if (simple_copy_phi_p (phi))
{
- /* FIXME: PRE introduces phi nodes like these, for an example,
+ /* PRE introduces phi nodes like these, for an example,
see id-5.f in the fortran graphite testsuite:
# prephitmp.85_265 = PHI <prephitmp.85_258(33), prephitmp.85_265(18)>
return (gimple_bb_p) bb->aux;
}
+/* Insert in the SCOP context constraints from the estimation of the
+ number of iterations. UB_EXPR is a linear expression describing
+ the number of iterations in a loop. This expression is bounded by
+ the estimation NIT. */
+
+static void
+add_upper_bounds_from_estimated_nit (scop_p scop, double_int nit,
+ ppl_dimension_type dim,
+ ppl_Linear_Expression_t ub_expr)
+{
+ Value val;
+ ppl_Linear_Expression_t nb_iters_le;
+ ppl_Polyhedron_t pol;
+ ppl_Coefficient_t coef;
+ ppl_Constraint_t ub;
+
+ ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
+ ppl_new_C_Polyhedron_from_space_dimension (&pol, dim, 0);
+ ppl_new_Linear_Expression_from_Linear_Expression (&nb_iters_le,
+ ub_expr);
+
+ /* Construct the negated number of last iteration in VAL. */
+ value_init (val);
+ mpz_set_double_int (val, nit, false);
+ value_sub_int (val, val, 1);
+ value_oppose (val, val);
+
+ /* NB_ITERS_LE holds the number of last iteration in
+ parametrical form. Subtract estimated number of last
+ iteration and assert that result is not positive. */
+ ppl_new_Coefficient_from_mpz_t (&coef, val);
+ ppl_Linear_Expression_add_to_inhomogeneous (nb_iters_le, coef);
+ ppl_delete_Coefficient (coef);
+ ppl_new_Constraint (&ub, nb_iters_le,
+ PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
+ ppl_Polyhedron_add_constraint (pol, ub);
+
+ /* Remove all but last GDIM dimensions from POL to obtain
+ only the constraints on the parameters. */
+ {
+ graphite_dim_t gdim = scop_nb_params (scop);
+ ppl_dimension_type *dims = XNEWVEC (ppl_dimension_type, dim - gdim);
+ graphite_dim_t i;
+
+ for (i = 0; i < dim - gdim; i++)
+ dims[i] = i;
+
+ ppl_Polyhedron_remove_space_dimensions (pol, dims, dim - gdim);
+ XDELETEVEC (dims);
+ }
+
+ /* Add the constraints on the parameters to the SCoP context. */
+ {
+ ppl_Pointset_Powerset_C_Polyhedron_t constraints_ps;
+
+ ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
+ (&constraints_ps, pol);
+ ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
+ (SCOP_CONTEXT (scop), constraints_ps);
+ ppl_delete_Pointset_Powerset_C_Polyhedron (constraints_ps);
+ }
+
+ ppl_delete_Polyhedron (pol);
+ ppl_delete_Linear_Expression (nb_iters_le);
+ ppl_delete_Constraint (ub);
+ value_clear (val);
+}
+
/* Builds the constraint polyhedra for LOOP in SCOP. OUTER_PH gives
the constraints for the surrounding loops. */
scan_tree_for_params (SCOP_REGION (scop), nb_iters, ub_expr, one);
value_clear (one);
- /* N <= estimated_nb_iters
-
- FIXME: This is a workaround that should go away once we will
- have the PIP algorithm. */
if (estimated_loop_iterations (loop, true, &nit))
- {
- Value val;
- ppl_Linear_Expression_t nb_iters_le;
- ppl_Polyhedron_t pol;
- graphite_dim_t n = scop_nb_params (scop);
- ppl_Coefficient_t coef;
-
- ppl_new_C_Polyhedron_from_space_dimension (&pol, dim, 0);
- ppl_new_Linear_Expression_from_Linear_Expression (&nb_iters_le,
- ub_expr);
-
- /* Construct the negated number of last iteration in VAL. */
- value_init (val);
- mpz_set_double_int (val, nit, false);
- value_sub_int (val, val, 1);
- value_oppose (val, val);
-
- /* NB_ITERS_LE holds number of last iteration in parametrical form.
- Subtract estimated number of last iteration and assert that result
- is not positive. */
- ppl_new_Coefficient_from_mpz_t (&coef, val);
- ppl_Linear_Expression_add_to_inhomogeneous (nb_iters_le, coef);
- ppl_delete_Coefficient (coef);
- ppl_new_Constraint (&ub, nb_iters_le,
- PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
- ppl_Polyhedron_add_constraint (pol, ub);
-
- /* Remove all but last N dimensions from POL to obtain constraints
- on parameters. */
- {
- ppl_dimension_type *dims = XNEWVEC (ppl_dimension_type, dim - n);
- graphite_dim_t i;
- for (i = 0; i < dim - n; i++)
- dims[i] = i;
- ppl_Polyhedron_remove_space_dimensions (pol, dims, dim - n);
- XDELETEVEC (dims);
- }
-
- /* Add constraints on parameters to SCoP context. */
- {
- ppl_Pointset_Powerset_C_Polyhedron_t constraints_ps;
- ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
- (&constraints_ps, pol);
- ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
- (SCOP_CONTEXT (scop), constraints_ps);
- ppl_delete_Pointset_Powerset_C_Polyhedron (constraints_ps);
- }
-
- ppl_delete_Polyhedron (pol);
- ppl_delete_Linear_Expression (nb_iters_le);
- ppl_delete_Constraint (ub);
- value_clear (val);
- }
+ add_upper_bounds_from_estimated_nit (scop, nit, dim, ub_expr);
/* loop_i <= expr_nb_iters */
ppl_set_coef (ub_expr, nb, -1);
ppl_Linear_Expression_t le;
tree parameter = VEC_index (tree, SESE_PARAMS (SCOP_REGION (scop)), p);
tree type = TREE_TYPE (parameter);
- tree lb, ub;
+ tree lb = NULL_TREE;
+ tree ub = NULL_TREE;
- if (!INTEGRAL_TYPE_P (type))
- return;
+ if (POINTER_TYPE_P (type) || !TYPE_MIN_VALUE (type))
+ lb = lower_bound_in_type (type, type);
+ else
+ lb = TYPE_MIN_VALUE (type);
- lb = TYPE_MIN_VALUE (type);
- ub = TYPE_MAX_VALUE (type);
+ if (POINTER_TYPE_P (type) || !TYPE_MAX_VALUE (type))
+ ub = upper_bound_in_type (type, type);
+ else
+ ub = TYPE_MAX_VALUE (type);
if (lb)
{
gimple stmt = gimple_build_assign (res, zero_dim_array);
tree arg = gimple_phi_arg_def (phi, 0);
- if (TREE_CODE (arg) == SSA_NAME)
+ if (TREE_CODE (arg) == SSA_NAME
+ && !SSA_NAME_IS_DEFAULT_DEF (arg))
insert_out_of_ssa_copy (zero_dim_array, arg);
else
insert_out_of_ssa_copy_on_edge (single_pred_edge (gimple_bb (phi)),
graphite_loop_normal_form (loop);
}
+/* Java does not initialize long_long_integer_type_node. */
+#define my_long_long (long_long_integer_type_node ? long_long_integer_type_node : ssizetype)
+
+/* Can all ivs be represented by a signed integer?
+ As CLooG might generate negative values in its expressions, signed loop ivs
+ are required in the backend. */
+static bool
+scop_ivs_can_be_represented (scop_p scop)
+{
+ loop_iterator li;
+ loop_p loop;
+
+ FOR_EACH_LOOP (li, loop, 0)
+ {
+ tree type;
+ int precision;
+
+ if (!loop_in_sese_p (loop, SCOP_REGION (scop)))
+ continue;
+
+ if (!loop->single_iv)
+ continue;
+
+ type = TREE_TYPE(loop->single_iv);
+ precision = TYPE_PRECISION (type);
+
+ if (TYPE_UNSIGNED (type)
+ && precision >= TYPE_PRECISION (my_long_long))
+ return false;
+ }
+
+ return true;
+}
+
+#undef my_long_long
+
/* Builds the polyhedral representation for a SESE region. */
-bool
+void
build_poly_scop (scop_p scop)
{
sese region = SCOP_REGION (scop);
sbitmap reductions = sbitmap_alloc (last_basic_block * 2);
+ graphite_dim_t max_dim;
sbitmap_zero (reductions);
rewrite_commutative_reductions_out_of_ssa (region, reductions);
sense to optimize a scop containing only PBBs that do not belong
to any loops. */
if (nb_pbbs_in_loops (scop) == 0)
- return false;
+ return;
scop_canonicalize_loops (scop);
+ if (!scop_ivs_can_be_represented (scop))
+ return;
+
build_sese_loop_nests (region);
build_sese_conditions (region);
find_scop_parameters (scop);
+ max_dim = PARAM_VALUE (PARAM_GRAPHITE_MAX_NB_SCOP_PARAMS);
+ if (scop_nb_params (scop) > max_dim)
+ return;
+
build_scop_iteration_domain (scop);
build_scop_context (scop);
scop_to_lst (scop);
build_scop_scattering (scop);
build_scop_drs (scop);
- POLY_SCOP_P (scop) = true;
- return true;
+ /* This SCoP has been translated to the polyhedral
+ representation. */
+ POLY_SCOP_P (scop) = true;
}
/* Always return false. Exercise the scop_to_clast function. */
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