/*
- * Copyright (C) 1995-2007 University of Karlsruhe. All right reserved.
+ * Copyright (C) 1995-2008 University of Karlsruhe. All right reserved.
*
* This file is part of libFirm.
*
* @brief Copy minimization driver.
* @author Daniel Grund
* @date 11.04.2005
- * @version $Id$
*
* Main file for the optimization reducing the copies needed for:
* - Phi coalescing
#ifndef FIRM_BE_BECOPYOPT_H
#define FIRM_BE_BECOPYOPT_H
-#include <stdio.h>
+#include <stdbool.h>
#include "firm_types.h"
#include "bechordal.h"
-/**
- * Flags for dumping the IFG.
- */
-enum {
- CO_IFG_DUMP_COLORS = 1, /**< Dump the graph colored. */
- CO_IFG_DUMP_LABELS = 2, /**< Dump node/edge labels. */
- CO_IFG_DUMP_SHAPE = 4, /**< Give constrained nodes special shapes. */
- CO_IFG_DUMP_CONSTR = 8 /**< Dump the node constraints in the label. */
-};
+typedef int(*cost_fct_t)(const ir_node *node, int input);
+
+typedef struct {
+ int (*copyopt)(copy_opt_t *co); /**< function ptr to run copyopt */
+ bool can_improve_existing;
+} co_algo_info;
/**
- * Algorithms.
+ * Register a new copy optimization algorithm.
+ *
+ * @param name the name of the copy optimazation algorithm,
+ * used to select it
+ * @param copyopt a copy optimazation entry
*/
-enum {
- CO_ALGO_NONE,
- CO_ALGO_HEUR,
- CO_ALGO_HEUR2,
- CO_ALGO_HEUR3,
- CO_ALGO_HEUR4,
- CO_ALGO_ILP,
- CO_ALGO_LAST
-};
+void be_register_copyopt(const char *name, co_algo_info *copyopt);
/** The driver for copy minimization. */
void co_driver(be_chordal_env_t *cenv);
-typedef struct _copy_opt_t copy_opt_t;
-
-typedef int(*cost_fct_t)(const copy_opt_t *, ir_node *, ir_node *, int);
-
-/** A coalescing algorithm. */
-typedef int (co_algo_t)(copy_opt_t *);
-
/**
* Generate the problem. Collect all information and optimizable nodes.
*/
*/
void free_copy_opt(copy_opt_t *co);
-/**
- * Checks if a node is optimizable, viz. has something to do with coalescing
- * @param arch The architecture environment
- * @param irn The irn to check
- */
-int co_is_optimizable_root(const copy_opt_t *co, ir_node *irn);
-
-/**
- * Computes the costs of a copy according to loop depth
- * @param co The copy opt object.
- * @param pos the argument position of arg in the root arguments
- * @return Must be >= 0 in all cases.
- */
-int co_get_costs_loop_depth(const copy_opt_t *co, ir_node *root, ir_node* arg, int pos);
-
-/**
- * Computes the costs of a copy according to execution frequency
- * @param co The copy opt object.
- * @param pos the argument position of arg in the root arguments
- * @return Must be >= 0 in all cases.
- */
-int co_get_costs_exec_freq(const copy_opt_t *co, ir_node *root, ir_node* arg, int pos);
-
-/**
- * All costs equal 1. Using this will reduce the _number_ of copies.
- * @param co The copy opt object.
- * @return Must be >= 0 in all cases.
- */
-int co_get_costs_all_one(const copy_opt_t *co, ir_node *root, ir_node* arg, int pos);
-
/**
* Statistics over a copy optimization module.
*/
typedef struct {
- ulong64 aff_edges; /**< number of affinity edges. */
- ulong64 aff_nodes; /**< number of nodes with incident affinity edges. */
- ulong64 aff_int; /**< number of affinity edges whose nodes also interfere. */
- ulong64 inevit_costs; /**< costs which cannot be evited (due to interfering affinities). */
- ulong64 max_costs; /**< all costs of the affinities. */
- ulong64 costs; /**< The costs of the current coloring. */
- ulong64 unsatisfied_edges; /**< The number of unequally colored affinity edges. */
+ unsigned long long aff_edges; /**< number of affinity edges. */
+ unsigned long long aff_nodes; /**< number of nodes with incident affinity edges. */
+ unsigned long long aff_int; /**< number of affinity edges whose nodes also interfere. */
+ unsigned long long inevit_costs; /**< costs which cannot be evited (due to interfering affinities). */
+ unsigned long long max_costs; /**< all costs of the affinities. */
+ unsigned long long costs; /**< The costs of the current coloring. */
+ unsigned long long unsatisfied_edges; /**< The number of unequally colored affinity edges. */
} co_complete_stats_t;
/**
*/
int co_solve_heuristic(copy_opt_t *co);
-/**
- * Apply Park/Moon coalescing to the graph.
- * @param co The copy optimization data structure.
- */
-void co_solve_park_moon(copy_opt_t *co);
-
-/**
- * Solves the copy minimization problem using another heuristic approach.
- * Uses the OU and the GRAPH data structure.
- */
-int co_solve_heuristic_new(copy_opt_t *co);
-
-/**
- * Solves the copy minimization problem using another heuristic approach implemented in Java.
- * This function needs a JVM which is started to call the Java module.
- * Uses the GRAPH data structure.
- */
-int co_solve_heuristic_java(copy_opt_t *co);
-
-/**
- * This is the pure C implementation of co_solve_heuristic_java().
- */
-int co_solve_heuristic_mst(copy_opt_t *co);
-
/**
* Returns the maximal costs possible, i.e. the costs if all
* pairs would be assigned different registers.
*/
int co_get_lower_bound(const copy_opt_t *co);
-/**
- * Dump the interference graph according to the Appel/George coalescing contest file format.
- * See: http://www.cs.princeton.edu/~appel/coalesce/format.html
- * @note Requires graph structure.
- * @param co The copy opt object.
- * @param f A file to dump to.
- */
-void co_dump_appel_graph(const copy_opt_t *co, FILE *f);
-
-/**
- * Dumps the IFG of the program splitting after each instruction in the Appel format.
- * @param co The copy opt object.
- * @param f The file to dump to.
- */
-void co_dump_appel_graph_cliques(const copy_opt_t *co, FILE *f);
-/**
- * Dump the interference graph with the affinity edges and the coloring.
- * @param co The copy opt structure.
- * @param f The file to dump to.
- * @param flags The dump flags (see enum above).
- */
-void co_dump_ifg_dot(const copy_opt_t *co, FILE *f, unsigned flags);
-
/**
* Constructs another internal representation of the affinity edges
*/
*/
void co_free_graph_structure(copy_opt_t *co);
-/**
- * Solves the problem using mixed integer programming
- * @returns 1 iff solution state was optimal
- * NYI
- */
-int co_solve_ilp1(copy_opt_t *co, double time_limit);
-
-/**
- * Solves the problem using mixed integer programming
- * @returns 1 iff solution state was optimal
- * Uses the OU and the GRAPH data structure
- * Dependency of the OU structure can be removed
- */
-int co_solve_ilp2(copy_opt_t *co);
-
/**
* Checks if a node is optimizable, viz has something to do with coalescing.
* Uses the GRAPH data structure
*/
int co_gs_is_optimizable(copy_opt_t *co, ir_node *irn);
-#endif /* FIRM_BE_BECOPYOPT_H */
+#endif
projects / libfirm / blobdiff