Added flowbench/README.md

This commit is contained in:
sfc-gh-tclinkenbeard 2020-08-04 14:53:19 -07:00
parent f79fbd0df6
commit a3c19bdf1b
4 changed files with 61 additions and 3 deletions

View File

@ -27,6 +27,7 @@ static void bench_random(benchmark::State& state) {
double r = deterministicRandom()->random01();
benchmark::DoNotOptimize(r);
}
state.SetItemsProcessed(static_cast<long>(state.iterations()));
}
BENCHMARK(bench_random)->ReportAggregatesOnly(true);

View File

@ -1,5 +1,5 @@
/*
* BenchStream.cpp
* BenchStream.actor.cpp
*
* This source file is part of the FoundationDB open source project
*

View File

@ -27,7 +27,7 @@ static void bench_timer(benchmark::State& state) {
double time = timer();
benchmark::DoNotOptimize(time);
}
state.SetItemsProcessed(items * static_cast<long>(state.iterations()));
state.SetItemsProcessed(static_cast<long>(state.iterations()));
}
static void bench_timer_monotonic(benchmark::State& state) {
@ -35,7 +35,7 @@ static void bench_timer_monotonic(benchmark::State& state) {
double time = timer_monotonic();
benchmark::DoNotOptimize(time);
}
state.SetItemsProcessed(items * static_cast<long>(state.iterations()));
state.SetItemsProcessed(static_cast<long>(state.iterations()));
}
BENCHMARK(bench_timer)->ReportAggregatesOnly(true);

57
flowbench/README.md Normal file
View File

@ -0,0 +1,57 @@
Summary
=======
`flowbench` is an executable that can be used to microbenchmark parts of the FoundationDB code. The goal is to make it easy to test the performance of various sub-millisecond operations using `flow` and `fdbrpc`. Specifically, this tool can be used to:
- Test the performance effects of changes to the actor compiler or to the `flow` and `fdbrpc` libraries
- Test the performance of various uses of the `flow` and `fdbrpc` libraries
- Find areas for improvement in the `flow` and `fdbrpc` libraries
- Compare `flow`/`fdbrpc` primitives to alternatives provided by the standard library or other third-party libraries.
Usage
=====
- To build the `flowbench` executable, add `-DBUILD_FLOWBENCH=ON` to your cmake command.
- Then you can run `bin/flowbench --help` to see possible uses of `flowbench`.
- Running `bin/flowbench` directly will run all registered benchmarks, but you may want to limit your run to a subset of benchmarks. This can be done by running `bin/flowbench --benchmark_filter=<regex>`
- All benchmark names can be listed with `bin/flowbench --benchmark_list_tests`
- Example output:
```
$ bin/flowbench --benchmark_filter=bench_ref
2020-08-04 21:49:40
Running bin/flowbench
Run on (7 X 2904 MHz CPU s)
CPU Caches:
L1 Data 32 KiB (x7)
L1 Instruction 32 KiB (x7)
L2 Unified 256 KiB (x7)
L3 Unified 12288 KiB (x1)
Load Average: 0.15, 0.15, 0.72
---------------------------------------------------------------------------------------------------------------
Benchmark Time CPU Iterations UserCounters...
---------------------------------------------------------------------------------------------------------------
bench_ref_create_and_destroy<RefType::RawPointer> 4.90 ns 4.90 ns 116822124 items_per_second=203.88M/s
bench_ref_create_and_destroy<RefType::UniquePointer> 4.94 ns 4.94 ns 141101924 items_per_second=202.555M/s
bench_ref_create_and_destroy<RefType::SharedPointer> 42.5 ns 42.5 ns 13802909 items_per_second=23.531M/s
bench_ref_create_and_destroy<RefType::FlowReference> 5.05 ns 5.05 ns 100000000 items_per_second=197.955M/s
bench_ref_copy<RefType::RawPointer> 1.15 ns 1.15 ns 612121585 items_per_second=871.218M/s
bench_ref_copy<RefType::SharedPointer> 10.0 ns 10.0 ns 67553102 items_per_second=99.8113M/s
bench_ref_copy<RefType::FlowReference> 2.33 ns 2.33 ns 292317474 items_per_second=428.507M/s
```
- More detailed documentation can be found at https://github.com/google/benchmark
Existing Benchmarks
===================
- `bench_populate` measures the population of a vector of mutations
- `bench_ref` compares the performance of the `flow` `Reference` type to other pointer types
- `bench_iterate` measures iteration over a list of mutations
- `bench_stream` measures the performance of writing to and reading from a `PromiseStream`
- `bench_random` measures the performance of `DeterministicRandom`.
- `bench_timer` measures the perforamnce of FoundationDB timers.
Future use cases
================
- Benchmark the overhead of sending and receiving messages through `FlowTransport`
- Benchmark the performance of serializing/deserializing various types