmarks, we have added a text file (file.ann) which contains information of an annotation (interval of possible values) that can be made to make the program multipath. The file is in SWEET format, but the comments explains the annotation.

Do not hesitate to contact us if you want to contribute some WCET benchmarks to our selection. NOTE: we also appreciate that, if you use any of our benchmarks in a scientific publication, you refer to our benchmarks using this reference.

Legend: I = uses include files. E = calls external library routines. S = always single path program (no potential flow depenency on external variables, for a discussion, see here). L = contains loops. N = contains nested loops, A = uses arrays and/or matrixes. B = uses bit operations. R = contains recursion. U = contains unstructured code. F = uses floating point calculation (some of the benchmarks define floating point variables that are used for time measurements, these have not been marked. These variables can be removed). Bytes = size of source code file. LOC = lines of source code.

Benchmark Description Comments I E S L N A B R U F Bytes LOC adpcm* Adaptive pulse code modulation algorithm. Completely well-structured code.       √             26852 879 bs Binary search for the array of 15 integer elements. Completely structured.       √   √         4248 114 bsort100 Bubblesort program. Tests the basic loop constructs, integer comparisons, and simple array handling by sorting 100 integers       √ √ √         2779 128 cnt* Counts non-negative numbers in a matrix. Nested loops, well-structured code.       √ √ √         2880 267 compress* Data compression program. Adopted from SPEC95 for WCET-calculation. Only compression is done on a buffer (small one) containing totally random data.       √ √ √         13411 508 cover* Program for testing many paths. A loop containing many switch cases.     √ √             5026 240 crc* Cyclic redundancy check computation on 40 bytes of data. Complex loops, lots of decisions, loop bounds depend on function arguments, function that executes differently the first time it is called.     √ √   √ √       5168 128 duff* Using "Duff's device" from the Jargon file to copy 43 byte array. Unstructured loop with known bound, switch statement     √ √         √   2374 86 edn* Finite Impulse Response (FIR) filter calculations. A lot of vector multiplications and array handling.     √ √ √ √ √       10563 285 expint Series expansion for computing an exponential integral function. Inner loop that only runs once, structural WCET estimate gives heavy overestimate.     √ √ √           4288 157 fac Calculates the faculty function. Uses self-recursion.     √ √       √     332 27 fdct Fast Discrete Cosine Transform. A lot of calculations based on integer array elements.     √ √   √ √       8863 239 fft1 1024-point Fast Fourier Transform using the Cooly-Turkey algorithm. A lot of calculations based on floating point array elements.     √ √ √ √       √ 6244 219 fibcall Simple iterative Fibonacci calculation, used to calculate fib(30). Parameter-dependent function, single-nested loop     √ √             3499 72 fir Finite impulse response filter (signal processing algorithms) over a 700 items long sample. Inner loop with varying number of iterations, loop-iteration dependent decisions.       √ √ √         11965 276 insertsort* Insertion sort on a reversed array of size 10. Input-data dependent nested loop with worst-case of (n^2)/2 iterations (triangular loop).       √ √ √         3892 92 janne_complex* Nested loop program. The inner loops number of iterations depends on the outer loops current iteration number.     √ √ √           1564 64 jfdctint Discrete-cosine transformation on a 8x8 pixel block. Long calculation sequences (i.e., long basic blocks), single-nested loops.     √ √   √         16028 375 lcdnum Read ten values, output half to LCD. Loop with iteration-dependent flow.       √     √       1678 64 lms LMS adaptive signal enhancement. The input signal is a sine wave with added white noise. A lot of floating point calculations.     √ √   √       √ 7720 261 ludcmp LU decomposition algorithm. A lot of calculations based on floating point arrays with the size of 50 elements.       √ √ √       √ 5160 147 matmult* Matrix multiplication of two 20x20 matrices. Multiple calls to the same function, nested function calls, triple-nested loops.     √ √ √ √         3737 163 minver Inversion of floating point matrix. Floating value calculations in 3x3 matrix. Nested loops (3 levels).     √ √ √ √       √ 5805 201 ndes* Complex embedded code. A lot of bit manipulation, shifts, array and matrix calculations.       √   √ √       7345 231 ns* Search in a multi-dimensional array. Return from the middle of a loop nest, deep loop nesting (4 levels).       √ √ √         10436 535 nsichneu* Simulate an extended Petri Net. Automatically generated code containing large amounts of if-statements (more than 250).       √             118351 4253 prime Calculates whether numbers are prime. Uses integer division and modulo function.     √ √             797 47 qsort-exam Non-recursive version of quick sort algorithm. The program sorts 20 floating point numbers in an array. Loop nesting of 3 levels.       √ √ √       √ 4535 121 qurt Root computation of quadratic equations. The real and imaginary parts of the solution are stored in arrays.     √ √   √       √ 4898 166 recursion* A simple example of recursive code. Both self-recursion and mutual recursion are used.     √         √     620 41 select A function to select the Nth largest number in a floating point array. A lot of floating value array calculations, loop nesting (3 levels).       √ √ √       √ 4494 114 sqrt Square root function implemented by Taylor series. Simple numerical calculation.     √ √           √ 3567 77 st Statistics program. This program computes for two arrays of numbers the sum, the mean, the variance, and standard deviation, and the correlation coefficient between the two arrays.   √   √   √       √ 3857 177 statemate* Automatically generated code. Generated by the STAtechart Real-time-Code generator STARC.       √             52618 1276 ud Calculation of matrixes. Loop nesting of 3 levels.     √ √ √           6 K 163