#852

Committed 17 Dec 2022 04:43PM UTC coverage: 85.912% (-0.7%) from 86.568%

Build # #852

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Committed by StellarBot

Commit Message

Merge #6106

6106: Modernizing modules of levels 0 to 5 r=hkaiser a=hkaiser

- flyby: HPX_FORWARD/HPX_MOVE now expand to std::forward and std::move if those are implemented as builtin functions

working towards #5497

Co-authored-by: Hartmut Kaiser <hartmut.kaiser@gmail.com>

Run Details

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82.49

/libs/core/threading_base/src/scheduler_base.cpp

//  Copyright (c) 2007-2019 Hartmut Kaiser
//
//  SPDX-License-Identifier: BSL-1.0
//  Distributed under the Boost Software License, Version 1.0. (See accompanying
//  file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)

#include <hpx/config.hpp>
#include <hpx/assert.hpp>
#include <hpx/execution_base/this_thread.hpp>
#include <hpx/threading_base/scheduler_base.hpp>
#include <hpx/threading_base/scheduler_mode.hpp>
#include <hpx/threading_base/scheduler_state.hpp>
#include <hpx/threading_base/thread_init_data.hpp>
#include <hpx/threading_base/thread_pool_base.hpp>
#if defined(HPX_HAVE_SCHEDULER_LOCAL_STORAGE)
#include <hpx/coroutines/detail/tss.hpp>
#endif

#include <algorithm>
#include <atomic>
#include <chrono>
#include <cmath>
#include <condition_variable>
#include <cstddef>
#include <cstdint>
#include <exception>
#include <limits>
#include <memory>
#include <mutex>
#include <ostream>
#include <set>
#include <string>
#include <utility>
#include <vector>

///////////////////////////////////////////////////////////////////////////////
namespace hpx { namespace threads { namespace policies {
    scheduler_base::scheduler_base(std::size_t num_threads,
        char const* description, thread_queue_init_parameters thread_queue_init,
        scheduler_mode mode)
      : suspend_mtxs_(num_threads)
      , suspend_conds_(num_threads)
      , pu_mtxs_(num_threads)
      , states_(num_threads)
      , description_(description)
      , thread_queue_init_(thread_queue_init)
      , parent_pool_(nullptr)
      , background_thread_count_(0)
      , polling_function_mpi_(&null_polling_function)
      , polling_function_cuda_(&null_polling_function)
      , polling_work_count_function_mpi_(&null_polling_work_count_function)
      , polling_work_count_function_cuda_(&null_polling_work_count_function)
    {
        set_scheduler_mode(mode);

#if defined(HPX_HAVE_THREAD_MANAGER_IDLE_BACKOFF)
        double max_time = thread_queue_init.max_idle_backoff_time_;

        wait_counts_.resize(num_threads);
        for (auto&& data : wait_counts_)
        {
            data.data_.wait_count_ = 0;
            data.data_.max_idle_backoff_time_ = max_time;
        }
#endif

        for (std::size_t i = 0; i != num_threads; ++i)
            states_[i].store(hpx::state::initialized);
    }

    void scheduler_base::idle_callback(std::size_t num_thread)
    {
#if defined(HPX_HAVE_THREAD_MANAGER_IDLE_BACKOFF)
        if (mode_.data_.load(std::memory_order_relaxed) &
            policies::scheduler_mode::enable_idle_backoff)
        {
            // Put this thread to sleep for some time, additionally it gets
            // woken up on new work.

            idle_backoff_data& data = wait_counts_[num_thread].data_;

            // Exponential back-off with a maximum sleep time.
            double exponent = (std::min)(double(data.wait_count_),
                double(std::numeric_limits<double>::max_exponent - 1));

            std::chrono::milliseconds period(std::lround((std::min)(
                data.max_idle_backoff_time_, std::pow(2.0, exponent))));

            ++data.wait_count_;

            std::unique_lock<pu_mutex_type> l(mtx_);
            if (cond_.wait_for(l, period) == std::cv_status::no_timeout)
            {
                // reset counter if thread was woken up
                data.wait_count_ = 0;
            }
        }
#else
        (void) num_thread;
#endif
    }

    /// This function gets called by the thread-manager whenever new work
    /// has been added, allowing the scheduler to reactivate one or more of
    /// possibly idling OS threads
    void scheduler_base::do_some_work(std::size_t)
    {
#if defined(HPX_HAVE_THREAD_MANAGER_IDLE_BACKOFF)
        if (mode_.data_.load(std::memory_order_relaxed) &
            policies::scheduler_mode::enable_idle_backoff)
        {
            cond_.notify_all();
        }
#endif
    }

    void scheduler_base::suspend(std::size_t num_thread)
    {
        HPX_ASSERT(num_thread < suspend_conds_.size());

        states_[num_thread].store(hpx::state::sleeping);
        std::unique_lock<pu_mutex_type> l(suspend_mtxs_[num_thread]);
        suspend_conds_[num_thread].wait(l);

        // Only set running if still in hpx::state::sleeping. Can be set with
        // non-blocking/locking functions to stopping or terminating, in which
        // case the state is left untouched.
        hpx::state expected = hpx::state::sleeping;
        states_[num_thread].compare_exchange_strong(
            expected, hpx::state::running);

        HPX_ASSERT(expected == hpx::state::sleeping ||
            expected == hpx::state::stopping ||
            expected == hpx::state::terminating);
    }

    void scheduler_base::resume(std::size_t num_thread)
    {
        if (num_thread == std::size_t(-1))
        {
            for (std::condition_variable& c : suspend_conds_)
            {
                c.notify_one();
            }
        }
        else
        {
            HPX_ASSERT(num_thread < suspend_conds_.size());
            suspend_conds_[num_thread].notify_one();
        }
    }

    std::size_t scheduler_base::select_active_pu(
        std::unique_lock<pu_mutex_type>& l, std::size_t num_thread,
        bool allow_fallback)
    {
        if (mode_.data_.load(std::memory_order_relaxed) &
            threads::policies::scheduler_mode::enable_elasticity)
        {
            std::size_t states_size = states_.size();

            if (!allow_fallback)
            {
                // Try indefinitely as long as at least one thread is
                // available for scheduling. Increase allowed state if no
                // threads are available for scheduling.
                auto max_allowed_state = hpx::state::suspended;

                hpx::util::yield_while([this, states_size, &l, &num_thread,
                                           &max_allowed_state]() {
                    std::size_t num_allowed_threads = 0;

                    for (std::size_t offset = 0; offset < states_size; ++offset)
                    {
                        std::size_t num_thread_local =
                            (num_thread + offset) % states_size;

                        l = std::unique_lock<pu_mutex_type>(
                            pu_mtxs_[num_thread_local], std::try_to_lock);

                        if (l.owns_lock())
                        {
                            if (states_[num_thread_local] <= max_allowed_state)
                            {
                                num_thread = num_thread_local;
                                return false;
                            }

                            l.unlock();
                        }

                        if (states_[num_thread_local] <= max_allowed_state)
                        {
                            ++num_allowed_threads;
                        }
                    }

                    if (0 == num_allowed_threads)
                    {
                        if (max_allowed_state <= hpx::state::suspended)
                        {
                            max_allowed_state = hpx::state::sleeping;
                        }
                        else if (max_allowed_state <= hpx::state::sleeping)
                        {
                            max_allowed_state = hpx::state::stopping;
                        }
                        else
                        {
                            // All threads are terminating or stopped.
                            // Just return num_thread to avoid infinite
                            // loop.
                            return false;
                        }
                    }

                    // Yield after trying all pus, then try again
                    return true;
                });

                return num_thread;
            }

            // Try all pus only once if fallback is allowed
            HPX_ASSERT(num_thread != std::size_t(-1));
            for (std::size_t offset = 0; offset < states_size; ++offset)
            {
                std::size_t num_thread_local =
                    (num_thread + offset) % states_size;

                l = std::unique_lock<pu_mutex_type>(
                    pu_mtxs_[num_thread_local], std::try_to_lock);

                if (l.owns_lock() &&
                    states_[num_thread_local] <= hpx::state::suspended)
                {
                    return num_thread_local;
                }
            }
        }

        return num_thread;
    }

    // allow to access/manipulate states
    std::atomic<hpx::state>& scheduler_base::get_state(std::size_t num_thread)
    {
        HPX_ASSERT(num_thread < states_.size());
        return states_[num_thread];
    }
    std::atomic<hpx::state> const& scheduler_base::get_state(
        std::size_t num_thread) const
    {
        HPX_ASSERT(num_thread < states_.size());
        return states_[num_thread];
    }

    void scheduler_base::set_all_states(hpx::state s)
    {
        typedef std::atomic<hpx::state> state_type;
        for (state_type& state : states_)
        {
            state.store(s);
        }
    }

    void scheduler_base::set_all_states_at_least(hpx::state s)
    {
        typedef std::atomic<hpx::state> state_type;
        for (state_type& state : states_)
        {
            if (state < s)
            {
                state.store(s);
            }
        }
    }

    // return whether all states are at least at the given one
    bool scheduler_base::has_reached_state(hpx::state s) const
    {
        typedef std::atomic<hpx::state> state_type;
        for (state_type const& state : states_)
        {
            if (state.load(std::memory_order_relaxed) < s)
                return false;
        }
        return true;
    }

    bool scheduler_base::is_state(hpx::state s) const
    {
        typedef std::atomic<hpx::state> state_type;
        for (state_type const& state : states_)
        {
            if (state.load(std::memory_order_relaxed) != s)
                return false;
        }
        return true;
    }

    std::pair<hpx::state, hpx::state> scheduler_base::get_minmax_state() const
    {
        std::pair<hpx::state, hpx::state> result(
            hpx::state::last_valid_runtime_state,
            hpx::state::first_valid_runtime_state);

        typedef std::atomic<hpx::state> state_type;
        for (state_type const& state_iter : states_)
        {
            hpx::state s = state_iter.load();
            result.first = (std::min)(result.first, s);
            result.second = (std::max)(result.second, s);
        }

        return result;
    }

    // get/set scheduler mode
    void scheduler_base::set_scheduler_mode(scheduler_mode mode)
    {
        // distribute the same value across all cores
        mode_.data_.store(mode, std::memory_order_release);
        do_some_work(std::size_t(-1));
    }

    void scheduler_base::add_scheduler_mode(scheduler_mode mode)
    {
        // distribute the same value across all cores
        mode = scheduler_mode(get_scheduler_mode() | mode);
        set_scheduler_mode(mode);
    }

    void scheduler_base::remove_scheduler_mode(scheduler_mode mode)
    {
        mode = scheduler_mode(get_scheduler_mode() & ~mode);
        set_scheduler_mode(mode);
    }

    void scheduler_base::add_remove_scheduler_mode(
        scheduler_mode to_add_mode, scheduler_mode to_remove_mode)
    {
        scheduler_mode mode = scheduler_mode(
            (get_scheduler_mode() | to_add_mode) & ~to_remove_mode);
        set_scheduler_mode(mode);
    }

    void scheduler_base::update_scheduler_mode(scheduler_mode mode, bool set)
    {
        if (set)
        {
            add_scheduler_mode(mode);
        }
        else
        {
            remove_scheduler_mode(mode);
        }
    }

    ///////////////////////////////////////////////////////////////////////////
    std::int64_t scheduler_base::get_background_thread_count()
    {
        return background_thread_count_;
    }

    void scheduler_base::increment_background_thread_count()
    {
        ++background_thread_count_;
    }

    void scheduler_base::decrement_background_thread_count()
    {
        --background_thread_count_;
    }

#if defined(HPX_HAVE_SCHEDULER_LOCAL_STORAGE)
    coroutines::detail::tss_data_node* scheduler_base::find_tss_data(
        void const* key)
    {
        if (!thread_data_)
            return nullptr;
        return thread_data_->find(key);
    }

    void scheduler_base::add_new_tss_node(void const* key,
        std::shared_ptr<coroutines::detail::tss_cleanup_function> const& func,
        void* tss_data)
    {
        if (!thread_data_)
        {
            thread_data_ = std::make_shared<coroutines::detail::tss_storage>();
        }
        thread_data_->insert(key, func, tss_data);
    }

    void scheduler_base::erase_tss_node(void const* key, bool cleanup_existing)
    {
        if (thread_data_)
            thread_data_->erase(key, cleanup_existing);
    }

    void* scheduler_base::get_tss_data(void const* key)
    {
        if (coroutines::detail::tss_data_node* const current_node =
                find_tss_data(key))
        {
            return current_node->get_value();
        }
        return nullptr;
    }

    void scheduler_base::set_tss_data(void const* key,
        std::shared_ptr<coroutines::detail::tss_cleanup_function> const& func,
        void* tss_data, bool cleanup_existing)
    {
        if (coroutines::detail::tss_data_node* const current_node =
                find_tss_data(key))
        {
            if (func || (tss_data != 0))
                current_node->reinit(func, tss_data, cleanup_existing);
            else
                erase_tss_node(key, cleanup_existing);
        }
        else if (func || (tss_data != 0))
        {
            add_new_tss_node(key, func, tss_data);
        }
    }
#endif

    std::ostream& operator<<(std::ostream& os, scheduler_base const& scheduler)
    {
        os << scheduler.get_description() << "(" << &scheduler << ")";

        return os;
    }
}}}    // namespace hpx::threads::policies

1	// Copyright (c) 2007-2019 Hartmut Kaiser
2	//
3	// SPDX-License-Identifier: BSL-1.0
4	// Distributed under the Boost Software License, Version 1.0. (See accompanying
5	// file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
6
7	#include <hpx/config.hpp>
8	#include <hpx/assert.hpp>
9	#include <hpx/execution_base/this_thread.hpp>
10	#include <hpx/threading_base/scheduler_base.hpp>
11	#include <hpx/threading_base/scheduler_mode.hpp>
12	#include <hpx/threading_base/scheduler_state.hpp>
13	#include <hpx/threading_base/thread_init_data.hpp>
14	#include <hpx/threading_base/thread_pool_base.hpp>
15	#if defined(HPX_HAVE_SCHEDULER_LOCAL_STORAGE)
16	#include <hpx/coroutines/detail/tss.hpp>
17	#endif
18
19	#include <algorithm>
20	#include <atomic>
21	#include <chrono>
22	#include <cmath>
23	#include <condition_variable>
24	#include <cstddef>
25	#include <cstdint>
26	#include <exception>
27	#include <limits>
28	#include <memory>
29	#include <mutex>
30	#include <ostream>
31	#include <set>
32	#include <string>
33	#include <utility>
34	#include <vector>
35
36	///////////////////////////////////////////////////////////////////////////////
37	namespace hpx { namespace threads { namespace policies {
38	scheduler_base::scheduler_base(std::size_t num_threads,	1,581✔
39	char const* description, thread_queue_init_parameters thread_queue_init,
40	scheduler_mode mode)
41	: suspend_mtxs_(num_threads)	1,581✔
42	, suspend_conds_(num_threads)	1,581✔
43	, pu_mtxs_(num_threads)	1,581✔
44	, states_(num_threads)	1,581✔
45	, description_(description)	1,581✔
46	, thread_queue_init_(thread_queue_init)	1,581✔
47	, parent_pool_(nullptr)	1,581✔
48	, background_thread_count_(0)	1,581✔
49	, polling_function_mpi_(&null_polling_function)	1,581✔
50	, polling_function_cuda_(&null_polling_function)	1,581✔
51	, polling_work_count_function_mpi_(&null_polling_work_count_function)	1,581✔
52	, polling_work_count_function_cuda_(&null_polling_work_count_function)	1,581✔
53	{	1,581✔
54	set_scheduler_mode(mode);	1,581✔
55
56	#if defined(HPX_HAVE_THREAD_MANAGER_IDLE_BACKOFF)
57	double max_time = thread_queue_init.max_idle_backoff_time_;	1,581✔
58
59	wait_counts_.resize(num_threads);	1,581✔
60	for (auto&& data : wait_counts_)	5,948✔
61	{
62	data.data_.wait_count_ = 0;	4,367✔
63	data.data_.max_idle_backoff_time_ = max_time;	4,367✔
64	}
65	#endif
66
67	for (std::size_t i = 0; i != num_threads; ++i)	5,948✔
68	states_[i].store(hpx::state::initialized);	4,367✔
69	}	1,581✔
70
71	void scheduler_base::idle_callback(std::size_t num_thread)	5,234✔
72	{
73	#if defined(HPX_HAVE_THREAD_MANAGER_IDLE_BACKOFF)
74	if (mode_.data_.load(std::memory_order_relaxed) &	5,110✔
75	policies::scheduler_mode::enable_idle_backoff)
76	{
77	// Put this thread to sleep for some time, additionally it gets
78	// woken up on new work.
79
80	idle_backoff_data& data = wait_counts_[num_thread].data_;	5,440✔
81
82	// Exponential back-off with a maximum sleep time.
83	double exponent = (std::min)(double(data.wait_count_),	10,220✔
84	double(std::numeric_limits<double>::max_exponent - 1));	5,440✔
85
86	std::chrono::milliseconds period(std::lround((std::min)(	5,440✔
87	data.max_idle_backoff_time_, std::pow(2.0, exponent))));	5,440✔
88
89	++data.wait_count_;	5,440✔
90
91	std::unique_lock<pu_mutex_type> l(mtx_);	5,440✔
92	if (cond_.wait_for(l, period) == std::cv_status::no_timeout)	5,110✔
93	{
94	// reset counter if thread was woken up
95	data.wait_count_ = 0;	2,812✔
96	}	2,812✔
97	}	5,439✔
98	#else
99	(void) num_thread;
100	#endif
101	}	5,429✔
102
103	/// This function gets called by the thread-manager whenever new work
104	/// has been added, allowing the scheduler to reactivate one or more of
105	/// possibly idling OS threads
106	void scheduler_base::do_some_work(std::size_t)	9,212,962✔
107	{
108	#if defined(HPX_HAVE_THREAD_MANAGER_IDLE_BACKOFF)
109	if (mode_.data_.load(std::memory_order_relaxed) &	9,212,931✔
110	policies::scheduler_mode::enable_idle_backoff)
111	{
112	cond_.notify_all();	9,210,617✔
113	}	9,210,617✔
114	#endif
115	}	9,212,917✔
116
117	void scheduler_base::suspend(std::size_t num_thread)	861✔
118	{
119	HPX_ASSERT(num_thread < suspend_conds_.size());	861✔
120
121	states_[num_thread].store(hpx::state::sleeping);	866✔
122	std::unique_lock<pu_mutex_type> l(suspend_mtxs_[num_thread]);	866✔
123	suspend_conds_[num_thread].wait(l);	866✔
124
125	// Only set running if still in hpx::state::sleeping. Can be set with
126	// non-blocking/locking functions to stopping or terminating, in which
127	// case the state is left untouched.
128	hpx::state expected = hpx::state::sleeping;	866✔
129	states_[num_thread].compare_exchange_strong(	866✔
130	expected, hpx::state::running);
131
132	HPX_ASSERT(expected == hpx::state::sleeping \|\|	861✔
133	expected == hpx::state::stopping \|\|
134	expected == hpx::state::terminating);
135	}	866✔
136
137	void scheduler_base::resume(std::size_t num_thread)	34,812✔
138	{
139	if (num_thread == std::size_t(-1))	34,812✔
140	{
141	for (std::condition_variable& c : suspend_conds_)	×
142	{
143	c.notify_one();	×
144	}
145	}	×
146	else
147	{
148	HPX_ASSERT(num_thread < suspend_conds_.size());	34,812✔
149	suspend_conds_[num_thread].notify_one();	34,812✔
150	}
151	}	34,812✔
152
153	std::size_t scheduler_base::select_active_pu(	9,700,974✔
154	std::unique_lock<pu_mutex_type>& l, std::size_t num_thread,
155	bool allow_fallback)
156	{
157	if (mode_.data_.load(std::memory_order_relaxed) &	9,700,578✔
158	threads::policies::scheduler_mode::enable_elasticity)
159	{
160	std::size_t states_size = states_.size();	79,692✔
161
162	if (!allow_fallback)	79,692✔
163	{
164	// Try indefinitely as long as at least one thread is
165	// available for scheduling. Increase allowed state if no
166	// threads are available for scheduling.
167	auto max_allowed_state = hpx::state::suspended;	66,722✔
168
169	hpx::util::yield_while([this, states_size, &l, &num_thread,	133,444✔
170	&max_allowed_state]() {
171	std::size_t num_allowed_threads = 0;	66,722✔
172
173	for (std::size_t offset = 0; offset < states_size; ++offset)	154,707✔
174	{
175	std::size_t num_thread_local =	154,707✔
176	(num_thread + offset) % states_size;	154,707✔
177
178	l = std::unique_lock<pu_mutex_type>(	154,707✔
179	pu_mtxs_[num_thread_local], std::try_to_lock);	154,707✔
180
181	if (l.owns_lock())	154,707✔
182	{
183	if (states_[num_thread_local] <= max_allowed_state)	154,707✔
184	{
185	num_thread = num_thread_local;	66,722✔
186	return false;	66,722✔
187	}
188
189	l.unlock();	87,985✔
190	}	87,985✔
191
192	if (states_[num_thread_local] <= max_allowed_state)	87,985✔
193	{
194	++num_allowed_threads;	×
195	}	×
196	}	87,985✔
197
198	if (0 == num_allowed_threads)	×
199	{
200	if (max_allowed_state <= hpx::state::suspended)	×
201	{
202	max_allowed_state = hpx::state::sleeping;	×
203	}	×
204	else if (max_allowed_state <= hpx::state::sleeping)	×
205	{
206	max_allowed_state = hpx::state::stopping;	×
207	}	×
208	else
209	{
210	// All threads are terminating or stopped.
211	// Just return num_thread to avoid infinite
212	// loop.
213	return false;	×
214	}
215	}	×
216
217	// Yield after trying all pus, then try again
218	return true;	×
219	});	66,722✔
220
221	return num_thread;	66,722✔
222	}
223
224	// Try all pus only once if fallback is allowed
225	HPX_ASSERT(num_thread != std::size_t(-1));	12,970✔
226	for (std::size_t offset = 0; offset < states_size; ++offset)	16,538✔
227	{
228	std::size_t num_thread_local =	16,538✔
229	(num_thread + offset) % states_size;	16,538✔
230
231	l = std::unique_lock<pu_mutex_type>(	16,538✔
232	pu_mtxs_[num_thread_local], std::try_to_lock);	16,538✔
233
234	if (l.owns_lock() &&	16,538✔
235	states_[num_thread_local] <= hpx::state::suspended)	16,316✔
236	{
237	return num_thread_local;	12,970✔
238	}
239	}	3,568✔
240	}	×
241
242	return num_thread;	9,620,838✔
243	}	9,700,536✔
244
245	// allow to access/manipulate states
246	std::atomic<hpx::state>& scheduler_base::get_state(std::size_t num_thread)	1,295,748✔
247	{
248	HPX_ASSERT(num_thread < states_.size());	1,295,748✔
249	return states_[num_thread];	1,295,753✔
250	}
251	std::atomic<hpx::state> const& scheduler_base::get_state(	×
252	std::size_t num_thread) const
253	{
254	HPX_ASSERT(num_thread < states_.size());	×
255	return states_[num_thread];	×
256	}
257
258	void scheduler_base::set_all_states(hpx::state s)	1,580✔
259	{
260	typedef std::atomic<hpx::state> state_type;
261	for (state_type& state : states_)	5,943✔
262	{
263	state.store(s);	4,363✔
264	}
265	}	1,580✔
266
267	void scheduler_base::set_all_states_at_least(hpx::state s)	3,157✔
268	{
269	typedef std::atomic<hpx::state> state_type;
270	for (state_type& state : states_)	11,883✔
271	{
272	if (state < s)	8,726✔
273	{
274	state.store(s);	4,365✔
275	}	4,365✔
276	}
277	}	3,157✔
278
279	// return whether all states are at least at the given one
280	bool scheduler_base::has_reached_state(hpx::state s) const	3,161✔
281	{
282	typedef std::atomic<hpx::state> state_type;
283	for (state_type const& state : states_)	3,161✔
284	{
285	if (state.load(std::memory_order_relaxed) < s)	3,161✔
286	return false;	3,161✔
287	}
288	return true;	×
289	}	3,161✔
290
291	bool scheduler_base::is_state(hpx::state s) const	×
292	{
293	typedef std::atomic<hpx::state> state_type;
294	for (state_type const& state : states_)	×
295	{
296	if (state.load(std::memory_order_relaxed) != s)	×
297	return false;	×
298	}
299	return true;	×
300	}	×
301
302	std::pair<hpx::state, hpx::state> scheduler_base::get_minmax_state() const	1,269,991✔
303	{
304	std::pair<hpx::state, hpx::state> result(	1,269,999✔
305	hpx::state::last_valid_runtime_state,	1,269,999✔
306	hpx::state::first_valid_runtime_state);	1,269,999✔
307
308	typedef std::atomic<hpx::state> state_type;
309	for (state_type const& state_iter : states_)	5,295,666✔
310	{
311	hpx::state s = state_iter.load();	4,025,728✔
312	result.first = (std::min)(result.first, s);	4,025,728✔
313	result.second = (std::max)(result.second, s);	4,025,728✔
314	}
315
316	return result;	1,269,923✔
317	}
318
319	// get/set scheduler mode
320	void scheduler_base::set_scheduler_mode(scheduler_mode mode)	4,798✔
321	{
322	// distribute the same value across all cores
323	mode_.data_.store(mode, std::memory_order_release);	4,798✔
324	do_some_work(std::size_t(-1));	4,798✔
325	}	4,798✔
326
327	void scheduler_base::add_scheduler_mode(scheduler_mode mode)	1,573✔
328	{
329	// distribute the same value across all cores
330	mode = scheduler_mode(get_scheduler_mode() \| mode);	1,573✔
331	set_scheduler_mode(mode);	1,573✔
332	}	1,573✔
333
334	void scheduler_base::remove_scheduler_mode(scheduler_mode mode)	59✔
335	{
336	mode = scheduler_mode(get_scheduler_mode() & ~mode);	59✔
337	set_scheduler_mode(mode);	59✔
338	}	59✔
339
340	void scheduler_base::add_remove_scheduler_mode(	×
341	scheduler_mode to_add_mode, scheduler_mode to_remove_mode)
342	{
343	scheduler_mode mode = scheduler_mode(	×
344	(get_scheduler_mode() \| to_add_mode) & ~to_remove_mode);	×
345	set_scheduler_mode(mode);	×
346	}	×
347
348	void scheduler_base::update_scheduler_mode(scheduler_mode mode, bool set)	1,574✔
349	{
350	if (set)	1,574✔
351	{
352	add_scheduler_mode(mode);	1,572✔
353	}	1,572✔
354	else
355	{
356	remove_scheduler_mode(mode);	2✔
357	}
358	}	1,574✔
359
360	///////////////////////////////////////////////////////////////////////////
361	std::int64_t scheduler_base::get_background_thread_count()	1,676,768✔
362	{
363	return background_thread_count_;	1,676,768✔
364	}
365
366	void scheduler_base::increment_background_thread_count()	599✔
367	{
368	++background_thread_count_;	599✔
369	}	599✔
370
371	void scheduler_base::decrement_background_thread_count()	594✔
372	{
373	--background_thread_count_;	594✔
374	}	594✔
375
376	#if defined(HPX_HAVE_SCHEDULER_LOCAL_STORAGE)
377	coroutines::detail::tss_data_node* scheduler_base::find_tss_data(
378	void const* key)
379	{
380	if (!thread_data_)
381	return nullptr;
382	return thread_data_->find(key);
383	}
384
385	void scheduler_base::add_new_tss_node(void const* key,
386	std::shared_ptr<coroutines::detail::tss_cleanup_function> const& func,
387	void* tss_data)
388	{
389	if (!thread_data_)
390	{
391	thread_data_ = std::make_shared<coroutines::detail::tss_storage>();
392	}
393	thread_data_->insert(key, func, tss_data);
394	}
395
396	void scheduler_base::erase_tss_node(void const* key, bool cleanup_existing)
397	{
398	if (thread_data_)
399	thread_data_->erase(key, cleanup_existing);
400	}
401
402	void* scheduler_base::get_tss_data(void const* key)
403	{
404	if (coroutines::detail::tss_data_node* const current_node =
405	find_tss_data(key))
406	{
407	return current_node->get_value();
408	}
409	return nullptr;
410	}
411
412	void scheduler_base::set_tss_data(void const* key,
413	std::shared_ptr<coroutines::detail::tss_cleanup_function> const& func,
414	void* tss_data, bool cleanup_existing)
415	{
416	if (coroutines::detail::tss_data_node* const current_node =
417	find_tss_data(key))
418	{
419	if (func \|\| (tss_data != 0))
420	current_node->reinit(func, tss_data, cleanup_existing);
421	else
422	erase_tss_node(key, cleanup_existing);
423	}
424	else if (func \|\| (tss_data != 0))
425	{
426	add_new_tss_node(key, func, tss_data);
427	}
428	}
429	#endif
430
431	std::ostream& operator<<(std::ostream& os, scheduler_base const& scheduler)	31,793,062✔
432	{
433	os << scheduler.get_description() << "(" << &scheduler << ")";	31,793,625✔
434
435	return os;	31,793,625✔
436	}
437	}}} // namespace hpx::threads::policies

STEllAR-GROUP / hpx / #852

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