#include #include /** Custom memcpy implementation for ClickHouse. * It has the following benefits over using glibc's implementation: * 1. Avoiding dependency on specific version of glibc's symbol, like memcpy@@GLIBC_2.14 for portability. * 2. Avoiding indirect call via PLT due to shared linking, that can be less efficient. * 3. It's possible to include this header and call inline_memcpy directly for better inlining or interprocedural analysis. * 4. Better results on our performance tests on current CPUs: up to 25% on some queries and up to 0.7%..1% in average across all queries. * * Writing our own memcpy is extremely difficult for the following reasons: * 1. The optimal variant depends on the specific CPU model. * 2. The optimal variant depends on the distribution of size arguments. * 3. It depends on the number of threads copying data concurrently. * 4. It also depends on how the calling code is using the copied data and how the different memcpy calls are related to each other. * Due to vast range of scenarios it makes proper testing especially difficult. * When writing our own memcpy there is a risk to overoptimize it * on non-representative microbenchmarks while making real-world use cases actually worse. * * Most of the benchmarks for memcpy on the internet are wrong. * * Let's look at the details: * * For small size, the order of branches in code is important. * There are variants with specific order of branches (like here or in glibc) * or with jump table (in asm code see example from Cosmopolitan libc: * https://github.com/jart/cosmopolitan/blob/de09bec215675e9b0beb722df89c6f794da74f3f/libc/nexgen32e/memcpy.S#L61) * or with Duff device in C (see https://github.com/skywind3000/FastMemcpy/) * * It's also important how to copy uneven sizes. * Almost every implementation, including this, is using two overlapping movs. * * It is important to disable -ftree-loop-distribute-patterns when compiling memcpy implementation, * otherwise the compiler can replace internal loops to a call to memcpy that will lead to infinite recursion. * * For larger sizes it's important to choose the instructions used: * - SSE or AVX or AVX-512; * - rep movsb; * Performance will depend on the size threshold, on the CPU model, on the "erms" flag * ("Enhansed Rep MovS" - it indicates that performance of "rep movsb" is decent for large sizes) * * Using AVX-512 can be bad due to throttling. * Using AVX can be bad if most code is using SSE due to switching penalty * (it also depends on the usage of "vzeroupper" instruction). * But in some cases AVX gives a win. * * It also depends on how many times the loop will be unrolled. * We are unrolling the loop 8 times (by the number of available registers), but it not always the best. * * It also depends on the usage of aligned or unaligned loads/stores. * We are using unaligned loads and aligned stores. * * It also depends on the usage of prefetch instructions. It makes sense on some Intel CPUs but can slow down performance on AMD. * Setting up correct offset for prefetching is non-obvious. * * Non-temporary (cache bypassing) stores can be used for very large sizes (more than a half of L3 cache). * But the exact threshold is unclear - when doing memcpy from multiple threads the optimal threshold can be lower, * because L3 cache is shared (and L2 cache is partially shared). * * Very large size of memcpy typically indicates suboptimal (not cache friendly) algorithms in code or unrealistic scenarios, * so we don't pay attention to it. * * On recent Intel CPUs, the presense of "erms" makes "rep movsb" the most benefitial, * even comparing to non-temporary aligned unrolled stores even with the most wide registers. * * memcpy can be written in asm, C or C++. The latter can also use inline asm. * The asm implementation can be better to make sure that compiler won't make the code worse, * to ensure the order of branches, the code layout, the usage of all required registers. * But if it is located in separate translation unit, inlining will not be possible * (inline asm can be used to overcome this limitation). * Sometimes C or C++ code can be further optimized by compiler. * For example, clang is capable replacing SSE intrinsics to AVX code if -mavx is used. * * Please note that compiler can replace plain code to memcpy and vice versa. * - memcpy with compile-time known small size is replaced to simple instructions without a call to memcpy; * it is controlled by -fbuiltin-memcpy and can be manually ensured by calling __builtin_memcpy. * This is often used to implement unaligned load/store without undefined behaviour in C++. * - a loop with copying bytes can be recognized and replaced by a call to memcpy; * it is controlled by -ftree-loop-distribute-patterns. * - also note that a loop with copying bytes can be unrolled, peeled and vectorized that will give you * inline code somewhat similar to a decent implementation of memcpy. * * This description is up to date as of Mar 2021. * * How to test the memcpy implementation for performance: * 1. Test on real production workload. * 2. For synthetic test, see utils/memcpy-bench, but make sure you will do the best to exhaust the wide range of scenarios. */ static inline void * inline_memcpy(void * __restrict dst_, const void * __restrict src_, size_t size) { /// We will use pointer arithmetic, so char pointer will be used. /// Note that __restrict makes sense (otherwise compiler will reload data from memory /// instead of using the value of registers due to possible aliasing). char * __restrict dst = reinterpret_cast(dst_); const char * __restrict src = reinterpret_cast(src_); /// Standard memcpy returns the original value of dst. It is rarely used but we have to do it. /// If you use memcpy with small but non-constant sizes, you can call inline_memcpy directly /// for inlining and removing this single instruction. void * ret = dst; tail: /// Small sizes and tails after the loop for large sizes. /// The order of branches is important but in fact the optimal order depends on the distribution of sizes in your application. /// This order of branches is from the disassembly of glibc's code. /// We copy chunks of possibly uneven size with two overlapping movs. /// Example: to copy 5 bytes [0, 1, 2, 3, 4] we will copy tail [1, 2, 3, 4] first and then head [0, 1, 2, 3]. if (size <= 16) { if (size >= 8) { /// Chunks of 8..16 bytes. __builtin_memcpy(dst + size - 8, src + size - 8, 8); __builtin_memcpy(dst, src, 8); } else if (size >= 4) { /// Chunks of 4..7 bytes. __builtin_memcpy(dst + size - 4, src + size - 4, 4); __builtin_memcpy(dst, src, 4); } else if (size >= 2) { /// Chunks of 2..3 bytes. __builtin_memcpy(dst + size - 2, src + size - 2, 2); __builtin_memcpy(dst, src, 2); } else if (size >= 1) { /// A single byte. *dst = *src; } /// Zero bytes. } else { /// Medium and large sizes. if (size <= 128) { /// Medium size, not enough for full loop unrolling. /// We will copy the last 16 bytes. _mm_storeu_si128(reinterpret_cast<__m128i *>(dst + size - 16), _mm_loadu_si128(reinterpret_cast(src + size - 16))); /// Then we will copy every 16 bytes from the beginning in a loop. /// The last loop iteration will possibly overwrite some part of already copied last 16 bytes. /// This is Ok, similar to the code for small sizes above. while (size > 16) { _mm_storeu_si128(reinterpret_cast<__m128i *>(dst), _mm_loadu_si128(reinterpret_cast(src))); dst += 16; src += 16; size -= 16; } } else { /// Large size with fully unrolled loop. /// Align destination to 16 bytes boundary. size_t padding = (16 - (reinterpret_cast(dst) & 15)) & 15; /// If not aligned - we will copy first 16 bytes with unaligned stores. if (padding > 0) { __m128i head = _mm_loadu_si128(reinterpret_cast(src)); _mm_storeu_si128(reinterpret_cast<__m128i*>(dst), head); dst += padding; src += padding; size -= padding; } /// Aligned unrolled copy. We will use all available SSE registers. /// It's not possible to have both src and dst aligned. /// So, we will use aligned stores and unaligned loads. __m128i c0, c1, c2, c3, c4, c5, c6, c7; while (size >= 128) { c0 = _mm_loadu_si128(reinterpret_cast(src) + 0); c1 = _mm_loadu_si128(reinterpret_cast(src) + 1); c2 = _mm_loadu_si128(reinterpret_cast(src) + 2); c3 = _mm_loadu_si128(reinterpret_cast(src) + 3); c4 = _mm_loadu_si128(reinterpret_cast(src) + 4); c5 = _mm_loadu_si128(reinterpret_cast(src) + 5); c6 = _mm_loadu_si128(reinterpret_cast(src) + 6); c7 = _mm_loadu_si128(reinterpret_cast(src) + 7); src += 128; _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 0), c0); _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 1), c1); _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 2), c2); _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 3), c3); _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 4), c4); _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 5), c5); _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 6), c6); _mm_store_si128((reinterpret_cast<__m128i*>(dst) + 7), c7); dst += 128; size -= 128; } /// The latest remaining 0..127 bytes will be processed as usual. goto tail; } } return ret; }