}
/* We can not predict the probabilities of outgoing edges of bb. Set them
- evenly and hope for the best. */
+ evenly and hope for the best. If UNLIKELY_EDGES is not null, distribute
+ even probability for all edges not mentioned in the set. These edges
+ are given PROB_VERY_UNLIKELY probability. */
+
static void
-set_even_probabilities (basic_block bb)
+set_even_probabilities (basic_block bb,
+ hash_set<edge> *unlikely_edges = NULL)
{
int nedges = 0;
edge e;
FOR_EACH_EDGE (e, ei, bb->succs)
if (!(e->flags & (EDGE_EH | EDGE_FAKE)))
nedges ++;
+
+ /* Make the distribution even if all edges are unlikely. */
+ unsigned unlikely_count = unlikely_edges ? unlikely_edges->elements () : 0;
+ if (unlikely_count == nedges)
+ {
+ unlikely_edges = NULL;
+ unlikely_count = 0;
+ }
+
+ unsigned c = nedges - unlikely_count;
+
FOR_EACH_EDGE (e, ei, bb->succs)
if (!(e->flags & (EDGE_EH | EDGE_FAKE)))
- e->probability = (REG_BR_PROB_BASE + nedges / 2) / nedges;
+ {
+ if (unlikely_edges != NULL && unlikely_edges->contains (e))
+ e->probability = PROB_VERY_UNLIKELY;
+ else
+ e->probability = (REG_BR_PROB_BASE + c / 2) / c;
+ }
else
e->probability = 0;
}
/* When there is no successor or only one choice, prediction is easy.
- We are lazy for now and predict only basic blocks with two outgoing
- edges. It is possible to predict generic case too, but we have to
- ignore first match heuristics and do more involved combining. Implement
- this later. */
+ When we have a basic block with more than 2 successors, the situation
+ is more complicated as DS theory cannot be used literally.
+ More precisely, let's assume we predicted edge e1 with probability p1,
+ thus: m1({b1}) = p1. As we're going to combine more than 2 edges, we
+ need to find probability of e.g. m1({b2}), which we don't know.
+ The only approximation is to equally distribute 1-p1 to all edges
+ different from b1.
+
+ According to numbers we've got from SPEC2006 benchark, there's only
+ one interesting reliable predictor (noreturn call), which can be
+ handled with a bit easier approach. */
if (nedges != 2)
{
+ hash_set<edge> unlikely_edges (4);
+
+ /* Identify all edges that have a probability close to very unlikely.
+ Doing the approach for very unlikely doesn't worth for doing as
+ there's no such probability in SPEC2006 benchmark. */
+ edge_prediction **preds = bb_predictions->get (bb);
+ if (preds)
+ for (pred = *preds; pred; pred = pred->ep_next)
+ if (pred->ep_probability <= PROB_VERY_UNLIKELY)
+ unlikely_edges.add (pred->ep_edge);
+
if (!bb->count && !dry_run)
- set_even_probabilities (bb);
+ set_even_probabilities (bb, &unlikely_edges);
clear_bb_predictions (bb);
if (dump_file)
- fprintf (dump_file, "%i edges in bb %i predicted to even probabilities\n",
- nedges, bb->index);
+ {
+ fprintf (dump_file, "Predictions for bb %i\n", bb->index);
+ if (unlikely_edges.elements () == 0)
+ fprintf (dump_file,
+ "%i edges in bb %i predicted to even probabilities\n",
+ nedges, bb->index);
+ else
+ {
+ fprintf (dump_file,
+ "%i edges in bb %i predicted with some unlikely edges\n",
+ nedges, bb->index);
+ FOR_EACH_EDGE (e, ei, bb->succs)
+ if (!(e->flags & (EDGE_EH | EDGE_FAKE)))
+ dump_prediction (dump_file, PRED_COMBINED, e->probability,
+ bb, REASON_NONE, e);
+ }
+ }
return;
}