cuda.c: print_reverse_list: improve error handling

[ppcg.git] / gpu_group.c

/*
 * Copyright 2010-2011 INRIA Saclay
 * Copyright 2012-2014 Ecole Normale Superieure
 * Copyright 2015      Sven Verdoolaege
 *
 * Use of this software is governed by the MIT license
 *
 * Written by Sven Verdoolaege, INRIA Saclay - Ile-de-France,
 * Parc Club Orsay Universite, ZAC des vignes, 4 rue Jacques Monod,
 * 91893 Orsay, France
 * and Ecole Normale Superieure, 45 rue d'Ulm, 75230 Paris, France
 */

#include <isl/constraint.h>
#include <isl/ilp.h>

#include "gpu_array_tile.h"
#include "gpu_group.h"
#include "gpu_tree.h"
#include "schedule.h"

/* Print the name of the local copy of a given group of array references.
 */
__isl_give isl_printer *gpu_array_ref_group_print_name(
        struct gpu_array_ref_group *group, __isl_take isl_printer *p)
{
        int global = 0;
        enum ppcg_group_access_type type;

        type = gpu_array_ref_group_type(group);
        if (type == ppcg_access_private)
                p = isl_printer_print_str(p, "private_");
        else if (type == ppcg_access_shared)
                p = isl_printer_print_str(p, "shared_");
        else
                global = 1;
        p = isl_printer_print_str(p, group->array->name);
        if (!global && group->local_array->n_group > 1) {
                p = isl_printer_print_str(p, "_");
                p = isl_printer_print_int(p, group->nr);
        }

        return p;
}

/* Return the union of all read (read = 1) and/or write (write = 1)
 * access relations in the group.
 */
__isl_give isl_union_map *gpu_array_ref_group_access_relation(
        struct gpu_array_ref_group *group, int read, int write)
{
        int i;
        isl_union_map *access;

        access = isl_union_map_empty(isl_map_get_space(group->access));
        for (i = 0; i < group->n_ref; ++i) {
                isl_map *map_i;

                if (!((read && group->refs[i]->read) ||
                     (write && group->refs[i]->write)))
                        continue;
                map_i = isl_map_copy(group->refs[i]->access);
                access = isl_union_map_union(access,
                                            isl_union_map_from_map(map_i));
        }

        return access;
}

/* Should this array reference group be mapped to private, shared or global
 * memory?
 * If we have computed both a private and a shared tile, then
 * the private tile is used, i.e., the group is mapped to private memory.
 */
enum ppcg_group_access_type gpu_array_ref_group_type(
        struct gpu_array_ref_group *group)
{
        if (group->private_tile)
                return ppcg_access_private;
        if (group->shared_tile)
                return ppcg_access_shared;
        return ppcg_access_global;
}


/* Return the effective gpu_array_tile associated to "group" or
 * NULL if there is no such gpu_array_tile.
 */
struct gpu_array_tile *gpu_array_ref_group_tile(
        struct gpu_array_ref_group *group)
{
        switch (gpu_array_ref_group_type(group)) {
        case ppcg_access_global:
                return NULL;
        case ppcg_access_shared:
                return group->shared_tile;
        case ppcg_access_private:
                return group->private_tile;
        }
}

/* Does the tile associated to "group" require unrolling of the schedule
 * dimensions mapped to threads?
 * Note that this can only happen for private tiles.
 */
int gpu_array_ref_group_requires_unroll(struct gpu_array_ref_group *group)
{
        struct gpu_array_tile *tile;

        tile = gpu_array_ref_group_tile(group);
        if (!tile)
                return 0;
        return tile->requires_unroll;
}

/* Given a constraint
 *
 *              a(p,i) + j = g f(e)
 *
 * or -a(p,i) - j = g f(e) if sign < 0,
 * store a(p,i) in bound->shift and g (stride) in bound->stride.
 * a(p,i) is assumed to be an expression in only the parameters
 * and the input dimensions.
 */
static void extract_stride(__isl_keep isl_constraint *c,
        struct gpu_array_bound *bound, __isl_keep isl_val *stride, int sign)
{
        int i;
        isl_val *v;
        isl_space *space;
        unsigned nparam;
        unsigned nvar;
        isl_aff *aff;

        isl_val_free(bound->stride);
        bound->stride = isl_val_copy(stride);

        space = isl_constraint_get_space(c);
        space = isl_space_domain(space);

        nparam = isl_space_dim(space, isl_dim_param);
        nvar = isl_space_dim(space, isl_dim_set);

        v = isl_constraint_get_constant_val(c);
        if (sign < 0)
                v = isl_val_neg(v);
        aff = isl_aff_zero_on_domain(isl_local_space_from_space(space));
        aff = isl_aff_set_constant_val(aff, v);

        for (i = 0; i < nparam; ++i) {
                if (!isl_constraint_involves_dims(c, isl_dim_param, i, 1))
                        continue;
                v = isl_constraint_get_coefficient_val(c, isl_dim_param, i);
                if (sign < 0)
                        v = isl_val_neg(v);
                aff = isl_aff_add_coefficient_val(aff, isl_dim_param, i, v);
        }

        for (i = 0; i < nvar; ++i) {
                if (!isl_constraint_involves_dims(c, isl_dim_in, i, 1))
                        continue;
                v = isl_constraint_get_coefficient_val(c, isl_dim_in, i);
                if (sign < 0)
                        v = isl_val_neg(v);
                aff = isl_aff_add_coefficient_val(aff, isl_dim_in, i, v);
        }

        bound->shift = aff;
}

/* Given an equality constraint of a map with a single output dimension j,
 * check if the constraint is of the form
 *
 *              a(p,i) + j = g f(e)
 *
 * with a(p,i) an expression in the parameters and input dimensions
 * and f(e) an expression in the existentially quantified variables.
 * If so, and if g is larger than any such g from a previously considered
 * constraint, then call extract_stride to record the stride information
 * in bound.
 */
static isl_stat check_stride_constraint(__isl_take isl_constraint *c,
        void *user)
{
        int i;
        isl_ctx *ctx;
        isl_val *v;
        unsigned n_div;
        struct gpu_array_bound *bound = user;

        ctx = isl_constraint_get_ctx(c);
        n_div = isl_constraint_dim(c, isl_dim_div);
        v = isl_constraint_get_coefficient_val(c, isl_dim_out, 0);

        if (n_div && (isl_val_is_one(v) || isl_val_is_negone(v))) {
                int s = isl_val_sgn(v);
                isl_val *stride = isl_val_zero(ctx);

                isl_val_free(v);
                for (i = 0; i < n_div; ++i) {
                        v = isl_constraint_get_coefficient_val(c,
                                                                isl_dim_div, i);
                        stride = isl_val_gcd(stride, v);
                }
                if (!isl_val_is_zero(stride) &&
                    isl_val_gt(stride, bound->stride))
                        extract_stride(c, bound, stride, s);

                isl_val_free(stride);
        } else
                isl_val_free(v);

        isl_constraint_free(c);
        return isl_stat_ok;
}

/* Given contraints on an array index i, check if we can find
 * a shift a(p) and a stride g such that
 *
 *      a(p) + i = 0 mod g
 *
 * If so, record the information in bound and apply the mapping
 * i -> (i + a(p))/g to the array index in bounds and return
 * the new constraints.
 * If not, simply return the original constraints.
 *
 * If bounds is a subset of the space
 *
 *      D -> i
 *
 * then the bound recorded in bound->shift is of the form
 *
 *      D -> s(D)
 *
 * with s(D) equal to a(p) above.
 * Next, we construct a mapping of the form
 *
 *      [D -> i] -> [D -> (i + S(D))/g]
 *
 * This mapping is computed as follows.
 * We first introduce "i" in the domain through precomposition
 * with [D -> i] -> D obtaining
 *
 *      [D -> i] -> s(D)
 *
 * Adding [D -> i] -> i produces
 *
 *      [D -> i] -> i + s(D)
 *
 * and the domain product with [D -> i] -> D yields
 *
 *      [D -> i] -> [D -> i + s(D)]
 *
 * Composition with [D -> i] -> [D -> i/g] gives the desired result.
 */
static __isl_give isl_basic_map *check_stride(struct gpu_array_bound *bound,
        __isl_take isl_basic_map *bounds)
{
        isl_space *space;
        isl_basic_map *hull;
        isl_basic_map *shift, *id, *bmap, *scale;
        isl_basic_set *bset;
        isl_aff *aff;

        bound->stride = NULL;

        hull = isl_basic_map_affine_hull(isl_basic_map_copy(bounds));

        isl_basic_map_foreach_constraint(hull, &check_stride_constraint, bound);

        isl_basic_map_free(hull);

        if (!bound->stride)
                return bounds;

        shift = isl_basic_map_from_aff(isl_aff_copy(bound->shift));
        space = isl_basic_map_get_space(bounds);
        bmap = isl_basic_map_domain_map(isl_basic_map_universe(space));
        shift = isl_basic_map_apply_range(bmap, shift);
        space = isl_basic_map_get_space(bounds);
        id = isl_basic_map_range_map(isl_basic_map_universe(space));
        shift = isl_basic_map_sum(id, shift);
        space = isl_basic_map_get_space(bounds);
        id = isl_basic_map_domain_map(isl_basic_map_universe(space));
        shift = isl_basic_map_range_product(id, shift);

        space = isl_space_domain(isl_basic_map_get_space(bounds));
        id = isl_basic_map_identity(isl_space_map_from_set(space));
        space = isl_space_range(isl_basic_map_get_space(bounds));
        aff = isl_aff_zero_on_domain(isl_local_space_from_space(space));
        aff = isl_aff_add_coefficient_si(aff, isl_dim_in, 0, 1);
        aff = isl_aff_scale_down_val(aff, isl_val_copy(bound->stride));
        scale = isl_basic_map_from_aff(aff);
        scale = isl_basic_map_product(id, scale);

        bmap = isl_basic_map_apply_range(shift, scale);
        bset = isl_basic_set_apply(isl_basic_map_wrap(bounds), bmap);
        bounds = isl_basic_set_unwrap(bset);

        return bounds;
}

/* Data used in compute_array_dim_size and compute_size_in_direction.
 *
 * pos is the position of the variable representing the array index,
 * i.e., the variable for which want to compute the size.  This variable
 * is also the last variable in the set.
 */
struct gpu_size_info {
        isl_basic_set *bset;
        struct gpu_array_bound *bound;
        int pos;
};

/* Given a constraint from the basic set describing the bounds on
 * an array index, check if it is a lower bound, say m i >= b(x), and,
 * if so, check whether the expression "i - ceil(b(x)/m) + 1" has a constant
 * upper bound.  If so, and if this bound is smaller than any bound
 * derived from earlier constraints, set the size to this bound on
 * the expression and the lower bound to ceil(b(x)/m).
 */
static isl_stat compute_size_in_direction(__isl_take isl_constraint *c,
        void *user)
{
        struct gpu_size_info *size = user;
        unsigned nparam;
        unsigned n_div;
        isl_val *v;
        isl_aff *aff;
        isl_aff *lb;

        nparam = isl_basic_set_dim(size->bset, isl_dim_param);
        n_div = isl_constraint_dim(c, isl_dim_div);

        if (isl_constraint_involves_dims(c, isl_dim_div, 0, n_div) ||
            !isl_constraint_is_lower_bound(c, isl_dim_set, size->pos)) {
                isl_constraint_free(c);
                return isl_stat_ok;
        }

        aff = isl_constraint_get_bound(c, isl_dim_set, size->pos);
        aff = isl_aff_ceil(aff);

        lb = isl_aff_copy(aff);

        aff = isl_aff_neg(aff);
        aff = isl_aff_add_coefficient_si(aff, isl_dim_in, size->pos, 1);

        v = isl_basic_set_max_val(size->bset, aff);
        isl_aff_free(aff);

        if (isl_val_is_int(v)) {
                v = isl_val_add_ui(v, 1);
                if (!size->bound->size || isl_val_lt(v, size->bound->size)) {
                        isl_val_free(size->bound->size);
                        size->bound->size = isl_val_copy(v);
                        lb = isl_aff_drop_dims(lb, isl_dim_in, size->pos, 1);
                        isl_aff_free(size->bound->lb);
                        size->bound->lb = isl_aff_copy(lb);
                }
        }
        isl_val_free(v);
        isl_aff_free(lb);

        isl_constraint_free(c);

        return isl_stat_ok;
}

/* Given a basic map "bounds" that maps parameters and input dimensions
 * to a single output dimension, look for an expression in the parameters
 * and input dimensions such that the range of the output dimension shifted
 * by this expression is a constant.
 *
 * In particular, we currently only consider lower bounds on the output
 * dimension as candidate expressions.
 */
static int compute_array_dim_size(struct gpu_array_bound *bound,
        __isl_take isl_basic_map *bounds)
{
        struct gpu_size_info size;

        bounds = isl_basic_map_detect_equalities(bounds);
        bounds = check_stride(bound, bounds);

        bound->size = NULL;
        bound->lb = NULL;

        size.bound = bound;
        size.pos = isl_basic_map_dim(bounds, isl_dim_in);
        size.bset = isl_basic_map_wrap(bounds);
        size.bset = isl_basic_set_flatten(size.bset);
        size.bset = isl_set_simple_hull(isl_basic_set_compute_divs(size.bset));
        isl_basic_set_foreach_constraint(size.bset, &compute_size_in_direction,
                                        &size);
        isl_basic_set_free(size.bset);

        return bound->size ? 0 : -1;
}

/* Check if we can find a memory tile for the given array
 * based on the given accesses, and if so, put the results in "tile".
 *
 * We project the accesses on each index in turn and look for a parametric
 * offset such that the size is constant.
 *
 * tile->depth is initialized to the input dimension of the computed bounds.
 */
static int can_tile(__isl_keep isl_map *access, struct gpu_array_tile *tile)
{
        int i;

        tile->depth = isl_map_dim(access, isl_dim_in);

        for (i = 0; i < tile->n; ++i) {
                isl_map *access_i;
                isl_basic_map *hull;

                access_i = isl_map_copy(access);
                access_i = isl_map_project_out(access_i, isl_dim_out, 0, i);
                access_i = isl_map_project_out(access_i, isl_dim_out,
                                            1, tile->n - (i + 1));
                access_i = isl_map_compute_divs(access_i);
                hull = isl_map_simple_hull(access_i);
                if (compute_array_dim_size(&tile->bound[i], hull) < 0)
                        return 0;
        }

        return 1;
}

/* Internal data structure for gpu_group_references.
 *
 * scop represents the input scop.
 * kernel_depth is the schedule depth where the kernel launch will
 * be introduced, i.e., it is the depth of the band that is mapped
 * to blocks.
 * thread_depth is the schedule depth where the thread mark is located,
 * i.e., it is the depth of the band that is mapped to threads and also
 * the schedule depth at which the copying to/from shared/private memory
 * is computed.  The copy operation may then later be hoisted to
 * a higher level.
 * n_thread is the number of schedule dimensions in the band that
 * is mapped to threads.
 * privatization lives in the range of thread_sched (i.e., it is
 * of dimension thread_depth + n_thread) and encodes the mapping
 * to thread identifiers (as parameters).
 * host_sched contains the kernel_depth dimensions of the host schedule.
 * shared_sched contains the first thread_depth dimensions of the
 * kernel schedule.
 * thread_sched contains the first (thread_depth + n_thread) dimensions
 * of the kernel schedule.
 * full_sched is a union_map representation of the entire kernel schedule.
 */
struct gpu_group_data {
        struct ppcg_scop *scop;
        int kernel_depth;
        int thread_depth;
        int n_thread;
        isl_set *privatization;
        isl_union_map *host_sched;
        isl_union_map *shared_sched;
        isl_union_map *thread_sched;
        isl_union_map *full_sched;
};

/* Construct a map from domain_space to domain_space that increments
 * the dimension at position "pos" and leaves all other dimensions
 * constant.
 */
static __isl_give isl_map *next(__isl_take isl_space *domain_space, int pos)
{
        isl_space *space;
        isl_aff *aff;
        isl_multi_aff *next;

        space = isl_space_map_from_set(domain_space);
        next = isl_multi_aff_identity(space);
        aff = isl_multi_aff_get_aff(next, pos);
        aff = isl_aff_add_constant_si(aff, 1);
        next = isl_multi_aff_set_aff(next, pos, aff);

        return isl_map_from_multi_aff(next);
}

/* Check if the given access is coalesced (or if there is no point
 * in trying to coalesce the access by mapping the array to shared memory).
 * That is, check whether incrementing the dimension that will get
 * wrapped over the last thread index results in incrementing
 * the last array index.
 *
 * If no two consecutive array elements are ever accessed by "access",
 * then mapping the corresponding array to shared memory will not
 * improve coalescing.  In fact, the copying will likely be performed
 * by a single thread.  Consider the access as coalesced such that
 * the caller will not try and map the array to shared memory just
 * to improve coalescing.
 *
 * This function is only called for access relations without reuse and
 * kernels with at least one thread identifier.
 */
static int access_is_coalesced(struct gpu_group_data *data,
        __isl_keep isl_union_map *access)
{
        int dim;
        isl_space *space;
        isl_set *accessed;
        isl_map *access_map;
        isl_map *next_thread_x;
        isl_map *next_element;
        isl_map *map;
        int coalesced, empty;

        access = isl_union_map_copy(access);
        access = isl_union_map_apply_domain(access,
                                isl_union_map_copy(data->full_sched));
        access_map = isl_map_from_union_map(access);

        space = isl_map_get_space(access_map);
        space = isl_space_range(space);
        dim = isl_space_dim(space, isl_dim_set);
        if (dim == 0)
                next_element = isl_map_empty(isl_space_map_from_set(space));
        else
                next_element = next(space, dim - 1);

        accessed = isl_map_range(isl_map_copy(access_map));
        map = isl_map_copy(next_element);
        map = isl_map_intersect_domain(map, isl_set_copy(accessed));
        map = isl_map_intersect_range(map, accessed);
        empty = isl_map_is_empty(map);
        isl_map_free(map);

        if (empty < 0 || empty) {
                isl_map_free(next_element);
                isl_map_free(access_map);
                return empty;
        }

        space = isl_map_get_space(access_map);
        space = isl_space_domain(space);
        next_thread_x = next(space, data->thread_depth + data->n_thread - 1);

        map = isl_map_apply_domain(next_thread_x, isl_map_copy(access_map));
        map = isl_map_apply_range(map, access_map);

        coalesced = isl_map_is_subset(map, next_element);

        isl_map_free(next_element);
        isl_map_free(map);

        return coalesced;
}

/* Replace the host schedule dimensions in the access relation "access"
 * by parameters, so that they are treated as fixed when checking for reuse
 * (within a kernel) or whether two consecutive elements are accessed
 * (within a kernel).
 */
static __isl_give isl_union_map *localize_access(struct gpu_group_data *data,
        __isl_take isl_union_map *access)
{
        int n;
        isl_space *space;
        isl_set *param;
        isl_union_map *umap;
        isl_id_list *ids;

        umap = isl_union_map_copy(data->host_sched);
        space = isl_union_map_get_space(umap);
        n = data->kernel_depth;
        ids = ppcg_scop_generate_names(data->scop, n, "__ppcg_host_");
        param = parametrization(space, n, 0, ids);
        isl_id_list_free(ids);
        umap = isl_union_map_intersect_range(umap,
                                                isl_union_set_from_set(param));
        access = isl_union_map_intersect_domain(access,
                                                isl_union_map_domain(umap));

        return access;
}

/* Given an access relation in terms of at least data->thread_depth initial
 * dimensions of the computed schedule, check if it is bijective for
 * fixed values of the first data->thread_depth dimensions.
 * We perform this check by equating these dimensions to parameters.
 */
static int access_is_bijective(struct gpu_group_data *data,
        __isl_keep isl_map *access)
{
        int res;
        int dim;
        isl_set *par;
        isl_space *space;
        isl_id_list *ids;

        access = isl_map_copy(access);
        space = isl_space_params(isl_map_get_space(access));
        ids = ppcg_scop_generate_names(data->scop, data->thread_depth, "s");
        dim = isl_map_dim(access, isl_dim_in);
        par = parametrization(space, dim, 0, ids);
        isl_id_list_free(ids);
        access = isl_map_intersect_domain(access, par);
        res = isl_map_is_bijective(access);
        isl_map_free(access);

        return res;
}

/* Compute the number of outer schedule tile dimensions that affect
 * the offset of "tile".
 * If there is no such dimension, then return the index
 * of the first kernel dimension, i.e., data->kernel_depth.
 */
static int compute_tile_depth(struct gpu_group_data *data,
        struct gpu_array_tile *tile)
{
        int i, j;

        for (j = tile->depth - 1; j >= data->kernel_depth; --j) {
                for (i = 0; i < tile->n; ++i) {
                        isl_aff *lb;
                        isl_aff *shift;

                        lb = tile->bound[i].lb;
                        if (isl_aff_involves_dims(lb, isl_dim_in, j, 1))
                                break;

                        shift = tile->bound[i].shift;
                        if (!shift)
                                continue;
                        if (isl_aff_involves_dims(shift, isl_dim_in, j, 1))
                                break;
                }
                if (i < tile->n)
                        break;
        }

        return ++j;
}

/* Return the lowest depth between data->kernel_depth and data->thread_depth
 * at which every array element accessed through "acc" is accessed
 * by a single thread.  The input dimension of "acc" is
 * data->thread_depth + data->n_thread, where the final data->n_thread
 * dimensions are those that will be mapped to threads.
 * If the values for these dimensions are uniquely determined
 * by the array index and a given number of outer dimensions, then
 * there is only one thread accessing that array element within those
 * outer dimensions.
 *
 * The input space of "acc" is first split up, such that it has the form
 *
 *      [O -> T] -> A
 *
 * with O the outer dimensions, T the dimensions that will be mapped to threads
 * and A the array index.
 *
 * Then the positions of T and A are interchanged to simplify the test
 * whether T uniquely depends on O and A.
 * In particular, the above access relation is first combined with
 *
 *      [O -> T] -> T
 *
 * to form
 *
 *      [O -> T] -> [A -> T]
 *
 * from which
 *
 *      O -> [A -> T]
 *
 * is extracted, which is then uncurried to
 *
 *      [O -> A] -> T
 *
 * Finally, the final dimensions of O are projected out one by one
 * until T is no longer uniquely determined by A and the remaining
 * dimensions in O.  The value returned is that of the last dimension
 * that was successfully projected out.
 * Note that there is no need to test whether [O -> A] -> T itself
 * is single-valued as that was already tested in access_is_bijective.
 */
static int compute_accessed_by_single_thread_depth(struct gpu_group_data *data,
        __isl_keep isl_map *acc)
{
        int i;
        isl_space *space;
        isl_map *map;
        isl_bool sv;

        if (data->thread_depth == data->kernel_depth)
                return data->thread_depth;

        acc = isl_map_copy(acc);

        space = isl_map_get_space(acc);
        space = isl_space_params(space);
        space = isl_space_set_from_params(space);
        space = isl_space_add_dims(space, isl_dim_set, data->thread_depth);
        space = isl_space_from_domain(space);
        space = isl_space_add_dims(space, isl_dim_out, data->n_thread);
        space = isl_space_wrap(space);
        map = isl_set_flatten_map(isl_set_universe(space));
        acc = isl_map_apply_range(map, acc);

        space = isl_space_domain(isl_map_get_space(acc));
        map = isl_map_range_map(isl_map_universe(isl_space_unwrap(space)));
        acc = isl_map_range_product(acc, map);
        acc = isl_map_domain_factor_domain(acc);
        acc = isl_map_uncurry(acc);

        for (i = data->thread_depth - 1; i >= data->kernel_depth; --i) {
                acc = isl_map_project_out(acc, isl_dim_in, i, 1);
                sv = isl_map_is_single_valued(acc);
                if (sv < 0)
                        return -1;
                if (!sv)
                        break;
        }

        isl_map_free(acc);

        return ++i;
}

/* Adjust the fields of "tile" to reflect the new input dimension "depth".
 * The dimension beyond "depth" are assumed not to affect the tile,
 * so they can simply be dropped.
 */
static int tile_adjust_depth(struct gpu_array_tile *tile, int depth)
{
        int i;

        if (tile->depth == depth)
                return 0;

        for (i = 0; i < tile->n; ++i) {
                tile->bound[i].lb = isl_aff_drop_dims(tile->bound[i].lb,
                                        isl_dim_in, depth, tile->depth - depth);
                if (!tile->bound[i].lb)
                        return -1;
                if (!tile->bound[i].shift)
                        continue;
                tile->bound[i].shift = isl_aff_drop_dims(tile->bound[i].shift,
                                        isl_dim_in, depth, tile->depth - depth);
                if (!tile->bound[i].shift)
                        return -1;
        }

        tile->depth = depth;

        return 0;
}

/* Determine the number of schedule dimensions that affect the offset of the
 * shared or private tile "tile" and store the result in tile->depth, with
 * a lower bound of data->kernel_depth.
 * Also adjust the fields of the tile to only refer to the tile->depth
 * outer schedule dimensions.
 */
static isl_stat tile_set_depth(struct gpu_group_data *data,
        struct gpu_array_tile *tile)
{
        if (tile_adjust_depth(tile, compute_tile_depth(data, tile)) < 0)
                return isl_stat_error;

        return isl_stat_ok;
}

/* Determine the number of schedule dimensions that affect the offset of the
 * shared tile and store the minimum of the private and shared tile depth
 * in group->min_depth, with a lower bound of data->kernel_depth.
 * If there is no tile defined on the array reference group,
 * then set group->min_depth to data->thread_depth.
 */
static int set_depth(struct gpu_group_data *data,
        struct gpu_array_ref_group *group)
{
        group->min_depth = data->thread_depth;

        if (group->private_tile) {
                if (group->private_tile->depth < group->min_depth)
                        group->min_depth = group->private_tile->depth;
        }
        if (group->shared_tile) {
                if (tile_set_depth(data, group->shared_tile) < 0)
                        return -1;
                if (group->shared_tile->depth < group->min_depth)
                        group->min_depth = group->shared_tile->depth;
        }

        return 0;
}

/* Fill up the groups array with singleton groups, i.e., one group
 * per reference, initializing the array, access, write, n_ref and refs fields.
 * In particular the access field is initialized to the scheduled
 * access relation of the array reference.
 *
 * Return the number of elements initialized, i.e., the number of
 * active references in the current kernel.
 */
static int populate_array_references(struct gpu_local_array_info *local,
        struct gpu_array_ref_group **groups, struct gpu_group_data *data)
{
        int i;
        int n;
        isl_ctx *ctx = isl_union_map_get_ctx(data->shared_sched);

        n = 0;
        for (i = 0; i < local->array->n_ref; ++i) {
                isl_union_map *umap;
                isl_map *map;
                struct gpu_array_ref_group *group;
                struct gpu_stmt_access *access = local->array->refs[i];

                map = isl_map_copy(access->access);
                umap = isl_union_map_from_map(map);
                umap = isl_union_map_apply_domain(umap,
                                isl_union_map_copy(data->shared_sched));

                if (isl_union_map_is_empty(umap)) {
                        isl_union_map_free(umap);
                        continue;
                }

                map = isl_map_from_union_map(umap);
                map = isl_map_detect_equalities(map);

                group = isl_calloc_type(ctx, struct gpu_array_ref_group);
                if (!group)
                        return -1;
                group->local_array = local;
                group->array = local->array;
                group->access = map;
                group->write = access->write;
                group->exact_write = access->exact_write;
                group->slice = access->n_index < local->array->n_index;
                group->refs = &local->array->refs[i];
                group->n_ref = 1;

                groups[n++] = group;
        }

        return n;
}

/* If group->n_ref == 1, then group->refs was set by
 * populate_array_references to point directly into
 * group->array->refs and should not be freed.
 * If group->n_ref > 1, then group->refs was set by join_groups
 * to point to a newly allocated array.
 */
struct gpu_array_ref_group *gpu_array_ref_group_free(
        struct gpu_array_ref_group *group)
{
        if (!group)
                return NULL;
        gpu_array_tile_free(group->shared_tile);
        gpu_array_tile_free(group->private_tile);
        isl_map_free(group->access);
        if (group->n_ref > 1)
                free(group->refs);
        free(group);
        return NULL;
}

/* Check if the access relations of group1 and group2 overlap within
 * shared_sched.
 */
static int accesses_overlap(struct gpu_array_ref_group *group1,
        struct gpu_array_ref_group *group2)
{
        int disjoint;

        disjoint = isl_map_is_disjoint(group1->access, group2->access);
        if (disjoint < 0)
                return -1;

        return !disjoint;
}

/* Combine the given two groups into a single group, containing
 * the references of both groups.
 */
static struct gpu_array_ref_group *join_groups(
        struct gpu_array_ref_group *group1,
        struct gpu_array_ref_group *group2)
{
        int i;
        isl_ctx *ctx;
        struct gpu_array_ref_group *group;

        if (!group1 || !group2)
                return NULL;

        ctx = isl_map_get_ctx(group1->access);
        group = isl_calloc_type(ctx, struct gpu_array_ref_group);
        if (!group)
                return NULL;
        group->local_array = group1->local_array;
        group->array = group1->array;
        group->access = isl_map_union(isl_map_copy(group1->access),
                                        isl_map_copy(group2->access));
        group->write = group1->write || group2->write;
        group->exact_write = group1->exact_write && group2->exact_write;
        group->slice = group1->slice || group2->slice;
        group->n_ref = group1->n_ref + group2->n_ref;
        group->refs = isl_alloc_array(ctx, struct gpu_stmt_access *,
                                        group->n_ref);
        if (!group->refs)
                return gpu_array_ref_group_free(group);
        for (i = 0; i < group1->n_ref; ++i)
                group->refs[i] = group1->refs[i];
        for (i = 0; i < group2->n_ref; ++i)
                group->refs[group1->n_ref + i] = group2->refs[i];

        return group;
}

/* Combine the given two groups into a single group and free
 * the original two groups.
 */
static struct gpu_array_ref_group *join_groups_and_free(
        struct gpu_array_ref_group *group1,
        struct gpu_array_ref_group *group2)
{
        struct gpu_array_ref_group *group;

        group = join_groups(group1, group2);
        gpu_array_ref_group_free(group1);
        gpu_array_ref_group_free(group2);
        return group;
}

/* Report that the array reference group with the given access relation
 * is not mapped to shared memory in the given kernel because
 * it does not exhibit any reuse and is considered to be coalesced.
 */
static void report_no_reuse_and_coalesced(struct ppcg_kernel *kernel,
        __isl_keep isl_union_map *access)
{
        isl_ctx *ctx;
        isl_printer *p;

        ctx = isl_union_map_get_ctx(access);
        p = isl_printer_to_file(ctx, stdout);
        p = isl_printer_print_str(p, "Array reference group ");
        p = isl_printer_print_union_map(p, access);
        p = isl_printer_print_str(p,
            " not considered for mapping to shared memory in kernel");
        p = isl_printer_print_int(p, kernel->id);
        p = isl_printer_print_str(p,
            " because it exhibits no reuse and is considered to be coalesced");
        p = isl_printer_end_line(p);
        isl_printer_free(p);
}

/* Given an access relation in terms of the data->thread_depth initial
 * dimensions of the computed schedule and the thread identifiers
 * (as parameters), check if the use of the corresponding private tile
 * requires unrolling.
 *
 * If we are creating a private tile because we are forced to,
 * then no unrolling is required.
 * Otherwise we check if "access" is bijective and unrolling
 * is required if it is not.  Note that the access relation
 * has already been determined to be bijective before the introduction
 * of the thread identifiers and the removal of the schedule dimensions
 * that are mapped to these threads.  If the access relation is no longer
 * bijective, then this means that more than one value of one of those
 * schedule dimensions is mapped to the same thread and therefore
 * unrolling is required.
 */
static int check_requires_unroll(struct gpu_group_data *data,
        __isl_keep isl_map *access, int force_private)
{
        int bijective;

        if (force_private)
                return 0;
        bijective = access_is_bijective(data, access);
        if (bijective < 0)
                return -1;
        return !bijective;
}

/* Compute the private and/or shared memory tiles for the array
 * reference group "group" of array "array".
 * Return 0 on success and -1 on error.
 *
 * If the array is a read-only scalar or if the user requested
 * not to use shared or private memory, then we do not need to do anything.
 *
 * If any reference in the reference group accesses more than one element,
 * then we would have to make sure that the layout in shared memory
 * is the same as that in global memory.  Since we do not handle this yet
 * (and it may not even be possible), we refuse to map to private or
 * shared memory in such cases.
 *
 * If the array group involves any may writes (that are not must writes),
 * then we would have to make sure that we load the data into shared/private
 * memory first in case the data is not written by the kernel
 * (but still written back out to global memory).
 * Since we don't have any such mechanism at the moment, we don't
 * compute shared/private tiles for groups involving may writes.
 *
 * We only try to compute a shared memory tile if there is any reuse
 * or if the access is not coalesced.
 * Reuse and coalescing are checked within the given kernel.
 *
 * For computing a private memory tile, we also require that there is
 * some reuse.  Moreover, we require that the access is private
 * to the thread.  That is, we check that any given array element
 * is only accessed by a single thread.
 * We compute an access relation that maps the outer
 * data->thread_depth + data->n_thread schedule dimensions.
 * The latter data->n_thread will be mapped to thread identifiers.
 * We actually check that those iterators that will be wrapped
 * partition the array space.  This check is stricter than necessary
 * since several iterations may be mapped onto the same thread
 * and then they could be allowed to access the same memory elements,
 * but our check does not allow this situation.
 *
 * For private memory tiles, the number of schedule dimensions that
 * affect the offset is computed and stored in tile->depth, with
 * a lower bound of data->kernel_depth.  If this depth is smaller
 * than the minimal depth that still ensures that every element
 * is accessed by a single thread, then the depth is raised
 * to this minimal depth.
 * The fields of the tile are then adjusted to only refer to the tile->depth
 * outer schedule dimensions.
 *
 * We also check that the index expression only depends on parallel
 * loops.  That way, we can move those loops innermost and unroll them.
 * Again, we use a test that is stricter than necessary.
 * We actually check whether the index expression only depends
 * on the iterators that are wrapped over the threads.
 * These are necessarily parallel, but there may be more parallel loops.
 *
 * Combining the injectivity of the first test with the single-valuedness
 * of the second test, we simply test for bijectivity.
 *
 * If the use of the private tile requires unrolling, but some
 * of the other arrays are forcibly mapped to private memory,
 * then we do not allow the use of this private tile since
 * we cannot move the schedule dimensions that need to be unrolled down
 * without performing some kind of expansion on those arrays
 * that are forcibly mapped to private memory.
 *
 * If the array is marked force_private, then we bypass all checks
 * and assume we can (and should) use registers.
 *
 * If it turns out we can (or have to) use registers, we compute
 * the private memory tile size using can_tile, after introducing a dependence
 * on the thread indices.
 */
static int compute_group_bounds_core(struct ppcg_kernel *kernel,
        struct gpu_array_ref_group *group, struct gpu_group_data *data)
{
        isl_ctx *ctx = isl_space_get_ctx(group->array->space);
        isl_union_map *access, *local;
        int n_index = group->array->n_index;
        int no_reuse, coalesced;
        isl_map *acc;
        int force_private = group->local_array->force_private;
        int use_shared = kernel->options->use_shared_memory &&
                                data->n_thread > 0;
        int use_private = force_private || kernel->options->use_private_memory;
        int r = 0;
        int requires_unroll;
        int unique_depth;

        if (!use_shared && !use_private)
                return 0;
        if (gpu_array_is_read_only_scalar(group->array))
                return 0;
        if (!force_private && !group->exact_write)
                return 0;
        if (group->slice)
                return 0;

        access = gpu_array_ref_group_access_relation(group, 1, 1);
        local = localize_access(data, isl_union_map_copy(access));
        no_reuse = isl_union_map_is_injective(local);
        if (no_reuse < 0)
                r = -1;
        if (use_shared && no_reuse)
                coalesced = access_is_coalesced(data, local);
        isl_union_map_free(local);

        if (r >= 0 && kernel->options->debug->verbose &&
            use_shared && no_reuse && coalesced)
                report_no_reuse_and_coalesced(kernel, access);

        if (use_shared && (!no_reuse || !coalesced)) {
                group->shared_tile = gpu_array_tile_create(ctx,
                                                        group->array->n_index);
                if (!group->shared_tile)
                        r = -1;
                else if (!can_tile(group->access, group->shared_tile))
                        group->shared_tile =
                                        gpu_array_tile_free(group->shared_tile);
        }

        if (r < 0 || (!force_private && (!use_private || no_reuse))) {
                isl_union_map_free(access);
                return r;
        }

        access = isl_union_map_apply_domain(access,
                                        isl_union_map_copy(data->thread_sched));

        acc = isl_map_from_union_map(access);

        if (!force_private && !access_is_bijective(data, acc)) {
                isl_map_free(acc);
                return 0;
        }

        unique_depth = compute_accessed_by_single_thread_depth(data, acc);

        acc = isl_map_intersect_domain(acc, isl_set_copy(data->privatization));
        acc = isl_map_project_out(acc, isl_dim_in, data->thread_depth,
                                                                data->n_thread);
        requires_unroll = check_requires_unroll(data, acc, force_private);
        if (unique_depth < 0 || requires_unroll < 0 ||
            (requires_unroll && kernel->any_force_private)) {
                isl_map_free(acc);
                return requires_unroll < 0 ? -1 : 0;
        }

        group->private_tile = gpu_array_tile_create(ctx, n_index);
        if (!group->private_tile) {
                isl_map_free(acc);
                return -1;
        }
        group->private_tile->requires_unroll = requires_unroll;
        if (!can_tile(acc, group->private_tile))
                group->private_tile = gpu_array_tile_free(group->private_tile);

        isl_map_free(acc);

        if (group->private_tile) {
                struct gpu_array_tile *tile = group->private_tile;
                int tile_depth = compute_tile_depth(data, tile);
                if (tile_depth < unique_depth)
                        tile_depth = unique_depth;
                if (tile_adjust_depth(tile, tile_depth) < 0)
                        return -1;
        }

        if (force_private && !group->private_tile)
                isl_die(ctx, isl_error_internal,
                        "unable to map array reference group to registers",
                        return -1);

        return 0;
}

/* Compute the private and/or shared memory tiles for the array
 * reference group "group" of array "array" and set the tile depth.
 * Return 0 on success and -1 on error.
 */
static int compute_group_bounds(struct ppcg_kernel *kernel,
        struct gpu_array_ref_group *group, struct gpu_group_data *data)
{
        if (!group)
                return -1;
        if (compute_group_bounds_core(kernel, group, data) < 0)
                return -1;
        if (set_depth(data, group) < 0)
                return -1;

        return 0;
}

/* If two groups have overlapping access relations (as determined by
 * the "overlap" function) and if one of them involves a write,
 * then merge the two groups into one.
 * If "compute_bounds" is set, then call compute_group_bounds
 * on the merged groups.
 *
 * Return the updated number of groups.
 * Return -1 on error.
 */
static int group_writes(struct ppcg_kernel *kernel,
        int n, struct gpu_array_ref_group **groups,
        int (*overlap)(struct gpu_array_ref_group *group1,
                struct gpu_array_ref_group *group2), int compute_bounds,
        struct gpu_group_data *data)
{
        int i, j;

        for (i = 0; i < n; ++i) {
                for (j = n - 1; j > i; --j) {
                        if (!groups[i]->write && !groups[j]->write)
                                continue;

                        if (!overlap(groups[i], groups[j]))
                                continue;

                        groups[i] = join_groups_and_free(groups[i], groups[j]);
                        if (j != n - 1)
                                groups[j] = groups[n - 1];
                        groups[n - 1] = NULL;
                        n--;

                        if (!groups[i])
                                return -1;
                        if (compute_bounds &&
                            compute_group_bounds(kernel, groups[i], data) < 0)
                                return -1;
                }
        }

        return n;
}

/* If two groups have overlapping access relations (within the innermost
 * loop) and if one of them involves a write, then merge the two groups
 * into one.
 *
 * Return the updated number of groups.
 */
static int group_overlapping_writes(struct ppcg_kernel *kernel,
        int n, struct gpu_array_ref_group **groups,
        struct gpu_group_data *data)
{
        return group_writes(kernel, n, groups, &accesses_overlap, 0, data);
}

/* Check if the access relations of group1 and group2 overlap within
 * the outermost min(group1->min_depth, group2->min_depth) loops.
 */
static int depth_accesses_overlap(struct gpu_array_ref_group *group1,
        struct gpu_array_ref_group *group2)
{
        int depth;
        int dim;
        int empty;
        isl_map *map_i, *map_j, *map;

        depth = group1->min_depth;
        if (group2->min_depth < depth)
                depth = group2->min_depth;
        map_i = isl_map_copy(group1->access);
        dim = isl_map_dim(map_i, isl_dim_in);
        map_i = isl_map_eliminate(map_i, isl_dim_in, depth, dim - depth);
        map_j = isl_map_copy(group2->access);
        map_j = isl_map_eliminate(map_j, isl_dim_in, depth, dim - depth);
        map = isl_map_intersect(map_i, map_j);
        empty = isl_map_is_empty(map);
        isl_map_free(map);

        return !empty;
}

/* If two groups have overlapping access relations (within the outer
 * depth loops) and if one of them involves a write,
 * then merge the two groups into one.
 *
 * Return the updated number of groups.
 */
static int group_depth_overlapping_writes(struct ppcg_kernel *kernel,
        int n, struct gpu_array_ref_group **groups, struct gpu_group_data *data)
{
        return group_writes(kernel, n, groups, &depth_accesses_overlap, 1,
                                data);
}

/* Is the size of the tile specified by "tile" smaller than the sum of
 * the sizes of the tiles specified by "tile1" and "tile2"?
 */
static int smaller_tile(struct gpu_array_tile *tile,
        struct gpu_array_tile *tile1, struct gpu_array_tile *tile2)
{
        int smaller;
        isl_val *size, *size1, *size2;

        size = gpu_array_tile_size(tile);
        size1 = gpu_array_tile_size(tile1);
        size2 = gpu_array_tile_size(tile2);

        size = isl_val_sub(size, size1);
        size = isl_val_sub(size, size2);
        smaller = isl_val_is_neg(size);

        isl_val_free(size);

        return smaller;
}

/* Given an initial grouping of array references and shared memory tiles
 * for each group that allows for a shared memory tile, merge two groups
 * if both have a shared memory tile, the merged group also has
 * a shared memory tile and the size of the tile for the merge group
 * is smaller than the sum of the tile sizes of the individual groups.
 *
 * If merging two groups decreases the depth of the tile of
 * one or both of the two groups, then we need to check for overlapping
 * writes again.
 *
 * Return the number of groups after merging.
 * Return -1 on error.
 */
static int group_common_shared_memory_tile(struct ppcg_kernel *kernel,
        struct gpu_array_info *array, int n,
        struct gpu_array_ref_group **groups, struct gpu_group_data *data)
{
        int i, j;
        int recompute_overlap = 0;
        isl_ctx *ctx = isl_space_get_ctx(array->space);

        for (i = 0; i < n; ++i) {
                if (!groups[i]->shared_tile)
                        continue;
                for (j = n - 1; j > i; --j) {
                        struct gpu_array_ref_group *group;

                        if (!groups[j]->shared_tile)
                                continue;

                        if (!depth_accesses_overlap(groups[i], groups[j]))
                                continue;

                        group = join_groups(groups[i], groups[j]);
                        if (compute_group_bounds(kernel, group, data) < 0) {
                                gpu_array_ref_group_free(group);
                                return -1;
                        }
                        if (!group->shared_tile ||
                            !smaller_tile(group->shared_tile,
                                        groups[i]->shared_tile,
                                        groups[j]->shared_tile)) {
                                gpu_array_ref_group_free(group);
                                continue;
                        }

                        if (group->min_depth < groups[i]->min_depth ||
                            group->min_depth < groups[j]->min_depth)
                                recompute_overlap = 1;
                        gpu_array_ref_group_free(groups[i]);
                        gpu_array_ref_group_free(groups[j]);
                        groups[i] = group;
                        if (j != n - 1)
                                groups[j] = groups[n - 1];
                        n--;
                }
        }

        if (recompute_overlap)
                n = group_depth_overlapping_writes(kernel, n, groups, data);
        return n;
}

/* Set array->n_group and array->groups to n and groups.
 *
 * Additionally, set the "nr" field of each group.
 */
static void set_array_groups(struct gpu_local_array_info *array,
        int n, struct gpu_array_ref_group **groups)
{
        int i, j;

        array->n_group = n;
        array->groups = groups;

        for (i = 0; i < n; ++i)
                groups[i]->nr = i;
}

/* Combine all groups in "groups" into a single group and return
 * the new number of groups (1 or 0 if there were no groups to start with).
 */
static int join_all_groups(int n, struct gpu_array_ref_group **groups)
{
        int i;

        for (i = n - 1; i > 0; --i) {
                groups[0] = join_groups_and_free(groups[0], groups[i]);
                groups[i] = NULL;
                n--;
        }

        return n;
}

/* Group array references that should be considered together when
 * deciding whether to access them from private, shared or global memory.
 * Return -1 on error.
 *
 * In particular, if two array references overlap and if one of them
 * is a write, then the two references are grouped together.
 * We first perform an initial grouping based only on the access relation.
 * After computing shared and private memory tiles, we check for
 * overlapping writes again, but this time taking into account
 * the depth of the effective tile.
 *
 * Furthermore, if two groups admit a shared memory tile and if the
 * combination of the two also admits a shared memory tile, we merge
 * the two groups.
 *
 * If the array contains structures, then we compute a single
 * reference group without trying to find any tiles
 * since we do not map such arrays to private or shared
 * memory.
 */
static int group_array_references(struct ppcg_kernel *kernel,
        struct gpu_local_array_info *local, struct gpu_group_data *data)
{
        int i;
        int n;
        isl_ctx *ctx = isl_union_map_get_ctx(data->shared_sched);
        struct gpu_array_ref_group **groups;

        groups = isl_calloc_array(ctx, struct gpu_array_ref_group *,
                                        local->array->n_ref);
        if (!groups)
                return -1;

        n = populate_array_references(local, groups, data);

        if (local->array->has_compound_element) {
                n = join_all_groups(n, groups);
                set_array_groups(local, n, groups);
                return 0;
        }

        n = group_overlapping_writes(kernel, n, groups, data);

        for (i = 0; i < n; ++i)
                if (compute_group_bounds(kernel, groups[i], data) < 0)
                        n = -1;

        n = group_depth_overlapping_writes(kernel, n, groups, data);

        n = group_common_shared_memory_tile(kernel, local->array,
                                            n, groups, data);

        set_array_groups(local, n, groups);

        if (n >= 0)
                return 0;

        for (i = 0; i < local->array->n_ref; ++i)
                gpu_array_ref_group_free(groups[i]);
        return -1;
}

/* For each scalar in the input program, check if there are any
 * order dependences active inside the current kernel, within
 * the same iteration of "host_schedule".
 * If so, mark the scalar as force_private so that it will be
 * mapped to a register.
 */
static void check_scalar_live_ranges_in_host(struct ppcg_kernel *kernel,
        __isl_take isl_union_map *host_schedule)
{
        int i;
        isl_union_map *sched;
        isl_union_set *domain;
        isl_union_map *same_host_iteration;

        kernel->any_force_private = 0;

        sched = isl_union_map_universe(isl_union_map_copy(host_schedule));
        domain = isl_union_map_domain(sched);

        same_host_iteration = isl_union_map_apply_range(host_schedule,
                    isl_union_map_reverse(isl_union_map_copy(host_schedule)));

        for (i = 0; i < kernel->n_array; ++i) {
                struct gpu_local_array_info *local = &kernel->array[i];
                isl_union_map *order;

                local->force_private = 0;
                if (local->array->n_index != 0)
                        continue;
                order = isl_union_map_copy(local->array->dep_order);
                order = isl_union_map_intersect_domain(order,
                                                    isl_union_set_copy(domain));
                order = isl_union_map_intersect_range(order,
                                                    isl_union_set_copy(domain));
                order = isl_union_map_intersect(order,
                                    isl_union_map_copy(same_host_iteration));
                if (!isl_union_map_is_empty(order)) {
                        local->force_private = 1;
                        kernel->any_force_private = 1;
                }
                isl_union_map_free(order);
        }

        isl_union_map_free(same_host_iteration);
        isl_union_set_free(domain);
}

/* For each scalar in the input program, check if there are any
 * order dependences active inside the current kernel, within
 * the same iteration of the host schedule, i.e., the prefix
 * schedule at "node".
 * If so, mark the scalar as force_private so that it will be
 * mapped to a register.
 */
static void check_scalar_live_ranges(struct ppcg_kernel *kernel,
        __isl_keep isl_schedule_node *node)
{
        isl_union_map *sched;

        if (!kernel->options->live_range_reordering)
                return;

        sched = isl_schedule_node_get_prefix_schedule_union_map(node);

        check_scalar_live_ranges_in_host(kernel, sched);
}

/* Create a set of dimension data->thread_depth + data->n_thread
 * that equates the residue of the final data->n_thread dimensions
 * modulo the "sizes" to the thread identifiers.
 * "space" is a parameter space containing the thread identifiers.
 * Store the computed set in data->privatization.
 */
static void compute_privatization(struct gpu_group_data *data,
        __isl_take isl_space *space, int *sizes)
{
        int i;
        isl_ctx *ctx;
        isl_local_space *ls;
        isl_set *set;

        ctx = isl_union_map_get_ctx(data->shared_sched);
        space = isl_space_set_from_params(space);
        space = isl_space_add_dims(space, isl_dim_set,
                                    data->thread_depth + data->n_thread);
        set = isl_set_universe(space);
        space = isl_set_get_space(set);
        ls = isl_local_space_from_space(space);

        for (i = 0; i < data->n_thread; ++i) {
                isl_aff *aff, *aff2;
                isl_constraint *c;
                isl_val *v;
                char name[20];
                int pos;

                aff = isl_aff_var_on_domain(isl_local_space_copy(ls),
                                        isl_dim_set, data->thread_depth + i);
                v = isl_val_int_from_si(ctx, sizes[i]);
                aff = isl_aff_mod_val(aff, v);
                snprintf(name, sizeof(name), "t%d", i);
                pos = isl_set_find_dim_by_name(set, isl_dim_param, name);
                aff2 = isl_aff_var_on_domain(isl_local_space_copy(ls),
                                        isl_dim_param, pos);
                aff = isl_aff_sub(aff, aff2);
                c = isl_equality_from_aff(aff);
                set = isl_set_add_constraint(set, c);
        }

        isl_local_space_free(ls);
        data->privatization = set;
}

/* Group references of all arrays in "kernel".
 * "node" points to the kernel mark.
 *
 * We first extract all required schedule information into
 * a gpu_group_data structure and then consider each array
 * in turn.
 */
int gpu_group_references(struct ppcg_kernel *kernel,
        __isl_keep isl_schedule_node *node)
{
        int i;
        int r = 0;
        isl_space *space;
        struct gpu_group_data data;

        check_scalar_live_ranges(kernel, node);

        data.scop = kernel->prog->scop;

        data.kernel_depth = isl_schedule_node_get_schedule_depth(node);
        data.host_sched = isl_schedule_node_get_prefix_schedule_relation(node);

        node = isl_schedule_node_copy(node);
        node = gpu_tree_move_down_to_thread(node, kernel->core);
        data.shared_sched =
                isl_schedule_node_get_prefix_schedule_relation(node);
        data.shared_sched = isl_union_map_detect_equalities(data.shared_sched);

        node = isl_schedule_node_child(node, 0);
        data.thread_depth = isl_schedule_node_get_schedule_depth(node);
        data.n_thread = isl_schedule_node_band_n_member(node);
        data.thread_sched = isl_union_map_copy(data.shared_sched);
        data.thread_sched = isl_union_map_flat_range_product(data.thread_sched,
                isl_schedule_node_band_get_partial_schedule_union_map(node));
        data.thread_sched = isl_union_map_detect_equalities(data.thread_sched);
        node = isl_schedule_node_child(node, 0);
        data.full_sched = isl_union_map_copy(data.thread_sched);
        data.full_sched = isl_union_map_flat_range_product(data.full_sched,
                isl_schedule_node_get_subtree_schedule_union_map(node));
        isl_schedule_node_free(node);

        space = isl_union_set_get_space(kernel->thread_filter);
        compute_privatization(&data, space, kernel->block_dim);

        for (i = 0; i < kernel->n_array; ++i) {
                r = group_array_references(kernel, &kernel->array[i], &data);
                if (r < 0)
                        break;
        }

        isl_union_map_free(data.host_sched);
        isl_union_map_free(data.shared_sched);
        isl_union_map_free(data.thread_sched);
        isl_union_map_free(data.full_sched);
        isl_set_free(data.privatization);

        return r;
}

/* Given a description of an array tile "tile" and the "space"
 *
 *      { D -> A }
 *
 * where D represents the first tile->depth schedule dimensions
 * and A represents the array, construct an isl_multi_aff
 *
 *      { [D[i] -> A[a]] -> A'[a'] }
 *
 * with A' a scaled down copy of A according to the shifts and strides
 * in "tile".  In particular,
 *
 *      a' = (a + shift(i))/stride
 *
 * "insert_array" represents
 *
 *      { [D -> A] -> D }
 *
 * and is used to insert A into the domain of functions that only
 * reference D.
 */
static __isl_give isl_multi_aff *strided_tile(
        struct gpu_array_tile *tile, __isl_keep isl_space *space,
        __isl_keep isl_multi_aff *insert_array)
{
        int i;
        isl_ctx *ctx;
        isl_multi_aff *shift;
        isl_multi_val *stride;
        isl_space *space2;
        isl_local_space *ls;
        isl_multi_aff *tiling;

        ctx = isl_space_get_ctx(space);
        space2 = isl_space_domain(isl_space_copy(space));
        ls = isl_local_space_from_space(space2);
        space2 = isl_space_range(isl_space_copy(space));
        stride = isl_multi_val_zero(space2);
        shift = isl_multi_aff_zero(isl_space_copy(space));

        for (i = 0; i < tile->n; ++i) {
                struct gpu_array_bound *bound = &tile->bound[i];
                isl_val *stride_i;
                isl_aff *shift_i;

                if (tile->bound[i].shift) {
                        stride_i = isl_val_copy(bound->stride);
                        shift_i = isl_aff_copy(bound->shift);
                } else {
                        stride_i = isl_val_one(ctx);
                        shift_i = isl_aff_zero_on_domain(
                                        isl_local_space_copy(ls));
                }

                stride = isl_multi_val_set_val(stride, i, stride_i);
                shift = isl_multi_aff_set_aff(shift, i, shift_i);
        }
        isl_local_space_free(ls);

        shift = isl_multi_aff_pullback_multi_aff(shift,
                                    isl_multi_aff_copy(insert_array));

        tiling = isl_multi_aff_range_map(isl_space_copy(space));
        tiling = isl_multi_aff_add(tiling, shift);
        tiling = isl_multi_aff_scale_down_multi_val(tiling, stride);

        return tiling;
}

/* Compute a tiling for the array reference group "group".
 *
 * The tiling is of the form
 *
 *      { [D[i] -> A[a]] -> T[t] }
 *
 * where D represents the first tile->depth schedule dimensions,
 * A represents the global array and T represents the shared or
 * private memory tile.  The name of T is the name of the local
 * array.
 *
 * If there is any stride in the accesses, then the mapping is
 *
 *      t = (a + shift(i))/stride - lb(i)
 *
 * otherwise, it is simply
 *
 *      t = a - lb(i)
 */
void gpu_array_ref_group_compute_tiling(struct gpu_array_ref_group *group)
{
        int i;
        struct gpu_array_tile *tile;
        struct gpu_array_info *array = group->array;
        isl_space *space;
        isl_multi_aff *tiling, *lb, *insert_array;
        isl_printer *p;
        char *local_name;

        tile = gpu_array_ref_group_tile(group);
        if (!tile)
                return;

        space = isl_map_get_space(group->access);
        space = isl_space_from_range(isl_space_range(space));
        space = isl_space_add_dims(space, isl_dim_in, tile->depth);
        insert_array = isl_multi_aff_domain_map(isl_space_copy(space));

        for (i = 0; i < tile->n; ++i)
                if (tile->bound[i].shift)
                        break;

        if (i < tile->n)
                tiling = strided_tile(tile, space, insert_array);
        else
                tiling = isl_multi_aff_range_map(isl_space_copy(space));

        lb = isl_multi_aff_zero(space);
        for (i = 0; i < tile->n; ++i) {
                isl_aff *lb_i = isl_aff_copy(tile->bound[i].lb);
                lb = isl_multi_aff_set_aff(lb, i, lb_i);
        }
        lb = isl_multi_aff_pullback_multi_aff(lb, insert_array);

        tiling = isl_multi_aff_sub(tiling, lb);

        p = isl_printer_to_str(isl_multi_aff_get_ctx(tiling));
        p = gpu_array_ref_group_print_name(group, p);
        local_name = isl_printer_get_str(p);
        isl_printer_free(p);
        tiling = isl_multi_aff_set_tuple_name(tiling, isl_dim_out, local_name);
        free(local_name);

        tile->tiling = tiling;
}