[#benchmarks] :idprefix: benchmarks_ :imagesdir: ../diagrams = Benchmarks == boost::unordered_[multi]set All benchmarks were created using `unordered_set` (non-duplicate) and `unordered_multiset` (duplicate). The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_unordered_set[found here^]. The insertion benchmarks insert `n` random values, where `n` is between 10,000 and 3 million. For the duplicated benchmarks, the same random values are repeated an average of 5 times. The erasure benchmarks erase all `n` elements randomly until the container is empty. The successful lookup benchmarks are done by looking up all `n` values, in their original insertion order. The unsuccessful lookup benchmarks use `n` randomly generated integers but using a different seed value. === GCC 12 + libstdc++-v3, x64 ==== Insertion [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/gcc/running insertion.xlsx.practice.png[width=250,link=../diagrams/benchmarks-set/gcc/running insertion.xlsx.practice.png,window=_blank] |image::benchmarks-set/gcc/running%20insertion.xlsx.practice non-unique.png[width=250,link=../diagrams/benchmarks-set/gcc/running%20insertion.xlsx.practice non-unique.png,window=_blank] |image::benchmarks-set/gcc/running%20insertion.xlsx.practice non-unique 5.png[width=250,link=../diagrams/benchmarks-set/gcc/running%20insertion.xlsx.practice non-unique 5.png,window=_blank] h|non-duplicate elements h|duplicate elements h|duplicate elements + max load factor 5 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/gcc/running%20insertion.xlsx.practice norehash.png[width=250,link=../diagrams/benchmarks-set/gcc/running%20insertion.xlsx.practice norehash.png,window=_blank] |image::benchmarks-set/gcc/running%20insertion.xlsx.practice norehash non-unique.png[width=250,link=../diagrams/benchmarks-set/gcc/running%20insertion.xlsx.practice norehash non-unique.png,window=_blank] |image::benchmarks-set/gcc/running%20insertion.xlsx.practice norehash non-unique 5.png[width=250,link=../diagrams/benchmarks-set/gcc/running%20insertion.xlsx.practice norehash non-unique 5.png,window=_blank] h|non-duplicate elements, + prior `reserve` h|duplicate elements, + prior `reserve` h|duplicate elements, + max load factor 5, + prior `reserve` |=== ==== Erasure [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/gcc/scattered%20erasure.xlsx.practice.png[width=250,link=../diagrams/benchmarks-set/gcc/scattered%20erasure.xlsx.practice.png,window=_blank] |image::benchmarks-set/gcc/scattered%20erasure.xlsx.practice non-unique.png[width=250,link=../diagrams/benchmarks-set/gcc/scattered%20erasure.xlsx.practice non-unique.png,window=_blank] |image::benchmarks-set/gcc/scattered%20erasure.xlsx.practice non-unique 5.png[width=250,link=../diagrams/benchmarks-set/gcc/scattered%20erasure.xlsx.practice non-unique 5.png,window=_blank] h|non-duplicate elements h|duplicate elements h|duplicate elements + max load factor 5 |=== ==== Successful Lookup [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/gcc/scattered%20successful%20looukp.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/gcc/scattered%20successful%20looukp.xlsx.practice.png] |image::benchmarks-set/gcc/scattered%20successful%20looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/gcc/scattered%20successful%20looukp.xlsx.practice non-unique.png] |image::benchmarks-set/gcc/scattered%20successful%20looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/gcc/scattered%20successful%20looukp.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== ==== Unsuccessful lookup [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/gcc/scattered%20unsuccessful%20looukp.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/gcc/scattered%20unsuccessful%20looukp.xlsx.practice.png] |image::benchmarks-set/gcc/scattered%20unsuccessful%20looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/gcc/scattered%20unsuccessful%20looukp.xlsx.practice non-unique.png] |image::benchmarks-set/gcc/scattered%20unsuccessful%20looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/gcc/scattered%20unsuccessful%20looukp.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== === Clang 15 + libc++, x64 ==== Insertion [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice.png[width=250, window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice.png] |image::benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice non-unique.png[width=250, window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice non-unique.png] |image::benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice non-unique 5.png[width=250, window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice norehash.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice norehash.png] |image::benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice norehash non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice norehash non-unique.png] |image::benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice norehash non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/running%20insertion.xlsx.practice norehash non-unique 5.png] h|non-duplicate elements, + prior `reserve` h|duplicate elements, + prior `reserve` h|duplicate elements, + max load factor 5, + prior `reserve` |=== ==== Erasure [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/clang_libcpp/scattered%20erasure.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20erasure.xlsx.practice.png] |image::benchmarks-set/clang_libcpp/scattered%20erasure.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20erasure.xlsx.practice non-unique.png] |image::benchmarks-set/clang_libcpp/scattered%20erasure.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20erasure.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== ==== Successful lookup [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/clang_libcpp/scattered%20successful%20looukp.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20successful%20looukp.xlsx.practice.png] |image::benchmarks-set/clang_libcpp/scattered%20successful%20looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20successful%20looukp.xlsx.practice non-unique.png] |image::benchmarks-set/clang_libcpp/scattered%20successful%20looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20successful%20looukp.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== ==== Unsuccessful lookup [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/clang_libcpp/scattered%20unsuccessful%20looukp.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20unsuccessful%20looukp.xlsx.practice.png] |image::benchmarks-set/clang_libcpp/scattered%20unsuccessful%20looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20unsuccessful%20looukp.xlsx.practice non-unique.png] |image::benchmarks-set/clang_libcpp/scattered%20unsuccessful%20looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/clang_libcpp/scattered%20unsuccessful%20looukp.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== === Visual Studio 2022 + Dinkumware, x64 ==== Insertion [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/vs/running%20insertion.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/running%20insertion.xlsx.practice.png] |image::benchmarks-set/vs/running%20insertion.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/running%20insertion.xlsx.practice non-unique.png] |image::benchmarks-set/vs/running%20insertion.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/running%20insertion.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/vs/running%20insertion.xlsx.practice norehash.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/running%20insertion.xlsx.practice norehash.png] |image::benchmarks-set/vs/running%20insertion.xlsx.practice norehash non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/running%20insertion.xlsx.practice norehash non-unique.png] |image::benchmarks-set/vs/running%20insertion.xlsx.practice norehash non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/running%20insertion.xlsx.practice norehash non-unique 5.png] h|non-duplicate elements, + prior `reserve` h|duplicate elements, + prior `reserve` h|duplicate elements, + max load factor 5, + prior `reserve` |=== ==== Erasure [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/vs/scattered%20erasure.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20erasure.xlsx.practice.png] |image::benchmarks-set/vs/scattered%20erasure.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20erasure.xlsx.practice non-unique.png] |image::benchmarks-set/vs/scattered%20erasure.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20erasure.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== ==== Successful lookup [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/vs/scattered%20successful%20looukp.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20successful%20looukp.xlsx.practice.png] |image::benchmarks-set/vs/scattered%20successful%20looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20successful%20looukp.xlsx.practice non-unique.png] |image::benchmarks-set/vs/scattered%20successful%20looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20successful%20looukp.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== ==== Unsuccessful lookup [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-set/vs/scattered%20unsuccessful%20looukp.xlsx.practice.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20unsuccessful%20looukp.xlsx.practice.png] |image::benchmarks-set/vs/scattered%20unsuccessful%20looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20unsuccessful%20looukp.xlsx.practice non-unique.png] |image::benchmarks-set/vs/scattered%20unsuccessful%20looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=../diagrams/benchmarks-set/vs/scattered%20unsuccessful%20looukp.xlsx.practice non-unique 5.png] h|non-duplicate elements h|duplicate elements h|duplicate elements, + max load factor 5 |=== == boost::unordered_(flat|node)_map All benchmarks were created using: * `https://abseil.io/docs/cpp/guides/container[absl::flat_hash_map^]` * `boost::unordered_map` * `boost::unordered_flat_map` * `boost::unordered_node_map` The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_unordered_flat_map[found here^]. The insertion benchmarks insert `n` random values, where `n` is between 10,000 and 10 million. The erasure benchmarks erase traverse the `n` elements and erase those with odd key (50% on average). The successful lookup benchmarks are done by looking up all `n` values, in their original insertion order. The unsuccessful lookup benchmarks use `n` randomly generated integers but using a different seed value. === GCC 12, x64 [caption=] [cols="4*^.^a", frame=all, grid=all] |=== |image::benchmarks-flat_map/gcc-x64/Running%20insertion.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x64/Running%20insertion.xlsx.plot.png] |image::benchmarks-flat_map/gcc-x64/Running%20erasure.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x64/Running%20erasure.xlsx.plot.png] |image::benchmarks-flat_map/gcc-x64/Scattered%20successful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x64/Scattered%20successful%20looukp.xlsx.plot.png] |image::benchmarks-flat_map/gcc-x64/Scattered%20unsuccessful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x64/Scattered%20unsuccessful%20looukp.xlsx.plot.png] h|running insertion h|running erasure h|successful lookup h|unsuccessful lookup |=== === Clang 15, x64 [caption=] [cols="4*^.^a", frame=all, grid=all] |=== |image::benchmarks-flat_map/clang-x64/Running%20insertion.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x64/Running%20insertion.xlsx.plot.png] |image::benchmarks-flat_map/clang-x64/Running%20erasure.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x64/Running%20erasure.xlsx.plot.png] |image::benchmarks-flat_map/clang-x64/Scattered%20successful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x64/Scattered%20successful%20looukp.xlsx.plot.png] |image::benchmarks-flat_map/clang-x64/Scattered%20unsuccessful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x64/Scattered%20unsuccessful%20looukp.xlsx.plot.png] h|running insertion h|running erasure h|successful lookup h|unsuccessful lookup |=== === Visual Studio 2022, x64 [caption=] [cols="4*^.^a", frame=all, grid=all] |=== |image::benchmarks-flat_map/vs-x64/Running%20insertion.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x64/Running%20insertion.xlsx.plot.png] |image::benchmarks-flat_map/vs-x64/Running%20erasure.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x64/Running%20erasure.xlsx.plot.png] |image::benchmarks-flat_map/vs-x64/Scattered%20successful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x64/Scattered%20successful%20looukp.xlsx.plot.png] |image::benchmarks-flat_map/vs-x64/Scattered%20unsuccessful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x64/Scattered%20unsuccessful%20looukp.xlsx.plot.png] h|running insertion h|running erasure h|successful lookup h|unsuccessful lookup |=== === Clang 12, ARM64 [caption=] [cols="4*^.^a", frame=all, grid=all] |=== |image::benchmarks-flat_map/clang-arm64/Running%20insertion.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-arm64/Running%20insertion.xlsx.plot.png] |image::benchmarks-flat_map/clang-arm64/Running%20erasure.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-arm64/Running%20erasure.xlsx.plot.png] |image::benchmarks-flat_map/clang-arm64/Scattered%20successful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-arm64/Scattered%20successful%20looukp.xlsx.plot.png] |image::benchmarks-flat_map/clang-arm64/Scattered%20unsuccessful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-arm64/Scattered%20unsuccessful%20looukp.xlsx.plot.png] h|running insertion h|running erasure h|successful lookup h|unsuccessful lookup |=== === GCC 12, x86 [caption=] [cols="4*^.^a", frame=all, grid=all] |=== |image::benchmarks-flat_map/gcc-x86/Running%20insertion.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x86/Running%20insertion.xlsx.plot.png] |image::benchmarks-flat_map/gcc-x86/Running%20erasure.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x86/Running%20erasure.xlsx.plot.png] |image::benchmarks-flat_map/gcc-x86/Scattered%20successful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x86/Scattered%20successful%20looukp.xlsx.plot.png] |image::benchmarks-flat_map/gcc-x86/Scattered%20unsuccessful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/gcc-x86/Scattered%20unsuccessful%20looukp.xlsx.plot.png] h|running insertion h|running erasure h|successful lookup h|unsuccessful lookup |=== === Clang 15, x86 [caption=] [cols="4*^.^a", frame=all, grid=all] |=== |image::benchmarks-flat_map/clang-x86/Running%20insertion.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x86/Running%20insertion.xlsx.plot.png] |image::benchmarks-flat_map/clang-x86/Running%20erasure.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x86/Running%20erasure.xlsx.plot.png] |image::benchmarks-flat_map/clang-x86/Scattered%20successful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x86/Scattered%20successful%20looukp.xlsx.plot.png] |image::benchmarks-flat_map/clang-x86/Scattered%20unsuccessful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/clang-x86/Scattered%20unsuccessful%20looukp.xlsx.plot.png] h|running insertion h|running erasure h|successful lookup h|unsuccessful lookup |=== === Visual Studio 2022, x86 [caption=] [cols="4*^.^a", frame=all, grid=all] |=== |image::benchmarks-flat_map/vs-x86/Running%20insertion.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x86/Running%20insertion.xlsx.plot.png] |image::benchmarks-flat_map/vs-x86/Running%20erasure.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x86/Running%20erasure.xlsx.plot.png] |image::benchmarks-flat_map/vs-x86/Scattered%20successful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x86/Scattered%20successful%20looukp.xlsx.plot.png] |image::benchmarks-flat_map/vs-x86/Scattered%20unsuccessful%20looukp.xlsx.plot.png[width=250,window=_blank,link=../diagrams/benchmarks-flat_map/vs-x86/Scattered%20unsuccessful%20looukp.xlsx.plot.png] h|running insertion h|running erasure h|successful lookup h|unsuccessful lookup |=== == boost::concurrent_flat_map All benchmarks were created using: * `https://spec.oneapi.io/versions/latest/elements/oneTBB/source/containers/concurrent_hash_map_cls.html[oneapi::tbb::concurrent_hash_map^]` * `https://github.com/greg7mdp/gtl/blob/main/docs/phmap.md[gtl::parallel_flat_hash_map^]` with 64 submaps * `boost::concurrent_flat_map` The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_concurrent_flat_map[found here^]. 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. === GCC 12, x64 [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.01.png] |image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.5.png] |image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.99.png] 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 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.01.png] |image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.5.png] |image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.99.png] h|5M updates, 45M lookups + skew=0.01 h|5M updates, 45M lookups + skew=0.5 h|5M updates, 45M lookups + skew=0.99 |=== === Clang 15, x64 [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.01.png] |image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.5.png] |image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.99.png] 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 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.01.png] |image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.5.png] |image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.99.png] h|5M updates, 45M lookups + skew=0.01 h|5M updates, 45M lookups + skew=0.5 h|5M updates, 45M lookups + skew=0.99 |=== === Visual Studio 2022, x64 [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.01.png] |image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.5.png] |image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.99.png] 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 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.01.png] |image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.5.png] |image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.99.png] h|5M updates, 45M lookups + skew=0.01 h|5M updates, 45M lookups + skew=0.5 h|5M updates, 45M lookups + skew=0.99 |=== === Clang 12, ARM64 [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.01.png] |image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.5.png] |image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.99.png] 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 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.01.png] |image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.5.png] |image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.99.png] h|5M updates, 45M lookups + skew=0.01 h|5M updates, 45M lookups + skew=0.5 h|5M updates, 45M lookups + skew=0.99 |=== === GCC 12, x86 [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.01.png] |image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.5.png] |image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.99.png] 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 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.01.png] |image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.5.png] |image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.99.png] h|5M updates, 45M lookups + skew=0.01 h|5M updates, 45M lookups + skew=0.5 h|5M updates, 45M lookups + skew=0.99 |=== === Clang 15, x86 [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.01.png] |image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.5.png] |image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.99.png] 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 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.01.png] |image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.5.png] |image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.99.png] h|5M updates, 45M lookups + skew=0.01 h|5M updates, 45M lookups + skew=0.5 h|5M updates, 45M lookups + skew=0.99 |=== === Visual Studio 2022, x86 [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.01.png] |image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.5.png] |image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.99.png] 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 |=== [caption=] [cols="3*^.^a", frame=all, grid=all] |=== |image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.01.png] |image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.5.png] |image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.99.png] h|5M updates, 45M lookups + skew=0.01 h|5M updates, 45M lookups + skew=0.5 h|5M updates, 45M lookups + skew=0.99 |===