Kokkos_UnorderedMap.hpp
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Kokkos_UnorderedMap.hpp
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	/*
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	// Kokkos: Manycore Performance-Portable Multidimensional Arrays
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	/// \file Kokkos_UnorderedMap.hpp
	/// \brief Declaration and definition of Kokkos::UnorderedMap.
	///
	/// This header file declares and defines Kokkos::UnorderedMap and its
	/// related nonmember functions.

	#ifndef KOKKOS_UNORDERED_MAP_HPP
	#define KOKKOS_UNORDERED_MAP_HPP

	#include <Kokkos_Macros.hpp>
	#include <Kokkos_Functional.hpp>
	#include <Kokkos_View.hpp>
	#include <Kokkos_Atomic.hpp>
	#include <Kokkos_HostSpace.hpp>

	#include <Kokkos_Bitset.hpp>

	#include <impl/Kokkos_Traits.hpp>
	#include <impl/Kokkos_UnorderedMap_impl.hpp>


	#include <iostream>

	#include <stdint.h>
	#include <stdexcept>


	namespace Kokkos {

	enum { UnorderedMapInvalidIndex = ~0u };

	/// \brief First element of the return value of UnorderedMap::insert().
	///
	/// Inserting an element into an UnorderedMap is not guaranteed to
	/// succeed. There are three possible conditions:
	/// <ol>
	/// <li> <tt>INSERT_FAILED</tt>: The insert failed. This usually
	/// means that the UnorderedMap ran out of space. </li>
	/// <li> <tt>INSERT_SUCCESS</tt>: The insert succeeded, and the key
	/// did <i>not</i> exist in the table before. </li>
	/// <li> <tt>INSERT_EXISTING</tt>: The insert succeeded, and the key
	/// <i>did</i> exist in the table before. The new value was
	/// ignored and the old value was left in place. </li>
	/// </ol>

	class UnorderedMapInsertResult
	{
	private:
	enum Status{
	SUCCESS = 1u << 31
	, EXISTING = 1u << 30
	, FREED_EXISTING = 1u << 29
	, LIST_LENGTH_MASK = ~(SUCCESS \| EXISTING \| FREED_EXISTING)
	};

	public:
	/// Did the map successful insert the key/value pair
	KOKKOS_FORCEINLINE_FUNCTION
	bool success() const { return (m_status & SUCCESS); }

	/// Was the key already present in the map
	KOKKOS_FORCEINLINE_FUNCTION
	bool existing() const { return (m_status & EXISTING); }

	/// Did the map fail to insert the key due to insufficent capacity
	KOKKOS_FORCEINLINE_FUNCTION
	bool failed() const { return m_index == UnorderedMapInvalidIndex; }

	/// Did the map lose a race condition to insert a dupulicate key/value pair
	/// where an index was claimed that needed to be released
	KOKKOS_FORCEINLINE_FUNCTION
	bool freed_existing() const { return (m_status & FREED_EXISTING); }

	/// How many iterations through the insert loop did it take before the
	/// map returned
	KOKKOS_FORCEINLINE_FUNCTION
	uint32_t list_position() const { return (m_status & LIST_LENGTH_MASK); }

	/// Index where the key can be found as long as the insert did not fail
	KOKKOS_FORCEINLINE_FUNCTION
	uint32_t index() const { return m_index; }

	KOKKOS_FORCEINLINE_FUNCTION
	UnorderedMapInsertResult()
	: m_index(UnorderedMapInvalidIndex)
	, m_status(0)
	{}

	KOKKOS_FORCEINLINE_FUNCTION
	void increment_list_position()
	{
	m_status += (list_position() < LIST_LENGTH_MASK) ? 1u : 0u;
	}

	KOKKOS_FORCEINLINE_FUNCTION
	void set_existing(uint32_t i, bool arg_freed_existing)
	{
	m_index = i;
	m_status = EXISTING \| (arg_freed_existing ? FREED_EXISTING : 0u) \| list_position();
	}

	KOKKOS_FORCEINLINE_FUNCTION
	void set_success(uint32_t i)
	{
	m_index = i;
	m_status = SUCCESS \| list_position();
	}

	private:
	uint32_t m_index;
	uint32_t m_status;
	};

	/// \class UnorderedMap
	/// \brief Thread-safe, performance-portable lookup table.
	///
	/// This class provides a lookup table. In terms of functionality,
	/// this class compares to std::unordered_map (new in C++11).
	/// "Unordered" means that keys are not stored in any particular
	/// order, unlike (for example) std::map. "Thread-safe" means that
	/// lookups, insertion, and deletion are safe to call by multiple
	/// threads in parallel. "Performance-portable" means that parallel
	/// performance of these operations is reasonable, on multiple
	/// hardware platforms. Platforms on which performance has been
	/// tested include conventional Intel x86 multicore processors, Intel
	/// Xeon Phi ("MIC"), and NVIDIA GPUs.
	///
	/// Parallel performance portability entails design decisions that
	/// might differ from one's expectation for a sequential interface.
	/// This particularly affects insertion of single elements. In an
	/// interface intended for sequential use, insertion might reallocate
	/// memory if the original allocation did not suffice to hold the new
	/// element. In this class, insertion does <i>not</i> reallocate
	/// memory. This means that it might fail. insert() returns an enum
	/// which indicates whether the insert failed. There are three
	/// possible conditions:
	/// <ol>
	/// <li> <tt>INSERT_FAILED</tt>: The insert failed. This usually
	/// means that the UnorderedMap ran out of space. </li>
	/// <li> <tt>INSERT_SUCCESS</tt>: The insert succeeded, and the key
	/// did <i>not</i> exist in the table before. </li>
	/// <li> <tt>INSERT_EXISTING</tt>: The insert succeeded, and the key
	/// <i>did</i> exist in the table before. The new value was
	/// ignored and the old value was left in place. </li>
	/// </ol>
	///
	/// \tparam Key Type of keys of the lookup table. If \c const, users
	/// are not allowed to add or remove keys, though they are allowed
	/// to change values. In that case, the implementation may make
	/// optimizations specific to the <tt>Device</tt>. For example, if
	/// <tt>Device</tt> is \c Cuda, it may use texture fetches to access
	/// keys.
	///
	/// \tparam Value Type of values stored in the lookup table. You may use
	/// \c void here, in which case the table will be a set of keys. If
	/// \c const, users are not allowed to change entries.
	/// In that case, the implementation may make
	/// optimizations specific to the \c Device, such as using texture
	/// fetches to access values.
	///
	/// \tparam Device The Kokkos Device type.
	///
	/// \tparam Hasher Definition of the hash function for instances of
	/// <tt>Key</tt>. The default will calculate a bitwise hash.
	///
	/// \tparam EqualTo Definition of the equality function for instances of
	/// <tt>Key</tt>. The default will do a bitwise equality comparison.
	///
	template < typename Key
	, typename Value
	, typename Device = Kokkos::DefaultExecutionSpace
	, typename Hasher = pod_hash<typename Impl::remove_const<Key>::type>
	, typename EqualTo = pod_equal_to<typename Impl::remove_const<Key>::type>
	>
	class UnorderedMap
	{
	public:
	//! \name Public types and constants
	//@{

	//key_types
	typedef Key declared_key_type;
	typedef typename Impl::remove_const<declared_key_type>::type key_type;
	typedef typename Impl::add_const<key_type>::type const_key_type;

	//value_types
	typedef Value declared_value_type;
	typedef typename Impl::remove_const<declared_value_type>::type value_type;
	typedef typename Impl::add_const<value_type>::type const_value_type;

	typedef Device device_type;
	typedef Hasher hasher_type;
	typedef EqualTo equal_to_type;
	typedef uint32_t size_type;

	//map_types
	typedef UnorderedMap<declared_key_type,declared_value_type,device_type,hasher_type,equal_to_type> declared_map_type;
	typedef UnorderedMap<key_type,value_type,device_type,hasher_type,equal_to_type> insertable_map_type;
	typedef UnorderedMap<const_key_type,value_type,device_type,hasher_type,equal_to_type> modifiable_map_type;
	typedef UnorderedMap<const_key_type,const_value_type,device_type,hasher_type,equal_to_type> const_map_type;

	static const bool is_set = Impl::is_same<void,value_type>::value;
	static const bool has_const_key = Impl::is_same<const_key_type,declared_key_type>::value;
	static const bool has_const_value = is_set \|\| Impl::is_same<const_value_type,declared_value_type>::value;

	static const bool is_insertable_map = !has_const_key && (is_set \|\| !has_const_value);
	static const bool is_modifiable_map = has_const_key && !has_const_value;
	static const bool is_const_map = has_const_key && has_const_value;


	typedef UnorderedMapInsertResult insert_result;

	typedef typename Device::host_mirror_device_type host_mirror_device_type;

	typedef UnorderedMap<Key,Value,host_mirror_device_type,Hasher,EqualTo> HostMirror;

	typedef Impl::UnorderedMapHistogram<const_map_type> histogram_type;

	//@}

	private:
	enum { invalid_index = ~static_cast<size_type>(0) };

	typedef typename Impl::if_c< is_set, int, declared_value_type>::type impl_value_type;

	typedef typename Impl::if_c< is_insertable_map
	, View< key_type *, device_type>
	, View< const key_type *, device_type, MemoryTraits<RandomAccess> >
	>::type key_type_view;

	typedef typename Impl::if_c< is_insertable_map \|\| is_modifiable_map
	, View< impl_value_type *, device_type>
	, View< const impl_value_type *, device_type, MemoryTraits<RandomAccess> >
	>::type value_type_view;

	typedef typename Impl::if_c< is_insertable_map
	, View< size_type *, device_type>
	, View< const size_type *, device_type, MemoryTraits<RandomAccess> >
	>::type size_type_view;

	typedef typename Impl::if_c< is_insertable_map
	, Bitset< device_type >
	, ConstBitset< device_type>
	>::type bitset_type;

	enum { modified_idx = 0, erasable_idx = 1, failed_insert_idx = 2 };
	enum { num_scalars = 3 };
	typedef View< int[num_scalars], LayoutLeft, device_type> scalars_view;

	public:
	//! \name Public member functions
	//@{

	UnorderedMap()
	: m_bounded_insert()
	, m_hasher()
	, m_equal_to()
	, m_size()
	, m_available_indexes()
	, m_hash_lists()
	, m_next_index()
	, m_keys()
	, m_values()
	, m_scalars()
	{}

	/// \brief Constructor
	///
	/// \param capacity_hint [in] Initial guess of how many unique keys will be inserted into the map
	/// \param hash [in] Hasher function for \c Key instances. The
	/// default value usually suffices.
	UnorderedMap( size_type capacity_hint, hasher_type hasher = hasher_type(), equal_to_type equal_to = equal_to_type() )
	: m_bounded_insert(true)
	, m_hasher(hasher)
	, m_equal_to(equal_to)
	, m_size()
	, m_available_indexes(calculate_capacity(capacity_hint))
	, m_hash_lists(AllocateWithoutInitializing(), "UnorderedMap hash list", Impl::find_hash_size(capacity()))
	, m_next_index(AllocateWithoutInitializing(), "UnorderedMap next index", capacity()+1) // +1 so that the *_at functions can always return a valid reference
	, m_keys("UnorderedMap keys",capacity()+1)
	, m_values("UnorderedMap values",(is_set? 1 : capacity()+1))
	, m_scalars("UnorderedMap scalars")
	{
	if (!is_insertable_map) {
	throw std::runtime_error("Cannot construct a non-insertable (i.e. const key_type) unordered_map");
	}

	Kokkos::deep_copy(m_hash_lists, invalid_index);
	Kokkos::deep_copy(m_next_index, invalid_index);
	}

	void reset_failed_insert_flag()
	{
	reset_flag(failed_insert_idx);
	}

	histogram_type get_histogram()
	{
	return histogram_type(*this);
	}

	//! Clear all entries in the table.
	void clear()
	{
	m_bounded_insert = true;

	if (capacity() == 0) return;

	m_available_indexes.clear();

	Kokkos::deep_copy(m_hash_lists, invalid_index);
	Kokkos::deep_copy(m_next_index, invalid_index);
	{
	const key_type tmp = key_type();
	Kokkos::deep_copy(m_keys,tmp);
	}
	if (is_set){
	const impl_value_type tmp = impl_value_type();
	Kokkos::deep_copy(m_values,tmp);
	}
	{
	Kokkos::deep_copy(m_scalars, 0);
	}
	}

	/// \brief Change the capacity of the the map
	///
	/// If there are no failed inserts the current size of the map will
	/// be used as a lower bound for the input capacity.
	/// If the map is not empty and does not have failed inserts
	/// and the capacity changes then the current data is copied
	/// into the resized / rehashed map.
	///
	/// This is <i>not</i> a device function; it may <i>not</i> be
	/// called in a parallel kernel.
	bool rehash(size_type requested_capacity = 0)
	{
	const bool bounded_insert = (capacity() == 0) \|\| (size() == 0u);
	return rehash(requested_capacity, bounded_insert );
	}

	bool rehash(size_type requested_capacity, bool bounded_insert)
	{
	if(!is_insertable_map) return false;

	const size_type curr_size = size();
	requested_capacity = (requested_capacity < curr_size) ? curr_size : requested_capacity;

	insertable_map_type tmp(requested_capacity, m_hasher, m_equal_to);

	if (curr_size) {
	tmp.m_bounded_insert = false;
	Impl::UnorderedMapRehash<insertable_map_type> f(tmp,*this);
	f.apply();
	}
	tmp.m_bounded_insert = bounded_insert;

	*this = tmp;

	return true;
	}

	/// \brief The number of entries in the table.
	///
	/// This method has undefined behavior when erasable() is true.
	///
	/// Note that this is not a device function; it cannot be called in
	/// a parallel kernel. The value is not stored as a variable; it
	/// must be computed.
	size_type size() const
	{
	if( capacity() == 0u ) return 0u;
	if (modified()) {
	m_size = m_available_indexes.count();
	reset_flag(modified_idx);
	}
	return m_size;
	}

	/// \brief The current number of failed insert() calls.
	///
	/// This is <i>not</i> a device function; it may <i>not</i> be
	/// called in a parallel kernel. The value is not stored as a
	/// variable; it must be computed.
	bool failed_insert() const
	{
	return get_flag(failed_insert_idx);
	}

	bool erasable() const
	{
	return is_insertable_map ? get_flag(erasable_idx) : false;
	}

	bool begin_erase()
	{
	bool result = !erasable();
	if (is_insertable_map && result) {
	device_type::fence();
	set_flag(erasable_idx);
	device_type::fence();
	}
	return result;
	}

	bool end_erase()
	{
	bool result = erasable();
	if (is_insertable_map && result) {
	device_type::fence();
	Impl::UnorderedMapErase<declared_map_type> f(*this);
	f.apply();
	device_type::fence();
	reset_flag(erasable_idx);
	}
	return result;
	}

	/// \brief The maximum number of entries that the table can hold.
	///
	/// This <i>is</i> a device function; it may be called in a parallel
	/// kernel.
	KOKKOS_FORCEINLINE_FUNCTION
	size_type capacity() const
	{ return m_available_indexes.size(); }

	/// \brief The number of hash table "buckets."
	///
	/// This is different than the number of entries that the table can
	/// hold. Each key hashes to an index in [0, hash_capacity() - 1].
	/// That index can hold zero or more entries. This class decides
	/// what hash_capacity() should be, given the user's upper bound on
	/// the number of entries the table must be able to hold.
	///
	/// This <i>is</i> a device function; it may be called in a parallel
	/// kernel.
	KOKKOS_INLINE_FUNCTION
	size_type hash_capacity() const
	{ return m_hash_lists.size(); }

	//---------------------------------------------------------------------------
	//---------------------------------------------------------------------------


	/// This <i>is</i> a device function; it may be called in a parallel
	/// kernel. As discussed in the class documentation, it need not
	/// succeed. The return value tells you if it did.
	///
	/// \param k [in] The key to attempt to insert.
	/// \param v [in] The corresponding value to attempt to insert. If
	/// using this class as a set (with Value = void), then you need not
	/// provide this value.
	KOKKOS_INLINE_FUNCTION
	insert_result insert(key_type const& k, impl_value_type const&v = impl_value_type()) const
	{
	insert_result result;

	if ( !is_insertable_map \|\| capacity() == 0u \|\| m_scalars((int)erasable_idx) ) {
	return result;
	}

	if ( !m_scalars((int)modified_idx) ) {
	m_scalars((int)modified_idx) = true;
	}

	int volatile & failed_insert_ref = m_scalars((int)failed_insert_idx) ;

	const size_type hash_value = m_hasher(k);
	const size_type hash_list = hash_value % m_hash_lists.size();

	size_type * curr_ptr = & m_hash_lists[ hash_list ];
	size_type new_index = invalid_index ;

	// Force integer multiply to long
	size_type index_hint = static_cast<size_type>( (static_cast<double>(hash_list) * capacity()) / m_hash_lists.size());

	size_type find_attempts = 0;

	enum { bounded_find_attempts = 32u };
	const size_type max_attempts = (m_bounded_insert && (bounded_find_attempts < m_available_indexes.max_hint()) ) ?
	bounded_find_attempts :
	m_available_indexes.max_hint();

	bool not_done = true ;

	#if defined( __MIC__ )
	#pragma noprefetch
	#endif
	while ( not_done ) {

	// Continue searching the unordered list for this key,
	// list will only be appended during insert phase.
	// Need volatile_load as other threads may be appending.
	size_type curr = volatile_load(curr_ptr);

	KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
	#if defined( __MIC__ )
	#pragma noprefetch
	#endif
	while ( curr != invalid_index && ! m_equal_to( volatile_load(&m_keys[curr]), k) ) {
	result.increment_list_position();
	index_hint = curr;
	curr_ptr = &m_next_index[curr];
	curr = volatile_load(curr_ptr);
	KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
	}

	//------------------------------------------------------------
	// If key already present then return that index.
	if ( curr != invalid_index ) {

	const bool free_existing = new_index != invalid_index;
	if ( free_existing ) {
	// Previously claimed an unused entry that was not inserted.
	// Release this unused entry immediately.
	if (!m_available_indexes.reset(new_index) ) {
	printf("Unable to free existing\n");
	}

	}

	result.set_existing(curr, free_existing);
	not_done = false ;
	}
	//------------------------------------------------------------
	// Key is not currently in the map.
	// If the thread has claimed an entry try to insert now.
	else {

	//------------------------------------------------------------
	// If have not already claimed an unused entry then do so now.
	if (new_index == invalid_index) {

	bool found = false;
	// use the hash_list as the flag for the search direction
	Kokkos::tie(found, index_hint) = m_available_indexes.find_any_unset_near( index_hint, hash_list );

	// found and index and this thread set it
	if ( !found && ++find_attempts >= max_attempts ) {
	failed_insert_ref = true;
	not_done = false ;
	}
	else if (m_available_indexes.set(index_hint) ) {
	new_index = index_hint;
	// Set key and value
	KOKKOS_NONTEMPORAL_PREFETCH_STORE(&m_keys[new_index]);
	m_keys[new_index] = k ;

	if (!is_set) {
	KOKKOS_NONTEMPORAL_PREFETCH_STORE(&m_values[new_index]);
	m_values[new_index] = v ;
	}

	// Do not proceed until key and value are updated in global memory
	memory_fence();
	}
	}
	else if (failed_insert_ref) {
	not_done = false;
	}

	// Attempt to append claimed entry into the list.
	// Another thread may also be trying to append the same list so protect with atomic.
	if ( new_index != invalid_index &&
	curr == atomic_compare_exchange(curr_ptr, static_cast<size_type>(invalid_index), new_index) ) {
	// Succeeded in appending
	result.set_success(new_index);
	not_done = false ;
	}
	}
	} // while ( not_done )

	return result ;
	}

	KOKKOS_INLINE_FUNCTION
	bool erase(key_type const& k) const
	{
	bool result = false;

	if(is_insertable_map && 0u < capacity() && m_scalars((int)erasable_idx)) {

	if ( ! m_scalars((int)modified_idx) ) {
	m_scalars((int)modified_idx) = true;
	}

	size_type index = find(k);
	if (valid_at(index)) {
	m_available_indexes.reset(index);
	result = true;
	}
	}

	return result;
	}

	/// \brief Find the given key \c k, if it exists in the table.
	///
	/// \return If the key exists in the table, the index of the
	/// value corresponding to that key; otherwise, an invalid index.
	///
	/// This <i>is</i> a device function; it may be called in a parallel
	/// kernel.
	KOKKOS_INLINE_FUNCTION
	size_type find( const key_type & k) const
	{
	size_type curr = 0u < capacity() ? m_hash_lists( m_hasher(k) % m_hash_lists.size() ) : invalid_index ;

	KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
	while (curr != invalid_index && !m_equal_to( m_keys[curr], k) ) {
	KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
	curr = m_next_index[curr];
	}

	return curr;
	}

	/// \brief Does the key exist in the map
	///
	/// This <i>is</i> a device function; it may be called in a parallel
	/// kernel.
	KOKKOS_INLINE_FUNCTION
	bool exists( const key_type & k) const
	{
	return valid_at(find(k));
	}


	/// \brief Get the value with \c i as its direct index.
	///
	/// \param i [in] Index directly into the array of entries.
	///
	/// This <i>is</i> a device function; it may be called in a parallel
	/// kernel.
	///
	/// 'const value_type' via Cuda texture fetch must return by value.
	KOKKOS_FORCEINLINE_FUNCTION
	typename Impl::if_c< (is_set \|\| has_const_value), impl_value_type, impl_value_type &>::type
	value_at(size_type i) const
	{
	return m_values[ is_set ? 0 : (i < capacity() ? i : capacity()) ];
	}

	/// \brief Get the key with \c i as its direct index.
	///
	/// \param i [in] Index directly into the array of entries.
	///
	/// This <i>is</i> a device function; it may be called in a parallel
	/// kernel.
	KOKKOS_FORCEINLINE_FUNCTION
	key_type key_at(size_type i) const
	{
	return m_keys[ i < capacity() ? i : capacity() ];
	}

	KOKKOS_FORCEINLINE_FUNCTION
	bool valid_at(size_type i) const
	{
	return m_available_indexes.test(i);
	}

	template <typename SKey, typename SValue>
	UnorderedMap( UnorderedMap<SKey,SValue,Device,Hasher,EqualTo> const& src,
	typename Impl::enable_if< Impl::UnorderedMapCanAssign<declared_key_type,declared_value_type,SKey,SValue>::value,int>::type = 0
	)
	: m_bounded_insert(src.m_bounded_insert)
	, m_hasher(src.m_hasher)
	, m_equal_to(src.m_equal_to)
	, m_size(src.m_size)
	, m_available_indexes(src.m_available_indexes)
	, m_hash_lists(src.m_hash_lists)
	, m_next_index(src.m_next_index)
	, m_keys(src.m_keys)
	, m_values(src.m_values)
	, m_scalars(src.m_scalars)
	{}


	template <typename SKey, typename SValue>
	typename Impl::enable_if< Impl::UnorderedMapCanAssign<declared_key_type,declared_value_type,SKey,SValue>::value
	,declared_map_type & >::type
	operator=( UnorderedMap<SKey,SValue,Device,Hasher,EqualTo> const& src)
	{
	m_bounded_insert = src.m_bounded_insert;
	m_hasher = src.m_hasher;
	m_equal_to = src.m_equal_to;
	m_size = src.m_size;
	m_available_indexes = src.m_available_indexes;
	m_hash_lists = src.m_hash_lists;
	m_next_index = src.m_next_index;
	m_keys = src.m_keys;
	m_values = src.m_values;
	m_scalars = src.m_scalars;
	return *this;
	}

	template <typename SKey, typename SValue, typename SDevice>
	typename Impl::enable_if< Impl::is_same< typename Impl::remove_const<SKey>::type, key_type>::value &&
	Impl::is_same< typename Impl::remove_const<SValue>::type, value_type>::value
	>::type
	create_copy_view( UnorderedMap<SKey, SValue, SDevice, Hasher,EqualTo> const& src)
	{
	if (m_hash_lists.ptr_on_device() != src.m_hash_lists.ptr_on_device()) {

	insertable_map_type tmp;

	tmp.m_bounded_insert = src.m_bounded_insert;
	tmp.m_hasher = src.m_hasher;
	tmp.m_equal_to = src.m_equal_to;
	tmp.m_size = src.size();
	tmp.m_available_indexes = bitset_type( src.capacity() );
	tmp.m_hash_lists = size_type_view( AllocateWithoutInitializing(), "UnorderedMap hash list", src.m_hash_lists.size() );
	tmp.m_next_index = size_type_view( AllocateWithoutInitializing(), "UnorderedMap next index", src.m_next_index.size() );
	tmp.m_keys = key_type_view( AllocateWithoutInitializing(), "UnorderedMap keys", src.m_keys.size() );
	tmp.m_values = value_type_view( AllocateWithoutInitializing(), "UnorderedMap values", src.m_values.size() );
	tmp.m_scalars = scalars_view("UnorderedMap scalars");

	Kokkos::deep_copy(tmp.m_available_indexes, src.m_available_indexes);

	typedef Kokkos::Impl::DeepCopy< typename device_type::memory_space, typename SDevice::memory_space > raw_deep_copy;

	raw_deep_copy(tmp.m_hash_lists.ptr_on_device(), src.m_hash_lists.ptr_on_device(), sizeof(size_type)*src.m_hash_lists.size());
	raw_deep_copy(tmp.m_next_index.ptr_on_device(), src.m_next_index.ptr_on_device(), sizeof(size_type)*src.m_next_index.size());
	raw_deep_copy(tmp.m_keys.ptr_on_device(), src.m_keys.ptr_on_device(), sizeof(key_type)*src.m_keys.size());
	if (!is_set) {
	raw_deep_copy(tmp.m_values.ptr_on_device(), src.m_values.ptr_on_device(), sizeof(impl_value_type)*src.m_values.size());
	}
	raw_deep_copy(tmp.m_scalars.ptr_on_device(), src.m_scalars.ptr_on_device(), sizeof(int)*num_scalars );

	*this = tmp;
	}
	}

	//@}
	private: // private member functions

	bool modified() const
	{
	return get_flag(modified_idx);
	}

	void set_flag(int flag) const
	{
	typedef Kokkos::Impl::DeepCopy< typename device_type::memory_space, Kokkos::HostSpace > raw_deep_copy;
	const int true_ = true;
	raw_deep_copy(m_scalars.ptr_on_device() + flag, &true_, sizeof(int));
	}

	void reset_flag(int flag) const
	{
	typedef Kokkos::Impl::DeepCopy< typename device_type::memory_space, Kokkos::HostSpace > raw_deep_copy;
	const int false_ = false;
	raw_deep_copy(m_scalars.ptr_on_device() + flag, &false_, sizeof(int));
	}

	bool get_flag(int flag) const
	{
	typedef Kokkos::Impl::DeepCopy< Kokkos::HostSpace, typename device_type::memory_space > raw_deep_copy;
	int result = false;
	raw_deep_copy(&result, m_scalars.ptr_on_device() + flag, sizeof(int));
	return result;
	}

	static uint32_t calculate_capacity(uint32_t capacity_hint)
	{
	// increase by 16% and round to nears multiple of 128
	return capacity_hint ? ((static_cast<uint32_t>(7ullcapacity_hint/6u) + 127u)/128u)128u : 128u;
	}

	private: // private members
	bool m_bounded_insert;
	hasher_type m_hasher;
	equal_to_type m_equal_to;
	mutable size_type m_size;
	bitset_type m_available_indexes;
	size_type_view m_hash_lists;
	size_type_view m_next_index;
	key_type_view m_keys;
	value_type_view m_values;
	scalars_view m_scalars;

	template <typename KKey, typename VValue, typename DDevice, typename HHash, typename EEqualTo>
	friend class UnorderedMap;

	template <typename UMap>
	friend struct Impl::UnorderedMapErase;

	template <typename UMap>
	friend struct Impl::UnorderedMapHistogram;

	template <typename UMap>
	friend struct Impl::UnorderedMapPrint;
	};

	// Specialization of deep_copy for two UnorderedMap objects.
	template < typename DKey, typename DT, typename DDevice
	, typename SKey, typename ST, typename SDevice
	, typename Hasher, typename EqualTo >
	inline void deep_copy( UnorderedMap<DKey, DT, DDevice, Hasher, EqualTo> & dst
	, const UnorderedMap<SKey, ST, SDevice, Hasher, EqualTo> & src )
	{
	dst.create_copy_view(src);
	}


	} // namespace Kokkos

	#endif //KOKKOS_UNORDERED_MAP_HPP

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