i386: Adjust rtx cost for imulq and imulw [PR115749]
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1 ------------------------------------------------------------------------------
2 -- --
3 -- GNAT RUN-TIME COMPONENTS --
4 -- --
5 -- G N A T . H E A P _ S O R T _ G --
6 -- --
7 -- B o d y --
8 -- --
9 -- Copyright (C) 1995-2024, AdaCore --
10 -- --
11 -- GNAT is free software; you can redistribute it and/or modify it under --
12 -- terms of the GNU General Public License as published by the Free Soft- --
13 -- ware Foundation; either version 3, or (at your option) any later ver- --
14 -- sion. GNAT is distributed in the hope that it will be useful, but WITH- --
15 -- OUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY --
16 -- or FITNESS FOR A PARTICULAR PURPOSE. --
17 -- --
18 -- As a special exception under Section 7 of GPL version 3, you are granted --
19 -- additional permissions described in the GCC Runtime Library Exception, --
20 -- version 3.1, as published by the Free Software Foundation. --
21 -- --
22 -- You should have received a copy of the GNU General Public License and --
23 -- a copy of the GCC Runtime Library Exception along with this program; --
24 -- see the files COPYING3 and COPYING.RUNTIME respectively. If not, see --
25 -- <http://www.gnu.org/licenses/>. --
26 -- --
27 -- GNAT was originally developed by the GNAT team at New York University. --
28 -- Extensive contributions were provided by Ada Core Technologies Inc. --
29 -- --
30 ------------------------------------------------------------------------------
32 package body GNAT.Heap_Sort_G is
34 ----------
35 -- Sort --
36 ----------
38 -- We are using the classical heapsort algorithm (i.e. Floyd's Treesort3)
39 -- as described by Knuth ("The Art of Programming", Volume III, first
40 -- edition, section 5.2.3, p. 145-147) with the modification that is
41 -- mentioned in exercise 18. For more details on this algorithm, see
42 -- Robert B. K. Dewar PhD thesis "The use of Computers in the X-ray
43 -- Phase Problem". University of Chicago, 1968, which was the first
44 -- publication of the modification, which reduces the number of compares
45 -- from 2NlogN to NlogN.
47 procedure Sort (N : Natural) is
48 pragma Annotate (CodePeer, Skip_Analysis);
49 -- CodePeer is sometimes getting confused on this procedure
51 Max : Natural := N;
52 -- Current Max index in tree being sifted
54 procedure Sift (S : Positive);
55 -- This procedure sifts up node S, i.e. converts the subtree rooted
56 -- at node S into a heap, given the precondition that any sons of
57 -- S are already heaps. On entry, the contents of node S is found
58 -- in the temporary (index 0), the actual contents of node S on
59 -- entry are irrelevant. This is just a minor optimization to avoid
60 -- what would otherwise be two junk moves in phase two of the sort.
62 ----------
63 -- Sift --
64 ----------
66 procedure Sift (S : Positive) is
67 C : Positive := S;
68 Son : Positive;
69 Father : Positive;
70 -- Note: by making the above all Positive, we ensure that a test
71 -- against zero for the temporary location can be resolved on the
72 -- basis of types when the routines are inlined.
74 begin
75 -- This is where the optimization is done, normally we would do a
76 -- comparison at each stage between the current node and the larger
77 -- of the two sons, and continue the sift only if the current node
78 -- was less than this maximum. In this modified optimized version,
79 -- we assume that the current node will be less than the larger
80 -- son, and unconditionally sift up. Then when we get to the bottom
81 -- of the tree, we check parents to make sure that we did not make
82 -- a mistake. This roughly cuts the number of comparisons in half,
83 -- since it is almost always the case that our assumption is correct.
85 -- Loop to pull up larger sons
87 loop
88 Son := 2 * C;
90 if Son < Max then
91 if Lt (Son, Son + 1) then
92 Son := Son + 1;
93 end if;
94 elsif Son > Max then
95 exit;
96 end if;
98 Move (Son, C);
99 C := Son;
100 end loop;
102 -- Loop to check fathers
104 while C /= S loop
105 Father := C / 2;
107 if Lt (Father, 0) then
108 Move (Father, C);
109 C := Father;
110 else
111 exit;
112 end if;
113 end loop;
115 -- Last step is to pop the sifted node into place
117 Move (0, C);
118 end Sift;
120 -- Start of processing for Sort
122 begin
123 -- Phase one of heapsort is to build the heap. This is done by
124 -- sifting nodes N/2 .. 1 in sequence.
126 for J in reverse 1 .. N / 2 loop
127 Move (J, 0);
128 Sift (J);
129 end loop;
131 -- In phase 2, the largest node is moved to end, reducing the size
132 -- of the tree by one, and the displaced node is sifted down from
133 -- the top, so that the largest node is again at the top.
135 while Max > 1 loop
136 Move (Max, 0);
137 Move (1, Max);
138 Max := Max - 1;
139 Sift (1);
140 end loop;
142 end Sort;
144 end GNAT.Heap_Sort_G;