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1 \u4eba\u6708\u3002\u4e1a\u52a13\uff08\u89c4\u6a213M\uff09\u4e8c\u65b9\/\u4e09\u65b9\u4f9d\u8d56 100+\uff0c\u591a\u4e3a\u4e8c\u8fdb\u5236\u4f9d\u8d56\u3002\u4e8c\u8fdb\u5236\u4f9d\u8d56\u3001ABI \u517c\u5bb9\u95ee\u9898 \u2013 \u9884\u4f30 2 \u4eba\u5e74\u3002\u00a0\u5728\u5207\u6362\u5de5\u5177\u94fe\u4e4b\u540e\uff0c\u7528\u6237\u4eec\u80fd\u5f97\u5230\u4ec0\u4e48\u5462\uff1f\u66f4\u77ed\u7684\u7f16\u8bd1\u65f6\u95f4\u66f4\u597d\u7684\u8fd0\u884c\u65f6\u6027\u80fd\u66f4\u597d\u7684\u7f16\u8bd1\u3001\u9759\u6001\u3001\u8fd0\u884c\u65f6\u68c0\u67e5\u66f4\u591a\u4f18\u5316\u6280\u672f \u2013 ThinLTO\u3001AutoFDO\u3001Bolt \u7b49\u66f4\u65b0\u7684\u8bed\u8a00\u7279\u6027\u652f\u6301 \u2013 C++20 \u534f\u7a0b\u3001C++20 Module \u7b49\u6301\u7eed\u6027\u66f4\u65b0\u5347\u7ea7 \u2013 \u826f\u6027\u5faa\u73af\u00a0\u5176\u4e2d\u66f4\u77ed\u7684\u7f16\u8bd1\u65f6\u95f4\u672c\u8eab\u5c31\u662f clang \u7684\u4e00\u4e2a\u7279\u6027\uff0c\u4ece gcc \u5207\u6362\u5230 clang 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\"\u56fe\u7247\"
\u7f16\u8bd1\u5668\u5728\u7f16\u8bd1 .c \u6587\u4ef6\u65f6\uff0c\u53ea\u80fd\u901a\u8fc7 <\/em>.c \u53ca\u5176\u5305\u542b\u7684\u6587\u4ef6\u4e2d\u7684\u4fe1\u606f\u505a\u4f18\u5316\u3002\u00a0LTO \uff08Linking Time Optimization\uff09\u6280\u672f\u662f\u5728\u94fe\u63a5\u65f6\u4f7f\u7528\u7a0b\u5e8f\u4e2d\u6240\u6709\u4fe1\u606f\u8fdb\u884c\u4f18\u5316\u7684\u6280\u672f\u3002\u4f46 LTO \u4f1a\u5c06\u6240\u6709 *.o \u6587\u4ef6\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\uff0c\u6d88\u8017\u975e\u5e38\u591a\u7684\u8d44\u6e90\u3002\u540c\u65f6 LTO \u4e32\u884c\u5316\u90e8\u5206\u6bd4\u8f83\u591a\u3002\u7f16\u8bd1\u65f6\u95f4\u5f88\u957f\u3002\u843d\u5730\u5bf9\u73af\u5883\u3001\u6280\u672f\u8981\u6c42\u6bd4\u8f83\u9ad8\uff0c\u76ee\u524d\u53ea\u5728 suse \u7b49\u4f20\u7edf Linux \u5382\u5546\u4e2d\u5f97\u5230\u5e94\u7528\u3002\u00a0\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0cLLVM \u5b9e\u73b0\u4e86 ThinLTO \u4ee5\u964d\u4f4e LTO \u7684\u5f00\u9500\u3002\u00a0GCC WHOPR \u7684\u6574\u4f53\u67b6\u6784\u5982\u56fe\u6240\u793a\u3002\u601d\u8def\u662f\u5728\u7f16\u8bd1\u9636\u6bb5\u4e3a\u6bcf\u4e2a\u7f16\u8bd1\u5355\u5143\u751f\u6210 Summary \u4fe1\u606f\uff0c\u4e4b\u540e\u518d\u6839\u636e Summary \u4fe1\u606f\u5bf9\u6bcf\u4e2a\u7f16\u8bd1\u5355\u5143\u8fdb\u884c\u4f18\u5316\u3002
\"\u56fe\u7247\"
ThinLTO \u6280\u672f\u7684\u6574\u4f53\u67b6\u6784\u5982\u4e0a\u56fe\u6240\u793a\u3002\u90fd\u662f\u5728\u7f16\u8bd1\u9636\u6bb5\u4e3a\u6bcf\u4e2a .o \u6587\u4ef6\u751f\u6210 Summary \u4fe1\u606f\uff0c\u4e4b\u540e\u5728 thin link \u9636\u6bb5\u6839\u636e Summary \u4fe1\u606f\u5bf9\u6bcf\u4e2a <\/em>.o \u6587\u4ef6\u8fdb\u884c\u4f18\u5316\u3002
\"\u56fe\u7247\"
\uff08\u56fe\/LLVM ThinLTO \u4e0e GCCLTO \u5728 SPEC cpu 2006 \u4e0a\u7684\u6027\u80fd\u6bd4\u8f83\uff09\u00a0\u4f7f\u7528 GCC LTO \u7684\u539f\u56e0\u662f GCC \u7684 LTO \u5b9e\u73b0\u76f8\u5bf9\u6bd4\u8f83\u6210\u719f\u3002\u00a0\u4ece\u56fe\u4e0a\u53ef\u4ee5\u770b\u51fa\uff0c\u5728\u6027\u80fd\u6536\u76ca\u4e0a ThinLTO \u4e0e \u00a0LTO \u7684\u5dee\u8ddd\u5e76\u4e0d\u5927\u3002\u800c ThinLTO \u4e0e LTO \u76f8\u6bd4\u6700\u5927\u7684\u4f18\u52bf\u662f\u5360\u7528\u7684\u8d44\u6e90\u6781\u5c0f\uff1a
\"\u56fe\u7247\"
\u5982\u56fe\u4e3a\u4f7f\u7528 LLVM ThinLTO\u3001LLVM LTO \u4ee5\u53ca GCC LTO \u94fe\u63a5 Chromium \u65f6\u7684\u5185\u5b58\u6d88\u8017\u8d70\u52bf\u56fe\u3002
\"\u56fe\u7247\"
\u6240\u4ee5\u4f7f\u7528 ThinLTO \u53ef\u4ee5\u4f7f\u6211\u4eec\u7684\u4e1a\u52a1\u5728\u65e5\u5e38\u5f00\u53d1\u4e2d\u4ee5\u5f88\u5c0f\u7684\u4ee3\u4ef7\u62ff\u5230\u5f88\u5927\u7684\u63d0\u5347\u3002\u540c\u65f6\u5f00\u542f ThinLTO \u7684\u96be\u5ea6\u5f88\u4f4e\uff0c\u57fa\u672c\u53ea\u8981\u53ef\u4ee5\u542f\u7528 clang \u5c31\u53ef\u4ee5\u4f7f\u80fd ThinLTO\u3002\u5728\u6211\u4eec\u7684\u5b9e\u8df5\u4e2d\uff0c\u4e00\u822c\u5f00\u542f ThinLTO \u53ef\u4ee5\u62ff\u5230 10% \u7684\u6027\u80fd\u63d0\u5347\u3002\u00a0AutoFDOAutoFDO \u662f\u4e00\u4e2a\u7b80\u5316 FDO \u7684\u4f7f\u7528\u8fc7\u7a0b\u7684\u7cfb\u7edf\u3002AutoFDO \u4f1a\u4ece\u751f\u4ea7\u73af\u5883\u6536\u96c6\u53cd\u9988\u4fe1\u606f\uff08perf \u6570\u636e\uff09\uff0c\u7136\u540e\u5c06\u5176\u5e94\u7528\u5728\u7f16\u8bd1\u65f6\u3002\u53cd\u9988\u4fe1\u606f\u662f\u5728\u751f\u4ea7\u73af\u5883\u7684\u673a\u5668\u4e0a\u4f7f\u7528 perf \u5de5\u5177\u5bf9\u76f8\u5e94\u786c\u4ef6\u4e8b\u4ef6\u8fdb\u884c\u91c7\u6837\u5f97\u5230\u7684\u3002\u603b\u4f53\u6765\u8bf4\uff0c\u4e00\u6b21\u5b8c\u6574\u7684 AutoFDO \u8fc7\u7a0b\u5982\u4e0b\u56fe\u53ef\u5206\u4e3a 4 \u6b65\uff1a
\"\u56fe\u7247\"
\u5c06\u7f16\u8bd1\u597d\u7684 binary \u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u6216\u8005\u6d4b\u8bd5\u73af\u5883\uff0c \u5728\u6b63\u5e38\u5de5\u4f5c\u7684\u60c5\u51b5\u4e0b\u4f7f\u7528 perf \u5bf9\u5f53\u524d\u8fdb\u7a0b\u505a\u5468\u671f\u6027\u7684\u91c7\u96c6\u3002\u5c06 perf \u6570\u636e\u8f6c\u5316\u6210 llvm \u53ef\u4ee5\u8bc6\u522b\u7684\u683c\u5f0f\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u5230\u6570\u636e\u5e93\u4e2d\u3002\u5f53\u7528\u6237\u518d\u6b21\u7f16\u8bd1\u7684\u65f6\u5019\uff0c\u6570\u636e\u5e93\u4f1a\u5c06\u4eb2\u8fd1\u6027\u6700\u5f3a\u7684profile\u6587\u4ef6\u8fd4\u56de\u7ed9\u7f16\u8bd1\u5668\u5e76\u53c2\u4e0e\u5230\u5f53\u524d\u6784\u5efa\u4e2d\u3002\u5c06\u7f16\u8bd1\u597d\u7684\u4e8c\u8fdb\u5236\u8fdb\u884c\u5f52\u6863\u548c\u53d1\u5e03\u3002\u00a0\u5bf9\u4e8e\u4e1a\u52a1\u800c\u8a00\uff0cAutoFDO \u7684\u63a5\u5165\u6709\u540c\u6b65\u548c\u5f02\u6b65\u4e24\u79cd\u63a5\u5165\u65b9\u5f0f\uff1a\u00a0\u540c\u6b65\u63a5\u5165\uff1a\u9996\u5148\u7f16\u8bd1\u4e00\u4e2a AutoFDO \u4e0d\u53c2\u4e0e\u7684\u4e8c\u8fdb\u5236\u7248\u672c\u3002\u5728 benchmark \u73af\u5883\u4e0b\u8fd0\u884c\u5f53\u524d\u4e8c\u8fdb\u5236\u5e76\u4f7f\u7528perf\u91c7\u96c6\u6570\u636e\u3002\u4f7f\u7528 AutoFDO \u518d\u6b21\u6784\u5efa\u4e00\u4e2a\u4e8c\u8fdb\u5236\u7248\u672c\uff0c\u6b64\u4e8c\u8fdb\u5236\u4e3a\u6700\u7ec8\u53d1\u5e03\u7248\u672c\u3002\u00a0\u5f02\u6b65\u63a5\u5165\uff1a\u5728\u5ba2\u6237\u7ebf\u4e0a\u673a\u5668\u8fdb\u884c\u5468\u671f\u6027\u91c7\u96c6\uff0c\u5c06\u91c7\u96c6\u6570\u636e\u8fdb\u884c\u5408\u5e76\u548c\u4fdd\u5b58\u3002\u6784\u5efa\u65b0\u7248\u672c\u7684\u65f6\u5019\u5c06\u5bf9\u5e94\u7684\u6570\u636e\u6587\u4ef6\u4e0b\u8f7d\uff0c \u5e76\u53c2\u4e0e\u5f53\u524d\u7248\u672c\u7684\u7f16\u8bd1\u3002\u5728\u5b9e\u9645\u4e2d\u5f00\u542f AutoFDO \u53ef\u4ee5\u62ff\u5230 2%\uff5e5% \u7684\u6027\u80fd\u63d0\u5347\u3002\u00a0BoltBolt \u57fa\u4e8e LLVM \u6846\u67b6\u7684\u4e8c\u8fdb\u5236 POST-LINK \u4f18\u5316\u6280\u672f\uff0c\u53ef\u4ee5\u5728 PGO\/\u57fa\u7840\u8fdb\u4e00\u6b65\u4f18\u5316\u3002Bolt \u5e94\u7528\u4e8e\u5176\u6570\u636e\u4e2d\u5fc3\u8d1f\u8f7d\u5904\u7406\uff0c\u5373\u4f7f\u6570\u636e\u4e2d\u5fc3\u5df2\u8fdb\u884c\u4e86 PGO(AutoFDO)\u548c LTO \u4f18\u5316\u540e\uff0cBOLT \u4ecd\u7136\u80fd\u591f\u63d0\u5347\u5176\u6027\u80fd\u3002
\"\u56fe\u7247\"<\/p>\n

    \n
  1. \n

    Function Discovery\uff1a\u901a\u8fc7 ELF \u7b26\u53f7\u8868\u67e5\u627e\u6240\u6709\u51fd\u6570\u540d\u5b57\u4e0e\u5730\u5740\u30022. Read debug info\uff1a\u5982\u679c\u4e8c\u8fdb\u5236\u7f16\u8bd1\u65f6\u5e26\u6709 Debug \u4fe1\u606f\uff0c\u8bfb\u53d6 Debug \u4fe1\u606f\u30023. Read Profile data\uff1a\u8bfb\u53d6 Profile \u6570\u636e\uff0c\u7528\u4e8e\u9a71\u52a8 CFG \u4e0a\u4f18\u5316\u30024. Disassembly\uff1a\u57fa\u4e8eLLVM\u5c06\u673a\u5668\u7801\u7ffb\u8bd1\u6210\u4fdd\u5b58\u5728\u5185\u5b58\u91cc\u7684\u6c47\u7f16\u6307\u4ee4\u30025. CFG Construction\uff1a\u4f9d\u636e\u6c47\u7f16\u6307\u4ee4\u6784\u5efa\u63a7\u5236\u6d41\u56fe\uff08Control-Flow graph\uff09\u30026. Optimization pipeline\uff1a\u7ecf\u8fc7\u4e0a\u8ff0\u64cd\u4f5c\uff0c\u6c47\u7f16\u6307\u4ee4\u5185\u90e8\u8868\u793a\u5f62\u5f0f\u5747\u542b\u6709Profile\u4fe1\u606f\uff0c\u5c31\u53ef\u4ee5\u8fdb\u884c\u4e00\u7cfb\u5217\u7684\u64cd\u4f5c\u4f18\u5316:BasicBlock ReorderingFunction Reordering…7. Emit and Link Functions\uff1a\u53d1\u5c04\u4f18\u5316\u540e\u4ee3\u7801\uff0c\u91cd\u5b9a\u5411\u51fd\u6570\u5730\u5740\uff1b8. Rewrite binary file\uff1a\u91cd\u5199\u4e8c\u8fdb\u5236\u6587\u4ef6\u3002Bolt \u7684\u63a5\u5165\u7c7b\u4f3c AutoFDO\uff0c\u4e5f\u9700\u8981\u5148\u6536\u96c6\u5230 Perf \u6570\u636e\u540c\u65f6\u4f7f\u7528\u8be5\u6570\u636e\u91cd\u65b0\u7f16\u8bd1\u3002\u5728\u6211\u4eec\u7684\u5b9e\u8df5\u4e2d\u6027\u80fd\u53ef\u4ee5\u63d0\u5347 8%\u3002\u8bed\u8a00\u7279\u6027\u8fd9\u91cc\u6211\u4eec\u7b80\u5355\u4ecb\u7ecd\u4e0b\u4e24\u4e2a C++ \u8bed\u8a00\u7684\u65b0\u7279\u6027 Coroutines \u00a0\u4e0e Modules \u6765\u5c55\u793a\u66f4\u65b0\u5230\u73b0\u4ee3\u5316\u5de5\u5177\u94fe\u540e\u53ef\u4ee5\u4f7f\u7528\u7684 C++ \u65b0\u7279\u6027\u3002\u00a0Coroutines\u9996\u5148\u53ef\u4ee5\u5148\u7b80\u5355\u4ecb\u7ecd\u4e00\u4e0b Coroutines\uff1a\u534f\u7a0b\u662f\u4e00\u4e2a\u53ef\u6302\u8d77\u7684\u51fd\u6570\u3002\u652f\u6301\u4ee5\u540c\u6b65\u65b9\u5f0f\u5199\u5f02\u6b65\u4ee3\u7801\u3002C++20 \u534f\u7a0b\u662f\u65e0\u6808\u534f\u7a0b\u3002\u5728\u8bed\u4e49\u5c42\u9762\u4e0d\u4fdd\u5b58\u8c03\u7528\u4e0a\u4e0b\u6587\u4fe1\u606f\u3002\u5bf9\u6bd4\u6709\u6808\u534f\u7a0b\u4e24\u4e2a\u6570\u91cf\u7ea7\u7684\u5207\u6362\u6548\u7387\u63d0\u5347\u3002\u66f4\u597d\u7684\u6267\u884c & \u5207\u6362\u6548\u7387\u3002\u5bf9\u6bd4 Callback\u66f4\u7b80\u6d01\u7684\u7f16\u7a0b\u6a21\u5f0f\uff0c\u907f\u514d Callback hell\u3002\u00a0\u63a5\u4e0b\u6765\u6211\u4eec\u4ee5\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\u4e3a\u4f8b\uff0c\u4ecb\u7ecd\u534f\u7a0b\u662f\u5982\u4f55\u652f\u6301\u4ee5\u540c\u6b65\u65b9\u5f0f\u5199\u5f02\u6b65\u4ee3\u7801\u3002\u9996\u5148\u6211\u4eec\u5148\u770b\u770b\u540c\u6b65\u4ee3\u7801\u7684\u6848\u4f8b\uff1auint64_t ReadSync(std::vector<File> Inputs) {
    uint64_t read_size = 0;
    for (auto &&Input : Inputs)
    read_size += ReadImplSync(Input);
    return read_size;
    }\u00a0\u8fd9\u662f\u4e00\u4e2a\u7edf\u8ba1\u591a\u4e2a\u6587\u4ef6\u4f53\u79ef\u7684\u540c\u6b65\u4ee3\u7801\uff0c\u5e94\u8be5\u662f\u975e\u5e38\u7b80\u5355\u3002\u00a0\u63a5\u4e0b\u6765\u6211\u4eec\u518d\u770b\u4e0b\u5bf9\u5e94\u7684\u5f02\u6b65\u5199\u6cd5\uff1atemplate <RangeT Range, Callable Lambda>
    future<void> do_for_each(Range, Lambda); \/\/ We need introduce another API.
    future<uint64_t> ReadAsync(vector<File> Inputs) {
    auto read_size = std::make_shared<uint64_t>(0); \/\/ We need introduce shared_ptr.
    return do_for_each(Inputs, \/\/ Otherwise read_size would be<\/p>\n

              [read_size] (auto &&Input){            \/\/ released after ReadAsync ends.\n                             return ReadImplAsync(Input).then([read_size](auto &&size){\n                                      *read_size += size;\n                                      return make_ready_future();\n                                });\n                         })<\/code><\/pre>\n
    .then([read_size] { return make_ready_future<uint64_t>(*read_size); });
    }\u00a0\u8089\u773c\u53ef\u89c1\u5730\uff0c\u5f02\u6b65\u5199\u6cd5\u9ebb\u70e6\u4e86\u975e\u5e38\u591a\u3002\u540c\u65f6\u8fd9\u91cc\u8fd8\u4f7f\u7528\u5230\u4e86 std::shared_ptr\u3002\u4f46 std::shared_ptr \u4f1a\u6709\u989d\u5916\u7684\u5f00\u9500\u3002\u5982\u679c\u7528\u6237\u4e0d\u60f3\u8981\u8fd9\u4e2a\u5f00\u9500\u7684\u8bdd\u9700\u8981\u81ea\u5df1\u5b9e\u73b0\u4e00\u4e2a\u975e\u7ebf\u7a0b\u5b89\u5168\u7684 shared_ptr\uff0c\u8fd8\u662f\u6bd4\u8f83\u9ebb\u70e6\u7684\u3002\u00a0\u6700\u540e\u518d\u8ba9\u6211\u4eec\u6765\u770b\u4e0b\u534f\u7a0b\u7248\u7684\u4ee3\u7801\uff1aLazy<uint64_t> ReadCoro(std::vector<File> Inputs) {
     uint64_t read_size = 0;
     for (auto &&Input : Inputs)<\/p>\n
     read_size += co_await ReadImplCoro(Input);<\/code><\/pre>\n
    co_return read_size;
    }\u53ef\u4ee5\u770b\u5230\u8fd9\u4e2a\u7248\u672c\u7684\u4ee3\u7801\u4e0e\u540c\u6b65\u4ee3\u7801\u662f\u975e\u5e38\u50cf\u7684\uff0c\u4f46\u8fd9\u4efd\u4ee3\u7801\u672c\u8d28\u4e0a\u5176\u5b9e\u662f\u5f02\u6b65\u4ee3\u7801\u7684\u3002\u6240\u4ee5\u6211\u4eec\u8bf4\uff1a\u00a0\u534f\u7a0b\u53ef\u4ee5\u8ba9\u6211\u4eec\u7528\u540c\u6b65\u65b9\u5f0f\u5199\u5f02\u6b65\u4ee3\u7801\uff1b\u517c\u5177\u5f00\u53d1\u6548\u7387\u548c\u8fd0\u884c\u6548\u7387\u3002\u00a0\u63a5\u4e0b\u6765\u6765\u7b80\u5355\u4ecb\u7ecd\u4e0b C++20 \u534f\u7a0b\u7684\u5b9e\u73b0\uff1aC++20 \u534f\u7a0b\u662f\u65e0\u6808\u534f\u7a0b\uff0c\u9700\u8981\u7f16\u8bd1\u5668\u4ecb\u5165\u624d\u80fd\u5b9e\u73b0\u3002\u5224\u5b9a\u534f\u7a0b\u5e76\u641c\u7d22\u76f8\u5173\u7ec4\u4ef6\u3002\uff08Frontend Semantic Analysis\uff09\u751f\u6210\u4ee3\u7801\u3002\uff08Frontend Code Generation\uff09\u751f\u6210\u3001\u4f18\u5316\u3001\u7ef4\u62a4\u534f\u7a0b\u6862\u3002\uff08Middle-end\uff09C++20 \u534f\u7a0b\u53ea\u8bbe\u8ba1\u4e86\u57fa\u672c\u8bed\u6cd5\uff0c\u5e76\u6ca1\u6709\u52a0\u5165\u534f\u7a0b\u5e93\u3002C++20 \u534f\u7a0b\u7684\u76ee\u6807\u7528\u6237\u662f\u534f\u7a0b\u5e93\u4f5c\u8005\u3002\u5176\u4ed6\u7528\u6237\u5e94\u901a\u8fc7\u534f\u7a0b\u5e93\u4f7f\u7528\u534f\u7a0b\u3002\u00a0\u540c\u65f6\u6211\u4eec\u5728 GCC \u548c Clang \u4e2d\u505a\u4e86\u4ee5\u4e0b\u5de5\u4f5c\uff1aGCC\u4e0e\u793e\u533a\u5408\u4f5c\u8fdb\u884c\u534f\u7a0b\u7684\u652f\u6301\u3002GCC-10 \u662f\u7b2c\u4e00\u4e2a\u652f\u6301 C++ \u534f\u7a0b\u7279\u6027\u7684 GCC \u7f16\u8bd1\u5668\u3002\u4ec5\u652f\u6301\uff0c\u65e0\u4f18\u5316\u3002Clang\/LLVM\u4e0e Clang\/LLVM \u793e\u533a\u5408\u4f5c\u5b8c\u5584 C++ \u534f\u7a0b\u3002\u6539\u5584&\u4f18\u5316\uff1a\u5bf9\u79f0\u53d8\u6362\u3001\u534f\u7a0b\u9003\u9038\u5206\u6790\u548cCoroElide\u4f18\u5316\uff0c\u534f\u7a0b\u5e27\u4f18\u5316\uff08Frame reduction\uff09\uff0c\u5b8c\u5584\u534f\u7a0b\u8c03\u8bd5\u80fd\u529b\u3001\u5c3e\u8c03\u7528\u4f18\u5316\u3001Coro Return Value Optimization\u7b49\u3002\u5728 Clang\/LLVM14 \u4e2d\uff0ccoroutine \u79fb\u51fa\u4e86 experimental namespace\u3002Maintaining\u00a0\u6700\u540e\u6211\u4eec\u8fd8\u5b9e\u73b0\u5e76\u5f00\u6e90\u4e86\u4e00\u4e2a\u7ecf\u8fc7\u53cc 11 \u9a8c\u8bc1\u7684\u534f\u7a0b\u5e93 async_simple:
    \"\u56fe\u7247\"
    async_simple\u8bbe\u8ba1\u501f\u9274\u4e86 folly \u5e93\u534f\u7a0b\u6a21\u5757\u3002\u8f7b\u91cf\u7ea7\u3002\u5305\u542b\u6709\u6808\u534f\u7a0b\u3001\u65e0\u6808\u534f\u7a0b\u4ee5\u53ca Future\/Promise \u7b49\u5f02\u6b65\u7ec4\u4ef6\u3002\u4ece\u771f\u5b9e\u9700\u6c42\u51fa\u53d1\u3002\u4e0e\u8c03\u5ea6\u5668\u89e3\u85d5\uff0c\u7528\u6237\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u81ea\u5df1\u7684\u8c03\u5ea6\u5668\u3002\u7ecf\u53d7\u4e86\u5de5\u4e1a\u7ea7 Workload \u7684\u8003\u9a8c\u3002\u5f00\u6e90\u4e8e\uff1ahttps:\/\/github.com\/alibaba\/as…<\/a>\u6700\u540e\u6211\u4eec\u6765\u770b\u4e0b\u6211\u4eec\u5e94\u7528\u534f\u7a0b\u540e\u7684\u6548\u679c\uff1a\u4e1a\u52a11\uff081M Loc\u300135w core\uff09\u539f\u5148\u4e3a\u540c\u6b65\u903b\u8f91\u534f\u7a0b\u5316\u540e Latency \u4e0b\u964d 30%\u8d85\u65f6\u67e5\u8be2\u6570\u91cf\u5927\u5e45\u4e0b\u964d\u751a\u81f3\u6e05\u96f6\u4e1a\u52a12\uff087M Loc\uff09\u539f\u5148\u4e3a\u5f02\u6b65\u903b\u8f91\u534f\u7a0b\u5316\u540e Latency \u4e0b\u964d 8%\u4e1a\u52a13\uff08100K Loc\u30012.7w core\uff09\u539f\u5148\u4e3a\u540c\u6b65\u903b\u8f91\u534f\u7a0b\u5316\u540e qps \u63d0\u5347 10 \u500d\u4ee5\u4e0a\u6027\u80fdModulesModules \u662f C++20 \u7684\u56db\u5927\u91cd\u8981\u7279\u6027\uff08Coroutines\u3001Ranges\u3001Concepts \u4ee5\u53ca Modules\uff09\u4e4b\u4e00\u3002Modules \u4e5f\u662f\u8fd9\u56db\u5927\u7279\u6027\u4e2d\u5bf9\u73b0\u5728 C++ \u751f\u6001\u5f71\u54cd\u6700\u5927\u7684\u7279\u6027\u3002Modules \u662f C++20 \u4e3a\u590d\u6742\u3001\u96be\u7528\u3001\u6613\u9519\u3001\u7f13\u6162\u4ee5\u53ca\u53e4\u8001\u7684 C++ \u9879\u76ee\u7ec4\u7ec7\u5f62\u5f0f\u63d0\u4f9b\u7684\u73b0\u4ee3\u5316\u89e3\u51b3\u65b9\u6848\u3002Modules \u53ef\u4ee5\u63d0\u4f9b\uff1a\u964d\u4f4e\u590d\u6742\u5ea6\u4e0e\u51fa\u9519\u7684\u673a\u4f1a\u66f4\u597d\u7684\u5c01\u88c5\u6027\u66f4\u5feb\u7684\u7f16\u8bd1\u901f\u5ea6\u5bf9\u4e8e\u964d\u4f4e\u590d\u6742\u5ea6\u800c\u8a00\uff0c\u6211\u4eec\u6765\u770b\u4e0b\u9762\u8fd9\u4e2a\u4f8b\u5b50\uff1a#include “a.h”<\/p>\n
    include “b.h”<\/h2>\n
    \/\/ another file<\/p>\n
    include “b.h<\/h2>\n
    include “a.h”\u5728\u4f20\u7edf\u7684\u5934\u6587\u4ef6\u7ed3\u6784\u4e2d a.h\u4e0e b.h \u7684 include \u987a\u5e8f\u53ef\u80fd\u4f1a\u5bfc\u81f4\u4e0d\u540c\u7684\u884c\u4e3a\uff0c\u8fd9\u4e00\u70b9\u662f\u975e\u5e38\u70e6\u4eba\u4e14\u6613\u9519\u7684\u3002\u800c\u8fd9\u4e2a\u95ee\u9898\u5728 Modules \u4e2d\u5c31\u81ea\u7136\u5f97\u5230\u89e3\u51b3\u4e86\u3002\u4f8b\u5982\u4e0b\u9762\u4e24\u6bb5\u4ee3\u7801\u662f\u5b8c\u5168\u7b49\u4ef7\u7684\uff1aimport a;<\/h2>\n
    import b;\u4e0eimport b;
    import a;\u5bf9\u4e8e\u5c01\u88c5\u6027\uff0c\u6211\u4eec\u4ee5 asio \u5e93\u4e2d\u7684 asio::string_view \u4e3a\u4f8b\u8fdb\u884c\u8bf4\u660e\u3002\u4ee5\u4e0b\u662f asio::string_view \u7684\u5b9e\u73b0\uff1anamespace asio {<\/p>\n
    if defined(ASIO_HAS_STD_STRING_VIEW)<\/h2>\n
    using std::basic_string_view;
    using std::string_view;<\/p>\n
    elif defined(ASIO_HAS_STD_EXPERIMENTAL_STRING_VIEW)<\/h2>\n
    using std::experimental::basic_string_view;
    using std::experimental::string_view;<\/p>\n
    endif \/\/ defined(ASIO_HAS_STD_EXPERIMENTAL_STRING_VIEW)<\/h2>\n
    } \/\/ namespace asio<\/p>\n
    define ASIO_STRING_VIEW_PARAM asio::string_view<\/h2>\n
    else \/\/ defined(ASIO_HAS_STRING_VIEW)<\/h2>\n
    define ASIO_STRING_VIEW_PARAM const std::string&<\/h2>\n
    endif \/\/ defined(ASIO_HAS_STRING_VIEW)\u8be5\u6587\u4ef6\u7684\u4f4d\u7f6e\u662f \/asio\/detail\/string_view.hpp\uff0c\u4f4d\u4e8e detail \u76ee\u5f55\u4e0b\u3002\u540c\u65f6\u6211\u4eec\u4ece asio \u7684\u5b98\u65b9\u6587\u6863\uff08\u94fe\u63a5\u5730\u5740\u89c1\u6587\u672b\uff09\u4e2d\u4e5f\u627e\u4e0d\u5230 string_view \u7684\u75d5\u8ff9\u3002\u6240\u4ee5\u6211\u4eec\u57fa\u672c\u53ef\u4ee5\u5224\u65ad asio::string_view\u8fd9\u4e2a\u7ec4\u4ef6\u5728 asio \u4e2d\u662f\u4e0d\u5bf9\u5916\u63d0\u4f9b\u7684\uff0c\u53ea\u5728\u5e93\u5185\u90e8\u4f7f\u7528\uff0c\u4f5c\u4e3a\u5728 C++ \u6807\u51c6\u4e0d\u591f\u9ad8\u65f6\u7684\u5907\u9009\u3002\u7136\u800c\u4f7f\u7528\u8005\u4eec\u786e\u53ef\u80fd\u5c06 asio::string_view\u4f5c\u4e3a\u4e00\u4e2a\u7ec4\u4ef6\u5355\u72ec\u4f7f\u7528\uff08Examples\uff09\uff0c\u8fd9\u8fdd\u80cc\u4e86\u5e93\u4f5c\u8005\u7684\u8bbe\u8ba1\u610f\u56fe\u3002\u4ece\u957f\u8fdc\u6765\u770b\uff0c\u7c7b\u4f3c\u7684\u95ee\u9898\u53ef\u80fd\u4f1a\u5bfc\u81f4\u5e93\u7528\u6237\u4ee3\u7801\u4e0d\u7a33\u5b9a\u3002\u56e0\u4e3a\u5e93\u4f5c\u8005\u5f88\u53ef\u80fd\u4e0d\u4f1a\u5bf9\u6ca1\u6709\u66b4\u9732\u7684\u529f\u80fd\u505a\u517c\u5bb9\u6027\u4fdd\u8bc1\u3002\u00a0\u8fd9\u4e2a\u95ee\u9898\u7684\u672c\u8d28\u662f\u5934\u6587\u4ef6\u7684\u673a\u5236\u6839\u672c\u65e0\u6cd5\u4fdd\u8bc1\u5c01\u88c5\u3002\u7528\u6237\u60f3\u62ff\u4ec0\u4e48\u5c31\u62ff\u4ec0\u4e48\u3002<\/h2>\n
    \"\u56fe\u7247\"
    \u800c Modules \u7684\u673a\u5236\u53ef\u4ee5\u4fdd\u969c\u7528\u6237\u65e0\u6cd5\u4f7f\u7528\u6211\u4eec\u4e0d\u8ba9\u4ed6\u4eec\u4f7f\u7528\u7684\u4e1c\u897f\uff0c\u6781\u5f3a\u5730\u589e\u5f3a\u4e86\u5c01\u88c5\u6027\uff1a
    \"\u56fe\u7247\"
    \u6700\u540e\u662f\u7f16\u8bd1\u901f\u5ea6\u7684\u63d0\u5347\uff0c\u5934\u6587\u4ef6\u5bfc\u81f4\u7f16\u8bd1\u901f\u5ea6\u6162\u7684\u6839\u672c\u539f\u56e0\u662f\u6bcf\u4e2a\u5934\u6587\u4ef6\u5728\u6bcf\u4e2a\u5305\u542b\u8be5\u5934\u6587\u4ef6\u7684\u6e90\u6587\u4ef6\u4e2d\u90fd\u4f1a\u88ab\u7f16\u8bd1\u4e00\u904d\uff0c\u4f1a\u5bfc\u81f4\u975e\u5e38\u591a\u5197\u4f59\u7684\u7f16\u8bd1\u3002\u5982\u679c\u9879\u76ee\u4e2d\u6709 n \u4e2a\u5934\u6587\u4ef6\u548c m \u4e2a\u6e90\u6587\u4ef6\uff0c\u4e14\u6bcf\u4e2a\u5934\u6587\u4ef6\u90fd\u4f1a\u88ab\u6bcf\u4e2a\u6e90\u6587\u4ef6\u5305\u542b\uff0c\u90a3\u4e48\u8fd9\u4e2a\u9879\u76ee\u7684\u7f16\u8bd1\u65f6\u95f4\u590d\u6742\u5ea6\u4e3a \u00a0O(n*m)\u3002\u5982\u679c\u540c\u6837\u7684\u9879\u76ee\u7531 n \u4e2a Modules \u548c m \u4e2a\u6e90\u6587\u4ef6\uff0c\u90a3\u4e48\u8fd9\u4e2a\u9879\u76ee\u7684\u7f16\u8bd1\u65f6\u95f4\u590d\u6742\u5ea6\u5c06\u4e3a O(n+m)\u3002\u8fd9\u4f1a\u662f\u4e00\u4e2a\u590d\u6742\u5ea6\u7ea7\u522b\u7684\u63d0\u5347\u3002\u00a0\u6211\u4eec\u5728\u00a0    https:\/\/github.com\/alibaba\/as…<\/a>\u00a0\u4e2d\u5c06 async_simple \u5e93\u8fdb\u884c\u4e86\u5b8c\u5168 Modules \u5316\uff0c\u540c\u65f6\u6d4b\u4e86\u7f16\u8bd1\u901f\u5ea6\u7684\u63d0\u5347\uff1a
    \"\u56fe\u7247\"
    \u53ef\u4ee5\u770b\u5230\u7f16\u8bd1\u65f6\u95f4\u6700\u591a\u53ef\u4ee5\u4e0b\u964d 74%\uff0c\u8fd9\u610f\u5473\u7740 4 \u500d\u7684\u7f16\u8bd1\u901f\u5ea6\u63d0\u5347\u3002\u9700\u8981\u4e3b\u8981 async_simple \u662f\u4e00\u4e2a\u4ee5\u6a21\u7248\u4e3a\u4e3b\u7684 header only \u5e93\uff0c\u5bf9\u4e8e\u5176\u4ed6\u5e93\u800c\u8a00\u7f16\u8bd1\u52a0\u901f\u5e94\u8be5\u66f4\u5927\u624d\u5bf9\u3002\u5173\u4e8e Modules \u5bf9\u7f16\u8bd1\u52a0\u901f\u7684\u5206\u6790\u6211\u4eec\u5728\u4eca\u5e74\u7684 CppCon22 \u4e2d\u4e5f\u6709\u4ecb\u7ecd\uff08\u94fe\u63a5\u5730\u5740\u89c1\u6587\u672b\uff09\u3002\u00a0\u6700\u540e\u5173\u4e8e Modules \u7684\u8fdb\u5c55\u4e3a\uff1a\u7f16\u8bd1\u5668\u521d\u6b65\u5f00\u53d1\u5b8c\u6210\u652f\u6301 std modules\u4f18\u5148\u5185\u90e8\u5e94\u7528\u5df2\u5728 Clang15 \u4e2d\u53d1\u5e03\u63a2\u7d22\u7f16\u8bd1\u5668\u4e0e\u6784\u5efa\u7cfb\u7edf\u4ea4\u4e92 (ing)\u603b\u7ed3\u6700\u540e\u6211\u4eec\u518d\u603b\u7ed3\u4e00\u4e0b\uff0c\u4f7f\u7528\u73b0\u4ee3\u5316\u5de5\u5177\u94fe\u5e26\u6765\u7684\u597d\u5904\uff1a\u66f4\u77ed\u7684\u7f16\u8bd1\u65f6\u95f4\u66f4\u597d\u7684\u8fd0\u884c\u65f6\u6027\u80fd\u66f4\u597d\u7684\u7f16\u8bd1\u3001\u9759\u6001\u3001\u8fd0\u884c\u65f6\u68c0\u67e5\u66f4\u591a\u4f18\u5316\u6280\u672f \u2013 ThinLTO\u3001AutoFDO\u3001Bolt \u7b49\u66f4\u65b0\u7684\u8bed\u8a00\u7279\u6027\u652f\u6301 \u2013 C++20 \u534f\u7a0b\u3001C++20 Module \u7b49\u6301\u7eed\u6027\u66f4\u65b0\u5347\u7ea7 \u2013 \u826f\u6027\u5faa\u73af\u5e0c\u671b\u66f4\u591a\u7684\u9879\u76ee\u53ef\u4ee5\u4f7f\u7528\u66f4\u73b0\u4ee3\u5316\u7684\u5de5\u5177\u94fe\u3002\u00a0\u76f8\u5173\u94fe\u63a5\uff1aasio\u5b98\u65b9\u6587\u6863\u94fe\u63a5\u5730\u5740\uff1a    https:\/\/think-async.com\/Asio\/…<\/a> \u94fe\u63a5\u5730\u5740\uff1ahttps:\/\/cppcon.digital-medium…<\/a>\u3002\u2014\u2014 \u5b8c \u2014\u2014\u52a0\u5165\u9f99\u8725\u793e\u7fa4\u52a0\u5165\u5fae\u4fe1\u7fa4\uff1a\u6dfb\u52a0\u793e\u533a\u52a9\u7406-\u9f99\u8725\u793e\u533a\u5c0f\u9f99\uff08\u5fae\u4fe1\uff1aopenanolis_assis\uff09\uff0c\u5907\u6ce8\u3010\u9f99\u8725\u3011\u4e0e\u4f60\u540c\u5728\uff1b\u52a0\u5165\u9489\u9489\u7fa4\uff1a\u626b\u63cf\u4e0b\u65b9\u9489\u9489\u7fa4\u4e8c\u7ef4\u7801\u3002\u6b22\u8fce\u5f00\u53d1\u8005\/\u7528\u6237\u52a0\u5165\u9f99\u8725\u793e\u533a\uff08OpenAnolis\uff09\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u8fdb\u9f99\u8725\u793e\u533a\u7684\u53d1\u5c55\uff0c\u4e00\u8d77\u6253\u9020\u4e00\u4e2a\u6d3b\u8dc3\u7684\u3001\u5065\u5eb7\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u751f\u6001\uff01
    \"\u56fe\u7247\"
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    https:\/\/segmentfault.com\/a\/1190000042679308<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
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