// Copyright Oliver Kowalke 2016. // 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) #ifndef BOOST_FIBERS_SPINLOCK_TTAS_H #define BOOST_FIBERS_SPINLOCK_TTAS_H #include #include #include #include #include #include // based on informations from: // https://software.intel.com/en-us/articles/benefitting-power-and-performance-sleep-loops // https://software.intel.com/en-us/articles/long-duration-spin-wait-loops-on-hyper-threading-technology-enabled-intel-processors namespace boost { namespace fibers { namespace detail { class spinlock_ttas { private: enum class spinlock_status { locked = 0, unlocked }; // align shared variable 'state_' at cache line to prevent false sharing alignas(cache_alignment) std::atomic< spinlock_status > state_{ spinlock_status::unlocked }; // padding to avoid other data one the cacheline of shared variable 'state_' char pad[cacheline_length]; public: spinlock_ttas() noexcept = default; spinlock_ttas( spinlock_ttas const&) = delete; spinlock_ttas & operator=( spinlock_ttas const&) = delete; void lock() noexcept { std::size_t collisions = 0 ; for (;;) { // avoid using multiple pause instructions for a delay of a specific cycle count // the delay of cpu_relax() (pause on Intel) depends on the processor family // the cycle count can not guaranteed from one system to the next // -> check the shared variable 'state_' in between each cpu_relax() to prevent // unnecessarily long delays on some systems std::size_t tests = 0; // test shared variable 'status_' // first access to 'state_' -> chache miss // sucessive acccess to 'state_' -> cache hit // if 'state_' was released by other fiber // cached 'state_' is invalidated -> cache miss while ( spinlock_status::locked == state_.load( std::memory_order_relaxed) ) { #if !defined(BOOST_FIBERS_SPIN_SINGLE_CORE) if ( BOOST_FIBERS_SPIN_MAX_TESTS > tests) { ++tests; // give CPU a hint that this thread is in a "spin-wait" loop // delays the next instruction's execution for a finite period of time (depends on processor family) // the CPU is not under demand, parts of the pipeline are no longer being used // -> reduces the power consumed by the CPU cpu_relax(); } else if ( BOOST_FIBERS_SPIN_MAX_TESTS + 20 > tests) { ++tests; // std::this_thread::sleep_for( 0us) has a fairly long instruction path length, // combined with an expensive ring3 to ring 0 transition costing about 1000 cycles // std::this_thread::sleep_for( 0us) lets give up this_thread the remaining part of its time slice // if and only if a thread of equal or greater priority is ready to run static constexpr std::chrono::microseconds us0{ 0 }; std::this_thread::sleep_for( us0); } else { // std::this_thread::yield() allows this_thread to give up the remaining part of its time slice, // but only to another thread on the same processor // instead of constant checking, a thread only checks if no other useful work is pending std::this_thread::yield(); } #else std::this_thread::yield(); #endif } // test-and-set shared variable 'status_' // everytime 'status_' is signaled over the bus, even if the test failes if ( spinlock_status::locked == state_.exchange( spinlock_status::locked, std::memory_order_acquire) ) { // spinlock now contended // utilize 'Binary Exponential Backoff' algorithm // linear_congruential_engine is a random number engine based on Linear congruential generator (LCG) static thread_local std::minstd_rand generator; const std::size_t z = std::uniform_int_distribution< std::size_t >{ 0, static_cast< std::size_t >( 1) << collisions }( generator); ++collisions; for ( std::size_t i = 0; i < z; ++i) { cpu_relax(); } } else { // success, thread has acquired the lock break; } } } void unlock() noexcept { state_.store( spinlock_status::unlocked, std::memory_order_release); } }; }}} #endif // BOOST_FIBERS_SPINLOCK_TTAS_H