Boost Unordered Translation (zh_Hans)/Doc / Modules / Root / Pages / Benchmarks (adoc) — Chinese (Simplified Han script) @ Boost-Weblate: Clang 15, x64

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Key	English	Chinese (Simplified Han script)
:366	Visual Studio 2022, x64	Visual Studio 2022, x64
:378	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:385	Clang 12, ARM64	Clang 12, ARM64
:397	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:404	GCC 12, x86	GCC 12, x86
:416	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:423	Clang 15, x86	Clang 15, x86
:435	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:44	h\|non-duplicate elements, + prior `reserve` h\|duplicate elements, + prior `reserve` h\|duplicate elements, + max load factor 5, + prior `reserve`	h\|非重复元素, + 预先 `reserve` h\|重复元素, + 预先 `reserve` h\|重复元素, + 最大负载因子 5, + 预先 `reserve`
:442	Visual Studio 2022, x86	Visual Studio 2022, x86
:454	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:463	All benchmarks were created using:	所有基准测试均为使用以下链接来创建的：
:482	GCC 12, x64	GCC 12, x64
:493	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
:509	h\|5M updates, 45M lookups + skew=0.01 h\|5M updates, 45M lookups + skew=0.5 h\|5M updates, 45M lookups + skew=0.99 \|===	h\|500万次更新, 4500万次查找 + 偏斜=0.01 h\|500万次更新, 4500万次查找 + 偏斜=0.5 h\|500万次更新, 4500万次查找 + 偏斜=0.99 \|===
:517	Clang 15, x64	Clang 15, x64
:528	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
:54	Erasure	擦除
:544	h\|5M updates, 45M lookups + skew=0.01 h\|5M updates, 45M lookups + skew=0.5 h\|5M updates, 45M lookups + skew=0.99 \|===	h\|500万次更新, 4500万次查找 + 偏斜=0.01 h\|500万次更新, 4500万次查找 + 偏斜=0.5 h\|500万次更新, 4500万次查找 + 偏斜=0.99 \|===
:552	Visual Studio 2022, x64	Visual Studio 2022, x64
:563	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
:579	h\|5M updates, 45M lookups + skew=0.01 h\|5M updates, 45M lookups + skew=0.5 h\|5M updates, 45M lookups + skew=0.99 \|===	h\|500万次更新, 4500万次查找 + 偏斜=0.01 h\|500万次更新, 4500万次查找 + 偏斜=0.5 h\|500万次更新, 4500万次查找 + 偏斜=0.99 \|===
:587	Clang 12, ARM64	Clang 12, ARM64
:598	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
:614	h\|5M updates, 45M lookups + skew=0.01 h\|5M updates, 45M lookups + skew=0.5 h\|5M updates, 45M lookups + skew=0.99 \|===	h\|500万次更新, 4500万次查找 + 偏斜=0.01 h\|500万次更新, 4500万次查找 + 偏斜=0.5 h\|500万次更新, 4500万次查找 + 偏斜=0.99 \|===
:622	GCC 12, x86	GCC 12, x86
:633	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
:64	h\|non-duplicate elements h\|duplicate elements h\|duplicate elements, + max load factor 5	h\|非重复元素 h\|重复元素 h\|重复元素, + 最大负载因子 5
:649	h\|5M updates, 45M lookups + skew=0.01 h\|5M updates, 45M lookups + skew=0.5 h\|5M updates, 45M lookups + skew=0.99 \|===	h\|500万次更新, 4500万次查找 + 偏斜=0.01 h\|500万次更新, 4500万次查找 + 偏斜=0.5 h\|500万次更新, 4500万次查找 + 偏斜=0.99 \|===
:657	Clang 15, x86	Clang 15, x86

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doc/modules/ROOT/pages/benchmarks_zh_Hans.adoc, string 164

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Key	English	Chinese (Simplified Han script)
	`https://github.com/greg7mdp/gtl/blob/main/docs/phmap.md[gtl::parallel_flat_hash_map^]<int, int>` with 64 submaps	`https://github.com/greg7mdp/gtl/blob/main/docs/phmap.md[gtl::parallel_flat_hash_map^]<int, int="">` （含64个子映射）</int,>
	`boost::concurrent_flat_map<int, int>`	`boost::concurrent_flat_map<int, int="">`</int,>
	`boost::concurrent_node_map<int, int>`	`boost::concurrent_node_map<int, int="">`</int,>
	The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_concurrent_flat_map[found here^].	源代码可 https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_concurrent_flat_map[在此处获取] 。
	The benchmarks exercise a number of threads _T_ (between 1 and 16) concurrently performing operations randomly chosen among update, successful lookup and unsuccessful lookup. The keys used in the operations follow a https://en.wikipedia.org/wiki/Zipf%27s_law#Formal_definition[Zipf distribution^] with different _skew_ parameters: the higher the skew, the more concentrated are the keys in the lower values of the covered range.	基准测试使用__T__个线程（数量1至16之间）并发执行随机选择的操作，这些操作包括更新、成功查找和未命中查找三种类型。操作使用的键遵循 https://en.wikipedia.org/wiki/Zipf%27s_law#Formal_definition[齐夫分布] ，并采用不同的__偏斜__参数：偏斜值越高，键的分布越集中在取值区间的较低数值区域。
	`boost::concurrent_flat_map` and `boost::concurrent_node_map` are exercised using both regular and xref:concurrent.adoc#concurrent_bulk_visitation[bulk visitation]: in the latter case, lookup keys are buffered in a local array and then processed at once each time the buffer reaches `xref:reference/concurrent_flat_map.adoc#concurrent_flat_map_constants[bulk_visit_size]`.	`boost::concurrent_flat_map` 和 `boost::concurrent_node_map` 分别通过常规访问和 xref:concurrent.adoc#concurrent_bulk_visitation[批量访问] 进行演练：在批量访问的情况下，查找键会缓存在本地数组中，每当缓冲区大小达到 `xref:reference/concurrent_flat_map.adoc#concurrent_flat_map_constants[bulk_visit_size]` 时，再一次性处理这些键。
:482	GCC 12, x64	GCC 12, x64
	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.01.png"]	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.01.png"]
	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.5.png"]	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.5.png"]
	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.99.png"]	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.500k, 0.99.png"]
:493	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.01.png"]	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.01.png"]
	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.5.png"]	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.5.png"]
	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.99.png"]	image::benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/gcc-x64/Parallel workload.xlsx.5M, 0.99.png"]
:509	h\|5M updates, 45M lookups + skew=0.01 h\|5M updates, 45M lookups + skew=0.5 h\|5M updates, 45M lookups + skew=0.99 \|===	h\|500万次更新, 4500万次查找 + 偏斜=0.01 h\|500万次更新, 4500万次查找 + 偏斜=0.5 h\|500万次更新, 4500万次查找 + 偏斜=0.99 \|===
:517	Clang 15, x64	Clang 15, x64
	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.01.png"]	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.01.png"]
	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.5.png"]	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.5.png"]
	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.99.png"]	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.500k, 0.99.png"]
:528	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.01.png"]	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.01.png"]
	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.5.png"]	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.5.png"]
	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.99.png"]	image::benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/clang-x64/Parallel workload.xlsx.5M, 0.99.png"]
:544	h\|5M updates, 45M lookups + skew=0.01 h\|5M updates, 45M lookups + skew=0.5 h\|5M updates, 45M lookups + skew=0.99 \|===	h\|500万次更新, 4500万次查找 + 偏斜=0.01 h\|500万次更新, 4500万次查找 + 偏斜=0.5 h\|500万次更新, 4500万次查找 + 偏斜=0.99 \|===
:552	Visual Studio 2022, x64	Visual Studio 2022, x64
	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.01.png"]	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.01.png"]
	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.5.png"]	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.5.png"]
	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.99.png"]	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.99.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.500k, 0.99.png"]
:563	h\|500k updates, 4.5M lookups + skew=0.01 h\|500k updates, 4.5M lookups + skew=0.5 h\|500k updates, 4.5M lookups + skew=0.99 \|===	h\|50万次更新, 450万次查找 + 偏斜=0.01 h\|50万次更新, 450万次查找 + 偏斜=0.5 h\|50万次更新, 450万次查找 + 偏斜=0.99 \|===
	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.01.png"]	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.01.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.01.png"]
	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.5.png"]	image::benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.5.png[width=250,window=_blank,link="_images/benchmarks-concurrent_map/vs-x64/Parallel workload.xlsx.5M, 0.5.png"]

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