Add gcc-4.6. Synced to @180989

Change-Id: Ie3676586e1d8e3c8cd9f07d022f450d05fa08439
svn://gcc.gnu.org/svn/gcc/branches/google/gcc-4_6-mobile

1 files changed, 855 insertions, 0 deletions

diff --git a/gcc-4.6/gcc/tree-vect-patterns.c b/gcc-4.6/gcc/tree-vect-patterns.c
new file mode 100644
index 000000000..d4053044d
--- /dev/null
+++ b/gcc-4.6/gcc/tree-vect-patterns.c
@@ -0,0 +1,855 @@
+/* Analysis Utilities for Loop Vectorization.
+   Copyright (C) 2006, 2007, 2008, 2009, 2010 Free Software Foundation, Inc.
+   Contributed by Dorit Nuzman <dorit@il.ibm.com>
+
+This file is part of GCC.
+
+GCC is free software; you can redistribute it and/or modify it under
+the terms of the GNU General Public License as published by the Free
+Software Foundation; either version 3, or (at your option) any later
+version.
+
+GCC is distributed in the hope that it will be useful, but WITHOUT ANY
+WARRANTY; without even the implied warranty of MERCHANTABILITY or
+FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+for more details.
+
+You should have received a copy of the GNU General Public License
+along with GCC; see the file COPYING3.  If not see
+<http://www.gnu.org/licenses/>.  */
+
+#include "config.h"
+#include "system.h"
+#include "coretypes.h"
+#include "tm.h"
+#include "ggc.h"
+#include "tree.h"
+#include "target.h"
+#include "basic-block.h"
+#include "gimple-pretty-print.h"
+#include "tree-flow.h"
+#include "tree-dump.h"
+#include "cfgloop.h"
+#include "expr.h"
+#include "optabs.h"
+#include "params.h"
+#include "tree-data-ref.h"
+#include "tree-vectorizer.h"
+#include "recog.h"
+#include "diagnostic-core.h"
+
+/* Function prototypes */
+static void vect_pattern_recog_1
+  (gimple (* ) (gimple, tree *, tree *), gimple_stmt_iterator);
+static bool widened_name_p (tree, gimple, tree *, gimple *);
+
+/* Pattern recognition functions  */
+static gimple vect_recog_widen_sum_pattern (gimple, tree *, tree *);
+static gimple vect_recog_widen_mult_pattern (gimple, tree *, tree *);
+static gimple vect_recog_dot_prod_pattern (gimple, tree *, tree *);
+static gimple vect_recog_pow_pattern (gimple, tree *, tree *);
+static vect_recog_func_ptr vect_vect_recog_func_ptrs[NUM_PATTERNS] = {
+	vect_recog_widen_mult_pattern,
+	vect_recog_widen_sum_pattern,
+	vect_recog_dot_prod_pattern,
+	vect_recog_pow_pattern};
+
+
+/* Function widened_name_p
+
+   Check whether NAME, an ssa-name used in USE_STMT,
+   is a result of a type-promotion, such that:
+     DEF_STMT: NAME = NOP (name0)
+   where the type of name0 (HALF_TYPE) is smaller than the type of NAME.
+*/
+
+static bool
+widened_name_p (tree name, gimple use_stmt, tree *half_type, gimple *def_stmt)
+{
+  tree dummy;
+  gimple dummy_gimple;
+  loop_vec_info loop_vinfo;
+  stmt_vec_info stmt_vinfo;
+  tree type = TREE_TYPE (name);
+  tree oprnd0;
+  enum vect_def_type dt;
+  tree def;
+
+  stmt_vinfo = vinfo_for_stmt (use_stmt);
+  loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
+
+  if (!vect_is_simple_use (name, loop_vinfo, NULL, def_stmt, &def, &dt))
+    return false;
+
+  if (dt != vect_internal_def
+      && dt != vect_external_def && dt != vect_constant_def)
+    return false;
+
+  if (! *def_stmt)
+    return false;
+
+  if (!is_gimple_assign (*def_stmt))
+    return false;
+
+  if (gimple_assign_rhs_code (*def_stmt) != NOP_EXPR)
+    return false;
+
+  oprnd0 = gimple_assign_rhs1 (*def_stmt);
+
+  *half_type = TREE_TYPE (oprnd0);
+  if (!INTEGRAL_TYPE_P (type) || !INTEGRAL_TYPE_P (*half_type)
+      || (TYPE_UNSIGNED (type) != TYPE_UNSIGNED (*half_type))
+      || (TYPE_PRECISION (type) < (TYPE_PRECISION (*half_type) * 2)))
+    return false;
+
+  if (!vect_is_simple_use (oprnd0, loop_vinfo, NULL, &dummy_gimple, &dummy,
+                           &dt))
+    return false;
+
+  return true;
+}
+
+/* Helper to return a new temporary for pattern of TYPE for STMT.  If STMT
+   is NULL, the caller must set SSA_NAME_DEF_STMT for the returned SSA var. */
+
+static tree
+vect_recog_temp_ssa_var (tree type, gimple stmt)
+{
+  tree var = create_tmp_var (type, "patt");
+
+  add_referenced_var (var);
+  var = make_ssa_name (var, stmt);
+  return var;
+}
+
+/* Function vect_recog_dot_prod_pattern
+
+   Try to find the following pattern:
+
+     type x_t, y_t;
+     TYPE1 prod;
+     TYPE2 sum = init;
+   loop:
+     sum_0 = phi <init, sum_1>
+     S1  x_t = ...
+     S2  y_t = ...
+     S3  x_T = (TYPE1) x_t;
+     S4  y_T = (TYPE1) y_t;
+     S5  prod = x_T * y_T;
+     [S6  prod = (TYPE2) prod;  #optional]
+     S7  sum_1 = prod + sum_0;
+
+   where 'TYPE1' is exactly double the size of type 'type', and 'TYPE2' is the
+   same size of 'TYPE1' or bigger. This is a special case of a reduction
+   computation.
+
+   Input:
+
+   * LAST_STMT: A stmt from which the pattern search begins. In the example,
+   when this function is called with S7, the pattern {S3,S4,S5,S6,S7} will be
+   detected.
+
+   Output:
+
+   * TYPE_IN: The type of the input arguments to the pattern.
+
+   * TYPE_OUT: The type of the output  of this pattern.
+
+   * Return value: A new stmt that will be used to replace the sequence of
+   stmts that constitute the pattern. In this case it will be:
+        WIDEN_DOT_PRODUCT <x_t, y_t, sum_0>
+
+   Note: The dot-prod idiom is a widening reduction pattern that is
+         vectorized without preserving all the intermediate results. It
+         produces only N/2 (widened) results (by summing up pairs of
+         intermediate results) rather than all N results.  Therefore, we
+         cannot allow this pattern when we want to get all the results and in
+         the correct order (as is the case when this computation is in an
+         inner-loop nested in an outer-loop that us being vectorized).  */
+
+static gimple
+vect_recog_dot_prod_pattern (gimple last_stmt, tree *type_in, tree *type_out)
+{
+  gimple stmt;
+  tree oprnd0, oprnd1;
+  tree oprnd00, oprnd01;
+  stmt_vec_info stmt_vinfo = vinfo_for_stmt (last_stmt);
+  tree type, half_type;
+  gimple pattern_stmt;
+  tree prod_type;
+  loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
+  struct loop *loop = LOOP_VINFO_LOOP (loop_info);
+  tree var, rhs;
+
+  if (!is_gimple_assign (last_stmt))
+    return NULL;
+
+  type = gimple_expr_type (last_stmt);
+
+  /* Look for the following pattern
+          DX = (TYPE1) X;
+          DY = (TYPE1) Y;
+          DPROD = DX * DY;
+          DDPROD = (TYPE2) DPROD;
+          sum_1 = DDPROD + sum_0;
+     In which
+     - DX is double the size of X
+     - DY is double the size of Y
+     - DX, DY, DPROD all have the same type
+     - sum is the same size of DPROD or bigger
+     - sum has been recognized as a reduction variable.
+
+     This is equivalent to:
+       DPROD = X w* Y;          #widen mult
+       sum_1 = DPROD w+ sum_0;  #widen summation
+     or
+       DPROD = X w* Y;          #widen mult
+       sum_1 = DPROD + sum_0;   #summation
+   */
+
+  /* Starting from LAST_STMT, follow the defs of its uses in search
+     of the above pattern.  */
+
+  if (gimple_assign_rhs_code (last_stmt) != PLUS_EXPR)
+    return NULL;
+
+  if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo))
+    {
+      /* Has been detected as widening-summation?  */
+
+      stmt = STMT_VINFO_RELATED_STMT (stmt_vinfo);
+      type = gimple_expr_type (stmt);
+      if (gimple_assign_rhs_code (stmt) != WIDEN_SUM_EXPR)
+        return NULL;
+      oprnd0 = gimple_assign_rhs1 (stmt);
+      oprnd1 = gimple_assign_rhs2 (stmt);
+      half_type = TREE_TYPE (oprnd0);
+    }
+  else
+    {
+      gimple def_stmt;
+
+      if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def)
+        return NULL;
+      oprnd0 = gimple_assign_rhs1 (last_stmt);
+      oprnd1 = gimple_assign_rhs2 (last_stmt);
+      if (!types_compatible_p (TREE_TYPE (oprnd0), type)
+	  || !types_compatible_p (TREE_TYPE (oprnd1), type))
+        return NULL;
+      stmt = last_stmt;
+
+      if (widened_name_p (oprnd0, stmt, &half_type, &def_stmt))
+        {
+          stmt = def_stmt;
+          oprnd0 = gimple_assign_rhs1 (stmt);
+        }
+      else
+        half_type = type;
+    }
+
+  /* So far so good. Since last_stmt was detected as a (summation) reduction,
+     we know that oprnd1 is the reduction variable (defined by a loop-header
+     phi), and oprnd0 is an ssa-name defined by a stmt in the loop body.
+     Left to check that oprnd0 is defined by a (widen_)mult_expr  */
+
+  prod_type = half_type;
+  stmt = SSA_NAME_DEF_STMT (oprnd0);
+
+  /* It could not be the dot_prod pattern if the stmt is outside the loop.  */
+  if (!gimple_bb (stmt) || !flow_bb_inside_loop_p (loop, gimple_bb (stmt)))
+    return NULL;
+
+  /* FORNOW.  Can continue analyzing the def-use chain when this stmt in a phi
+     inside the loop (in case we are analyzing an outer-loop).  */
+  if (!is_gimple_assign (stmt))
+    return NULL;
+  stmt_vinfo = vinfo_for_stmt (stmt);
+  gcc_assert (stmt_vinfo);
+  if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_internal_def)
+    return NULL;
+  if (gimple_assign_rhs_code (stmt) != MULT_EXPR)
+    return NULL;
+  if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo))
+    {
+      /* Has been detected as a widening multiplication?  */
+
+      stmt = STMT_VINFO_RELATED_STMT (stmt_vinfo);
+      if (gimple_assign_rhs_code (stmt) != WIDEN_MULT_EXPR)
+        return NULL;
+      stmt_vinfo = vinfo_for_stmt (stmt);
+      gcc_assert (stmt_vinfo);
+      gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_internal_def);
+      oprnd00 = gimple_assign_rhs1 (stmt);
+      oprnd01 = gimple_assign_rhs2 (stmt);
+    }
+  else
+    {
+      tree half_type0, half_type1;
+      gimple def_stmt;
+      tree oprnd0, oprnd1;
+
+      oprnd0 = gimple_assign_rhs1 (stmt);
+      oprnd1 = gimple_assign_rhs2 (stmt);
+      if (!types_compatible_p (TREE_TYPE (oprnd0), prod_type)
+          || !types_compatible_p (TREE_TYPE (oprnd1), prod_type))
+        return NULL;
+      if (!widened_name_p (oprnd0, stmt, &half_type0, &def_stmt))
+        return NULL;
+      oprnd00 = gimple_assign_rhs1 (def_stmt);
+      if (!widened_name_p (oprnd1, stmt, &half_type1, &def_stmt))
+        return NULL;
+      oprnd01 = gimple_assign_rhs1 (def_stmt);
+      if (!types_compatible_p (half_type0, half_type1))
+        return NULL;
+      if (TYPE_PRECISION (prod_type) != TYPE_PRECISION (half_type0) * 2)
+	return NULL;
+    }
+
+  half_type = TREE_TYPE (oprnd00);
+  *type_in = half_type;
+  *type_out = type;
+
+  /* Pattern detected. Create a stmt to be used to replace the pattern: */
+  var = vect_recog_temp_ssa_var (type, NULL);
+  rhs =	build3 (DOT_PROD_EXPR, type, oprnd00, oprnd01, oprnd1),
+  pattern_stmt = gimple_build_assign (var, rhs);
+
+  if (vect_print_dump_info (REPORT_DETAILS))
+    {
+      fprintf (vect_dump, "vect_recog_dot_prod_pattern: detected: ");
+      print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);
+    }
+
+  /* We don't allow changing the order of the computation in the inner-loop
+     when doing outer-loop vectorization.  */
+  gcc_assert (!nested_in_vect_loop_p (loop, last_stmt));
+
+  return pattern_stmt;
+}
+
+/* Function vect_recog_widen_mult_pattern
+
+   Try to find the following pattern:
+
+     type a_t, b_t;
+     TYPE a_T, b_T, prod_T;
+
+     S1  a_t = ;
+     S2  b_t = ;
+     S3  a_T = (TYPE) a_t;
+     S4  b_T = (TYPE) b_t;
+     S5  prod_T = a_T * b_T;
+
+   where type 'TYPE' is at least double the size of type 'type'.
+
+   Input:
+
+   * LAST_STMT: A stmt from which the pattern search begins. In the example,
+   when this function is called with S5, the pattern {S3,S4,S5} is be detected.
+
+   Output:
+
+   * TYPE_IN: The type of the input arguments to the pattern.
+
+   * TYPE_OUT: The type of the output  of this pattern.
+
+   * Return value: A new stmt that will be used to replace the sequence of
+   stmts that constitute the pattern. In this case it will be:
+        WIDEN_MULT <a_t, b_t>
+*/
+
+static gimple
+vect_recog_widen_mult_pattern (gimple last_stmt,
+			       tree *type_in,
+			       tree *type_out)
+{
+  gimple def_stmt0, def_stmt1;
+  tree oprnd0, oprnd1;
+  tree type, half_type0, half_type1;
+  gimple pattern_stmt;
+  tree vectype, vectype_out;
+  tree dummy;
+  tree var;
+  enum tree_code dummy_code;
+  int dummy_int;
+  VEC (tree, heap) *dummy_vec;
+
+  if (!is_gimple_assign (last_stmt))
+    return NULL;
+
+  type = gimple_expr_type (last_stmt);
+
+  /* Starting from LAST_STMT, follow the defs of its uses in search
+     of the above pattern.  */
+
+  if (gimple_assign_rhs_code (last_stmt) != MULT_EXPR)
+    return NULL;
+
+  oprnd0 = gimple_assign_rhs1 (last_stmt);
+  oprnd1 = gimple_assign_rhs2 (last_stmt);
+  if (!types_compatible_p (TREE_TYPE (oprnd0), type)
+      || !types_compatible_p (TREE_TYPE (oprnd1), type))
+    return NULL;
+
+  /* Check argument 0 */
+  if (!widened_name_p (oprnd0, last_stmt, &half_type0, &def_stmt0))
+    return NULL;
+  oprnd0 = gimple_assign_rhs1 (def_stmt0);
+
+  /* Check argument 1 */
+  if (!widened_name_p (oprnd1, last_stmt, &half_type1, &def_stmt1))
+    return NULL;
+  oprnd1 = gimple_assign_rhs1 (def_stmt1);
+
+  if (!types_compatible_p (half_type0, half_type1))
+    return NULL;
+
+  /* Pattern detected.  */
+  if (vect_print_dump_info (REPORT_DETAILS))
+    fprintf (vect_dump, "vect_recog_widen_mult_pattern: detected: ");
+
+  /* Check target support  */
+  vectype = get_vectype_for_scalar_type (half_type0);
+  vectype_out = get_vectype_for_scalar_type (type);
+  if (!vectype
+      || !vectype_out
+      || !supportable_widening_operation (WIDEN_MULT_EXPR, last_stmt,
+					  vectype_out, vectype,
+					  &dummy, &dummy, &dummy_code,
+					  &dummy_code, &dummy_int, &dummy_vec))
+    return NULL;
+
+  *type_in = vectype;
+  *type_out = vectype_out;
+
+  /* Pattern supported. Create a stmt to be used to replace the pattern: */
+  var = vect_recog_temp_ssa_var (type, NULL);
+  pattern_stmt = gimple_build_assign_with_ops (WIDEN_MULT_EXPR, var, oprnd0,
+					       oprnd1);
+  SSA_NAME_DEF_STMT (var) = pattern_stmt;
+
+  if (vect_print_dump_info (REPORT_DETAILS))
+    print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);
+
+  return pattern_stmt;
+}
+
+
+/* Function vect_recog_pow_pattern
+
+   Try to find the following pattern:
+
+     x = POW (y, N);
+
+   with POW being one of pow, powf, powi, powif and N being
+   either 2 or 0.5.
+
+   Input:
+
+   * LAST_STMT: A stmt from which the pattern search begins.
+
+   Output:
+
+   * TYPE_IN: The type of the input arguments to the pattern.
+
+   * TYPE_OUT: The type of the output of this pattern.
+
+   * Return value: A new stmt that will be used to replace the sequence of
+   stmts that constitute the pattern. In this case it will be:
+        x = x * x
+   or
+	x = sqrt (x)
+*/
+
+static gimple
+vect_recog_pow_pattern (gimple last_stmt, tree *type_in, tree *type_out)
+{
+  tree fn, base, exp = NULL;
+  gimple stmt;
+  tree var;
+
+  if (!is_gimple_call (last_stmt) || gimple_call_lhs (last_stmt) == NULL)
+    return NULL;
+
+  fn = gimple_call_fndecl (last_stmt);
+  if (fn == NULL_TREE || DECL_BUILT_IN_CLASS (fn) != BUILT_IN_NORMAL)
+   return NULL;
+
+  switch (DECL_FUNCTION_CODE (fn))
+    {
+    case BUILT_IN_POWIF:
+    case BUILT_IN_POWI:
+    case BUILT_IN_POWF:
+    case BUILT_IN_POW:
+      base = gimple_call_arg (last_stmt, 0);
+      exp = gimple_call_arg (last_stmt, 1);
+      if (TREE_CODE (exp) != REAL_CST
+	  && TREE_CODE (exp) != INTEGER_CST)
+        return NULL;
+      break;
+
+    default:
+      return NULL;
+    }
+
+  /* We now have a pow or powi builtin function call with a constant
+     exponent.  */
+
+  *type_out = NULL_TREE;
+
+  /* Catch squaring.  */
+  if ((host_integerp (exp, 0)
+       && tree_low_cst (exp, 0) == 2)
+      || (TREE_CODE (exp) == REAL_CST
+          && REAL_VALUES_EQUAL (TREE_REAL_CST (exp), dconst2)))
+    {
+      *type_in = TREE_TYPE (base);
+
+      var = vect_recog_temp_ssa_var (TREE_TYPE (base), NULL);
+      stmt = gimple_build_assign_with_ops (MULT_EXPR, var, base, base);
+      SSA_NAME_DEF_STMT (var) = stmt;
+      return stmt;
+    }
+
+  /* Catch square root.  */
+  if (TREE_CODE (exp) == REAL_CST
+      && REAL_VALUES_EQUAL (TREE_REAL_CST (exp), dconsthalf))
+    {
+      tree newfn = mathfn_built_in (TREE_TYPE (base), BUILT_IN_SQRT);
+      *type_in = get_vectype_for_scalar_type (TREE_TYPE (base));
+      if (*type_in)
+	{
+	  gimple stmt = gimple_build_call (newfn, 1, base);
+	  if (vectorizable_function (stmt, *type_in, *type_in)
+	      != NULL_TREE)
+	    {
+	      var = vect_recog_temp_ssa_var (TREE_TYPE (base), stmt);
+	      gimple_call_set_lhs (stmt, var);
+	      return stmt;
+	    }
+	}
+    }
+
+  return NULL;
+}
+
+
+/* Function vect_recog_widen_sum_pattern
+
+   Try to find the following pattern:
+
+     type x_t;
+     TYPE x_T, sum = init;
+   loop:
+     sum_0 = phi <init, sum_1>
+     S1  x_t = *p;
+     S2  x_T = (TYPE) x_t;
+     S3  sum_1 = x_T + sum_0;
+
+   where type 'TYPE' is at least double the size of type 'type', i.e - we're
+   summing elements of type 'type' into an accumulator of type 'TYPE'. This is
+   a special case of a reduction computation.
+
+   Input:
+
+   * LAST_STMT: A stmt from which the pattern search begins. In the example,
+   when this function is called with S3, the pattern {S2,S3} will be detected.
+
+   Output:
+
+   * TYPE_IN: The type of the input arguments to the pattern.
+
+   * TYPE_OUT: The type of the output of this pattern.
+
+   * Return value: A new stmt that will be used to replace the sequence of
+   stmts that constitute the pattern. In this case it will be:
+        WIDEN_SUM <x_t, sum_0>
+
+   Note: The widening-sum idiom is a widening reduction pattern that is
+	 vectorized without preserving all the intermediate results. It
+         produces only N/2 (widened) results (by summing up pairs of
+	 intermediate results) rather than all N results.  Therefore, we
+	 cannot allow this pattern when we want to get all the results and in
+	 the correct order (as is the case when this computation is in an
+	 inner-loop nested in an outer-loop that us being vectorized).  */
+
+static gimple
+vect_recog_widen_sum_pattern (gimple last_stmt, tree *type_in, tree *type_out)
+{
+  gimple stmt;
+  tree oprnd0, oprnd1;
+  stmt_vec_info stmt_vinfo = vinfo_for_stmt (last_stmt);
+  tree type, half_type;
+  gimple pattern_stmt;
+  loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
+  struct loop *loop = LOOP_VINFO_LOOP (loop_info);
+  tree var;
+
+  if (!is_gimple_assign (last_stmt))
+    return NULL;
+
+  type = gimple_expr_type (last_stmt);
+
+  /* Look for the following pattern
+          DX = (TYPE) X;
+          sum_1 = DX + sum_0;
+     In which DX is at least double the size of X, and sum_1 has been
+     recognized as a reduction variable.
+   */
+
+  /* Starting from LAST_STMT, follow the defs of its uses in search
+     of the above pattern.  */
+
+  if (gimple_assign_rhs_code (last_stmt) != PLUS_EXPR)
+    return NULL;
+
+  if (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def)
+    return NULL;
+
+  oprnd0 = gimple_assign_rhs1 (last_stmt);
+  oprnd1 = gimple_assign_rhs2 (last_stmt);
+  if (!types_compatible_p (TREE_TYPE (oprnd0), type)
+      || !types_compatible_p (TREE_TYPE (oprnd1), type))
+    return NULL;
+
+  /* So far so good. Since last_stmt was detected as a (summation) reduction,
+     we know that oprnd1 is the reduction variable (defined by a loop-header
+     phi), and oprnd0 is an ssa-name defined by a stmt in the loop body.
+     Left to check that oprnd0 is defined by a cast from type 'type' to type
+     'TYPE'.  */
+
+  if (!widened_name_p (oprnd0, last_stmt, &half_type, &stmt))
+    return NULL;
+
+  oprnd0 = gimple_assign_rhs1 (stmt);
+  *type_in = half_type;
+  *type_out = type;
+
+  /* Pattern detected. Create a stmt to be used to replace the pattern: */
+  var = vect_recog_temp_ssa_var (type, NULL);
+  pattern_stmt = gimple_build_assign_with_ops (WIDEN_SUM_EXPR, var,
+					       oprnd0, oprnd1);
+  SSA_NAME_DEF_STMT (var) = pattern_stmt;
+
+  if (vect_print_dump_info (REPORT_DETAILS))
+    {
+      fprintf (vect_dump, "vect_recog_widen_sum_pattern: detected: ");
+      print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);
+    }
+
+  /* We don't allow changing the order of the computation in the inner-loop
+     when doing outer-loop vectorization.  */
+  gcc_assert (!nested_in_vect_loop_p (loop, last_stmt));
+
+  return pattern_stmt;
+}
+
+
+/* Function vect_pattern_recog_1
+
+   Input:
+   PATTERN_RECOG_FUNC: A pointer to a function that detects a certain
+        computation pattern.
+   STMT: A stmt from which the pattern search should start.
+
+   If PATTERN_RECOG_FUNC successfully detected the pattern, it creates an
+   expression that computes the same functionality and can be used to
+   replace the sequence of stmts that are involved in the pattern.
+
+   Output:
+   This function checks if the expression returned by PATTERN_RECOG_FUNC is
+   supported in vector form by the target.  We use 'TYPE_IN' to obtain the
+   relevant vector type. If 'TYPE_IN' is already a vector type, then this
+   indicates that target support had already been checked by PATTERN_RECOG_FUNC.
+   If 'TYPE_OUT' is also returned by PATTERN_RECOG_FUNC, we check that it fits
+   to the available target pattern.
+
+   This function also does some bookkeeping, as explained in the documentation
+   for vect_recog_pattern.  */
+
+static void
+vect_pattern_recog_1 (
+	gimple (* vect_recog_func) (gimple, tree *, tree *),
+	gimple_stmt_iterator si)
+{
+  gimple stmt = gsi_stmt (si), pattern_stmt;
+  stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
+  stmt_vec_info pattern_stmt_info;
+  loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
+  tree pattern_vectype;
+  tree type_in, type_out;
+  enum tree_code code;
+  int i;
+  gimple next;
+
+  pattern_stmt = (* vect_recog_func) (stmt, &type_in, &type_out);
+  if (!pattern_stmt)
+    return;
+
+  if (VECTOR_MODE_P (TYPE_MODE (type_in)))
+    {
+      /* No need to check target support (already checked by the pattern
+         recognition function).  */
+      if (type_out)
+	gcc_assert (VECTOR_MODE_P (TYPE_MODE (type_out)));
+      pattern_vectype = type_out ? type_out : type_in;
+    }
+  else
+    {
+      enum machine_mode vec_mode;
+      enum insn_code icode;
+      optab optab;
+
+      /* Check target support  */
+      type_in = get_vectype_for_scalar_type (type_in);
+      if (!type_in)
+	return;
+      if (type_out)
+	type_out = get_vectype_for_scalar_type (type_out);
+      else
+	type_out = type_in;
+      if (!type_out)
+	return;
+      pattern_vectype = type_out;
+
+      if (is_gimple_assign (pattern_stmt))
+	code = gimple_assign_rhs_code (pattern_stmt);
+      else
+        {
+	  gcc_assert (is_gimple_call (pattern_stmt));
+	  code = CALL_EXPR;
+	}
+
+      optab = optab_for_tree_code (code, type_in, optab_default);
+      vec_mode = TYPE_MODE (type_in);
+      if (!optab
+          || (icode = optab_handler (optab, vec_mode)) == CODE_FOR_nothing
+          || (insn_data[icode].operand[0].mode != TYPE_MODE (type_out)))
+	return;
+    }
+
+  /* Found a vectorizable pattern.  */
+  if (vect_print_dump_info (REPORT_DETAILS))
+    {
+      fprintf (vect_dump, "pattern recognized: ");
+      print_gimple_stmt (vect_dump, pattern_stmt, 0, TDF_SLIM);
+    }
+
+  /* Mark the stmts that are involved in the pattern. */
+  gsi_insert_before (&si, pattern_stmt, GSI_SAME_STMT);
+  set_vinfo_for_stmt (pattern_stmt,
+		      new_stmt_vec_info (pattern_stmt, loop_vinfo, NULL));
+  pattern_stmt_info = vinfo_for_stmt (pattern_stmt);
+
+  STMT_VINFO_RELATED_STMT (pattern_stmt_info) = stmt;
+  STMT_VINFO_DEF_TYPE (pattern_stmt_info) = STMT_VINFO_DEF_TYPE (stmt_info);
+  STMT_VINFO_VECTYPE (pattern_stmt_info) = pattern_vectype;
+  STMT_VINFO_IN_PATTERN_P (stmt_info) = true;
+  STMT_VINFO_RELATED_STMT (stmt_info) = pattern_stmt;
+
+  /* Patterns cannot be vectorized using SLP, because they change the order of
+     computation.  */
+  FOR_EACH_VEC_ELT (gimple, LOOP_VINFO_REDUCTIONS (loop_vinfo), i, next)
+    if (next == stmt)
+      VEC_ordered_remove (gimple, LOOP_VINFO_REDUCTIONS (loop_vinfo), i); 
+}
+
+
+/* Function vect_pattern_recog
+
+   Input:
+   LOOP_VINFO - a struct_loop_info of a loop in which we want to look for
+        computation idioms.
+
+   Output - for each computation idiom that is detected we insert a new stmt
+        that provides the same functionality and that can be vectorized. We
+        also record some information in the struct_stmt_info of the relevant
+        stmts, as explained below:
+
+   At the entry to this function we have the following stmts, with the
+   following initial value in the STMT_VINFO fields:
+
+         stmt                     in_pattern_p  related_stmt    vec_stmt
+         S1: a_i = ....                 -       -               -
+         S2: a_2 = ..use(a_i)..         -       -               -
+         S3: a_1 = ..use(a_2)..         -       -               -
+         S4: a_0 = ..use(a_1)..         -       -               -
+         S5: ... = ..use(a_0)..         -       -               -
+
+   Say the sequence {S1,S2,S3,S4} was detected as a pattern that can be
+   represented by a single stmt. We then:
+   - create a new stmt S6 that will replace the pattern.
+   - insert the new stmt S6 before the last stmt in the pattern
+   - fill in the STMT_VINFO fields as follows:
+
+                                  in_pattern_p  related_stmt    vec_stmt
+         S1: a_i = ....                 -       -               -
+         S2: a_2 = ..use(a_i)..         -       -               -
+         S3: a_1 = ..use(a_2)..         -       -               -
+       > S6: a_new = ....               -       S4              -
+         S4: a_0 = ..use(a_1)..         true    S6              -
+         S5: ... = ..use(a_0)..         -       -               -
+
+   (the last stmt in the pattern (S4) and the new pattern stmt (S6) point
+    to each other through the RELATED_STMT field).
+
+   S6 will be marked as relevant in vect_mark_stmts_to_be_vectorized instead
+   of S4 because it will replace all its uses.  Stmts {S1,S2,S3} will
+   remain irrelevant unless used by stmts other than S4.
+
+   If vectorization succeeds, vect_transform_stmt will skip over {S1,S2,S3}
+   (because they are marked as irrelevant). It will vectorize S6, and record
+   a pointer to the new vector stmt VS6 both from S6 (as usual), and also
+   from S4. We do that so that when we get to vectorizing stmts that use the
+   def of S4 (like S5 that uses a_0), we'll know where to take the relevant
+   vector-def from. S4 will be skipped, and S5 will be vectorized as usual:
+
+                                  in_pattern_p  related_stmt    vec_stmt
+         S1: a_i = ....                 -       -               -
+         S2: a_2 = ..use(a_i)..         -       -               -
+         S3: a_1 = ..use(a_2)..         -       -               -
+       > VS6: va_new = ....             -       -               -
+         S6: a_new = ....               -       S4              VS6
+         S4: a_0 = ..use(a_1)..         true    S6              VS6
+       > VS5: ... = ..vuse(va_new)..    -       -               -
+         S5: ... = ..use(a_0)..         -       -               -
+
+   DCE could then get rid of {S1,S2,S3,S4,S5,S6} (if their defs are not used
+   elsewhere), and we'll end up with:
+
+        VS6: va_new = ....
+        VS5: ... = ..vuse(va_new)..
+
+   If vectorization does not succeed, DCE will clean S6 away (its def is
+   not used), and we'll end up with the original sequence.
+*/
+
+void
+vect_pattern_recog (loop_vec_info loop_vinfo)
+{
+  struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
+  basic_block *bbs = LOOP_VINFO_BBS (loop_vinfo);
+  unsigned int nbbs = loop->num_nodes;
+  gimple_stmt_iterator si;
+  unsigned int i, j;
+  gimple (* vect_recog_func_ptr) (gimple, tree *, tree *);
+
+  if (vect_print_dump_info (REPORT_DETAILS))
+    fprintf (vect_dump, "=== vect_pattern_recog ===");
+
+  /* Scan through the loop stmts, applying the pattern recognition
+     functions starting at each stmt visited:  */
+  for (i = 0; i < nbbs; i++)
+    {
+      basic_block bb = bbs[i];
+      for (si = gsi_start_bb (bb); !gsi_end_p (si); gsi_next (&si))
+        {
+          /* Scan over all generic vect_recog_xxx_pattern functions.  */
+          for (j = 0; j < NUM_PATTERNS; j++)
+            {
+              vect_recog_func_ptr = vect_vect_recog_func_ptrs[j];
+              vect_pattern_recog_1 (vect_recog_func_ptr, si);
+            }
+        }
+    }
+}