#ifdef NDEBUG #undef NDEBUG #endif #include #include #include #include #include #include #include using namespace sylvan; VOID_TASK_0(storm_rf) { Bdd one = Bdd::bddOne(); // the True terminal Bdd zero = Bdd::bddZero(); // the False terminal // check if they really are the True/False terminal assert(one.GetBDD() == sylvan_true); assert(zero.GetBDD() == sylvan_false); Bdd a = Bdd::bddVar(0); // create a BDD variable x_0 Bdd b = Bdd::bddVar(1); // create a BDD variable x_1 // check if a really is the Boolean formula "x_0" assert(!a.isConstant()); assert(a.TopVar() == 0); assert(a.Then() == one); assert(a.Else() == zero); // check if b really is the Boolean formula "x_1" assert(!b.isConstant()); assert(b.TopVar() == 1); assert(b.Then() == one); assert(b.Else() == zero); // compute !a Bdd not_a = !a; // check if !!a is really a assert((!not_a) == a); // compute a * b and !(!a + !b) and check if they are equivalent Bdd a_and_b = a * b; Bdd not_not_a_or_not_b = !(!a + !b); assert(a_and_b == not_not_a_or_not_b); // perform some simple quantification and check the results Bdd ex = a_and_b.ExistAbstract(a); // \exists a . a * b assert(ex == b); Bdd andabs = a.AndAbstract(b, a); // \exists a . a * b using AndAbstract assert(ex == andabs); Bdd univ = a_and_b.UnivAbstract(a); // \forall a . a * b assert(univ == zero); // alternative method to get the cube "ab" using bddCube BddSet variables = a * b; std::vector vec = {1, 1}; assert(a_and_b == Bdd::bddCube(variables, vec)); // test the bddCube method for all combinations assert((!a * !b) == Bdd::bddCube(variables, std::vector({0, 0}))); assert((!a * b) == Bdd::bddCube(variables, std::vector({0, 1}))); assert((!a) == Bdd::bddCube(variables, std::vector({0, 2}))); assert((a * !b) == Bdd::bddCube(variables, std::vector({1, 0}))); assert((a * b) == Bdd::bddCube(variables, std::vector({1, 1}))); assert((a) == Bdd::bddCube(variables, std::vector({1, 2}))); assert((!b) == Bdd::bddCube(variables, std::vector({2, 0}))); assert((b) == Bdd::bddCube(variables, std::vector({2, 1}))); assert(one == Bdd::bddCube(variables, std::vector({2, 2}))); } VOID_TASK_1(_main, void*, arg) { // Initialize Sylvan // With starting size of the nodes table 1 << 21, and maximum size 1 << 27. // With starting size of the cache table 1 << 20, and maximum size 1 << 20. // Memory usage: 24 bytes per node, and 36 bytes per cache bucket // - 1<<24 nodes: 384 MB // - 1<<25 nodes: 768 MB // - 1<<26 nodes: 1536 MB // - 1<<27 nodes: 3072 MB // - 1<<24 cache: 576 MB // - 1<<25 cache: 1152 MB // - 1<<26 cache: 2304 MB // - 1<<27 cache: 4608 MB sylvan_init_package(1LL<<22, 1LL<<26, 1LL<<22, 1LL<<26); // Initialize the BDD module with granularity 1 (cache every operation) // A higher granularity (e.g. 6) often results in better performance in practice sylvan_init_bdd(1); // Now we can do some simple stuff using the C++ objects. CALL(storm_rf); // Report statistics (if SYLVAN_STATS is 1 in the configuration) sylvan_stats_report(stdout, 1); // And quit, freeing memory sylvan_quit(); // We didn't use arg (void)arg; } int main (int argc, char *argv[]) { int n_workers = 0; // automatically detect number of workers size_t deque_size = 0; // default value for the size of task deques for the workers size_t program_stack_size = 0; // default value for the program stack of each pthread // Initialize the Lace framework for workers. lace_init(n_workers, deque_size); // Spawn and start all worker pthreads; suspends current thread until done. lace_startup(program_stack_size, TASK(_main), NULL); // The lace_startup command also exits Lace after _main is completed. return 0; (void)argc; // unused variable (void)argv; // unused variable }