/* This file is part of rippled: https://github.com/ripple/rippled Copyright 2022, Nikolaos D. Bougalis Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL , DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. */ #ifndef RIPPLE_BASICS_SPINLOCK_H_INCLUDED #define RIPPLE_BASICS_SPINLOCK_H_INCLUDED #include #include #include #include #ifndef __aarch64__ #include #endif namespace ripple { namespace detail { /** Inform the processor that we are in a tight spin-wait loop. Spinlocks caught in tight loops can result in the processor's pipeline filling up with comparison operations, resulting in a misprediction at the time the lock is finally acquired, necessitating pipeline flushing which is ridiculously expensive and results in very high latency. This function instructs the processor to "pause" for some architecture specific amount of time, to prevent this. */ inline void spin_pause() noexcept { #ifdef __aarch64__ asm volatile("yield"); #else _mm_pause(); #endif } } // namespace detail /** @{ */ /** Classes to handle arrays of spinlocks packed into a single atomic integer: Packed spinlocks allow for tremendously space-efficient lock-sharding but they come at a cost. First, the implementation is necessarily low-level and uses advanced features like memory ordering and highly platform-specific tricks to maximize performance. This imposes a significant and ongoing cost to developers. Second, and perhaps most important, is that the packing of multiple locks into a single integer which, albeit space-efficient, also has performance implications stemming from data dependencies, increased cache-coherency traffic between processors and heavier loads on the processor's load/store units. To be sure, these locks can have advantages but they are definitely not general purpose locks and should not be thought of or used that way. The use cases for them are likely few and far between; without a compelling reason to use them, backed by profiling data, it might be best to use one of the standard locking primitives instead. Note that in most common platforms, `std::mutex` is so heavily optimized that it can, usually, outperform spinlocks. @tparam T An unsigned integral type (e.g. std::uint16_t) */ /** A class that grabs a single packed spinlock from an atomic integer. This class meets the requirements of Lockable: https://en.cppreference.com/w/cpp/named_req/Lockable */ template class packed_spinlock { // clang-format off static_assert(std::is_unsigned_v); static_assert(std::atomic::is_always_lock_free); static_assert( std::is_same_v&>().fetch_or(0)), T> && std::is_same_v&>().fetch_and(0)), T>, "std::atomic::fetch_and(T) and std::atomic::fetch_and(T) are required by packed_spinlock"); // clang-format on private: std::atomic& bits_; T const mask_; public: packed_spinlock(packed_spinlock const&) = delete; packed_spinlock& operator=(packed_spinlock const&) = delete; /** A single spinlock packed inside the specified atomic @param lock The atomic integer inside which the spinlock is packed. @param index The index of the spinlock this object acquires. @note For performance reasons, you should strive to have `lock` be on a cacheline by itself. */ packed_spinlock(std::atomic& lock, int index) : bits_(lock), mask_(static_cast(1) << index) { XRPL_ASSERT( index >= 0 && (mask_ != 0), "ripple::packed_spinlock::packed_spinlock : valid index and mask"); } [[nodiscard]] bool try_lock() { return (bits_.fetch_or(mask_, std::memory_order_acquire) & mask_) == 0; } void lock() { while (!try_lock()) { // The use of relaxed memory ordering here is intentional and // serves to help reduce cache coherency traffic during times // of contention by avoiding writes that would definitely not // result in the lock being acquired. while ((bits_.load(std::memory_order_relaxed) & mask_) != 0) detail::spin_pause(); } } void unlock() { bits_.fetch_and(~mask_, std::memory_order_release); } }; /** A spinlock implemented on top of an atomic integer. @note Using `packed_spinlock` and `spinlock` against the same underlying atomic integer can result in `spinlock` not being able to actually acquire the lock during periods of high contention, because of how the two locks operate: `spinlock` will spin trying to grab all the bits at once, whereas any given `packed_spinlock` will only try to grab one bit at a time. Caveat emptor. This class meets the requirements of Lockable: https://en.cppreference.com/w/cpp/named_req/Lockable */ template class spinlock { static_assert(std::is_unsigned_v); static_assert(std::atomic::is_always_lock_free); private: std::atomic& lock_; public: spinlock(spinlock const&) = delete; spinlock& operator=(spinlock const&) = delete; /** Grabs the @param lock The atomic integer to spin against. @note For performance reasons, you should strive to have `lock` be on a cacheline by itself. */ spinlock(std::atomic& lock) : lock_(lock) { } [[nodiscard]] bool try_lock() { T expected = 0; return lock_.compare_exchange_weak( expected, std::numeric_limits::max(), std::memory_order_acquire, std::memory_order_relaxed); } void lock() { while (!try_lock()) { // The use of relaxed memory ordering here is intentional and // serves to help reduce cache coherency traffic during times // of contention by avoiding writes that would definitely not // result in the lock being acquired. while (lock_.load(std::memory_order_relaxed) != 0) detail::spin_pause(); } } void unlock() { lock_.store(0, std::memory_order_release); } }; /** @} */ } // namespace ripple #endif