Commit b582b079 authored by Allison Vacanti's avatar Allison Vacanti

Modify Benchmarker to expose samples and reduce iterations.

parent d0fa70de
......@@ -223,46 +223,82 @@ vtkm::Float64 MedianAbsDeviation(const std::vector<vtkm::Float64>& samples)
* in seconds, this lets us avoid including any per-run setup time in the benchmark.
* However any one-time setup should be done in the functor's constructor
*/
struct Benchmarker
class Benchmarker
{
const vtkm::Float64 MAX_RUNTIME;
const size_t MAX_ITERATIONS;
std::vector<vtkm::Float64> Samples;
std::string BenchmarkName;
Benchmarker()
: MAX_RUNTIME(30)
, MAX_ITERATIONS(500)
const vtkm::Float64 MaxRuntime;
const size_t MaxIterations;
public:
VTKM_CONT
Benchmarker(vtkm::Float64 maxRuntime = 30, std::size_t maxIterations = 100)
: MaxRuntime(maxRuntime)
, MaxIterations(maxIterations)
{
}
template <typename Functor>
VTKM_CONT void operator()(Functor func) const
VTKM_CONT void GatherSamples(Functor func)
{
std::vector<vtkm::Float64> samples;
this->Samples.clear();
this->BenchmarkName = func.Description();
// Do a warm-up run. If the benchmark allocates any additional memory
// eg. storage for output results, this will let it do that and
// allow us to avoid measuring the allocation time in the actual benchmark run
func();
samples.reserve(MAX_ITERATIONS);
this->Samples.reserve(this->MaxIterations);
// Run each benchmark for MAX_RUNTIME seconds or MAX_ITERATIONS iterations, whichever
// takes less time. This kind of assumes that running for 500 iterations or 1.5s will give
// takes less time. This kind of assumes that running for 500 iterations or 30s will give
// good statistics, but if median abs dev and/or std dev are too high both these limits
// could be increased
size_t iter = 0;
for (vtkm::Float64 elapsed = 0.0; elapsed < MAX_RUNTIME && iter < MAX_ITERATIONS;
elapsed += samples.back(), ++iter)
for (vtkm::Float64 elapsed = 0.0; elapsed < this->MaxRuntime && iter < this->MaxIterations;
elapsed += this->Samples.back(), ++iter)
{
samples.push_back(func());
this->Samples.push_back(func());
}
std::sort(samples.begin(), samples.end());
stats::Winsorize(samples, 5.0);
std::cout << "Benchmark \'" << func.Description() << "\' results:\n"
<< "\tmedian = " << stats::PercentileValue(samples, 50.0) << "s\n"
<< "\tmedian abs dev = " << stats::MedianAbsDeviation(samples) << "s\n"
<< "\tmean = " << stats::Mean(samples) << "s\n"
<< "\tstd dev = " << stats::StandardDeviation(samples) << "s\n"
<< "\tmin = " << samples.front() << "s\n"
<< "\tmax = " << samples.back() << "s\n";
std::sort(this->Samples.begin(), this->Samples.end());
stats::Winsorize(this->Samples, 5.0);
}
VTKM_CONT void PrintSummary(std::ostream& out = std::cout)
{
out << "Benchmark \'" << this->BenchmarkName << "\' results:\n";
if (this->Samples.empty())
{
out << "\tNo samples gathered!\n";
return;
}
out << "\tnumSamples = " << this->Samples.size() << "\n"
<< "\tmedian = " << stats::PercentileValue(this->Samples, 50.0) << "s\n"
<< "\tmedian abs dev = " << stats::MedianAbsDeviation(this->Samples) << "s\n"
<< "\tmean = " << stats::Mean(this->Samples) << "s\n"
<< "\tstd dev = " << stats::StandardDeviation(this->Samples) << "s\n"
<< "\tmin = " << this->Samples.front() << "s\n"
<< "\tmax = " << this->Samples.back() << "s\n";
}
template <typename Functor>
VTKM_CONT void operator()(Functor func)
{
this->GatherSamples(func);
this->PrintSummary();
}
VTKM_CONT const std::vector<vtkm::Float64>& GetSamples() const { return this->Samples; }
VTKM_CONT void Reset()
{
this->Samples.clear();
this->BenchmarkName.clear();
}
};
......
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