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Documentation of basic use of DenseRange. (#855)
Documentation of basic use of `DenseRange` was added to README.md.
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AUTHORS
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AUTHORS
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@ -44,6 +44,7 @@ Ori Livneh <ori.livneh@gmail.com>
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Paul Redmond <paul.redmond@gmail.com>
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Radoslav Yovchev <radoslav.tm@gmail.com>
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Roman Lebedev <lebedev.ri@gmail.com>
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Sayan Bhattacharjee <aero.sayan@gmail.com>
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Shuo Chen <chenshuo@chenshuo.com>
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Steinar H. Gunderson <sgunderson@bigfoot.com>
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Stripe, Inc.
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@ -65,6 +65,7 @@ Raul Marin <rmrodriguez@cartodb.com>
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Ray Glover <ray.glover@uk.ibm.com>
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Robert Guo <robert.guo@mongodb.com>
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Roman Lebedev <lebedev.ri@gmail.com>
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Sayan Bhattacharjee <aero.sayan@gmail.com>
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Shuo Chen <chenshuo@chenshuo.com>
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Tobias Ulvgård <tobias.ulvgard@dirac.se>
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Tom Madams <tom.ej.madams@gmail.com> <tmadams@google.com>
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README.md
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README.md
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@ -422,6 +422,22 @@ BENCHMARK(BM_memcpy)->RangeMultiplier(2)->Range(8, 8<<10);
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```
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Now arguments generated are [ 8, 16, 32, 64, 128, 256, 512, 1024, 2k, 4k, 8k ].
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The preceding code shows a method of defining a sparse range. The following
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example shows a method of defining a dense range. It is then used to benchmark
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the performance of `std::vector` initialization for uniformly increasing sizes.
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```c++
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static void BM_DenseRange(benchmark::State& state) {
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for(auto _ : state) {
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std::vector<int> v(state.range(0), state.range(0));
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benchmark::DoNotOptimize(v.data());
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benchmark::ClobberMemory();
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}
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}
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BENCHMARK(BM_DenseRange)->DenseRange(0, 1024, 128);
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```
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Now arguments generated are [ 0, 128, 256, 384, 512, 640, 768, 896, 1024 ].
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You might have a benchmark that depends on two or more inputs. For example, the
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following code defines a family of benchmarks for measuring the speed of set
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insertion.
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