detectors/aare
25
0
Fork 0
mirror of https://github.com/slsdetectorgroup/aare.git synced 2026-02-19 06:38:42 +01:00
Code Issues Actions Packages Releases Activity

Merge branch 'main' into dev/license

Browse Source
This commit is contained in:
mazzol_a
2025-11-21 14:52:54 +01:00
committed by GitHub
parent 5dbb969bcc 267ca87ab0
commit 6f7cb4ae30
49 changed files with 3253 additions and 1171 deletions
Download Patch File Download Diff File Expand all files Collapse all files

33
benchmarks/calculateeta_benchmark.cpp
View File

@@ -9,6 +9,7 @@ class ClusterFixture : public benchmark::Fixture {
public:
Cluster<int, 2, 2> cluster_2x2{};
Cluster<int, 3, 3> cluster_3x3{};
Cluster<int, 4, 4> cluster_4x4{};
private:
using benchmark::Fixture::SetUp;
@@ -27,6 +28,13 @@ class ClusterFixture : public benchmark::Fixture {
cluster_3x3.x = 0;
cluster_3x3.y = 0;
int temp_data3[16] = {1, 2, 3, 4, 5, 6, 7, 8,
9, 10, 11, 12, 13, 14, 15, 16};
std::copy(std::begin(temp_data3), std::end(temp_data3),
std::begin(cluster_4x4.data));
cluster_4x4.x = 0;
cluster_4x4.y = 0;
}
// void TearDown(::benchmark::State& state) {
@@ -68,4 +76,29 @@ BENCHMARK_F(ClusterFixture, CalculateGeneralEtaFor3x3Cluster)
benchmark::DoNotOptimize(eta);
}
}
BENCHMARK_F(ClusterFixture, Calculate2x2Etawithreduction)
(benchmark::State &st) {
for (auto _ : st) {
// This code gets timed
auto reduced_cluster = reduce_to_2x2(cluster_4x4);
Eta2 eta = calculate_eta2(reduced_cluster);
auto reduced_cluster_from_3x3 = reduce_to_2x2(cluster_3x3);
Eta2 eta2 = calculate_eta2(reduced_cluster_from_3x3);
benchmark::DoNotOptimize(eta);
benchmark::DoNotOptimize(eta2);
}
}
BENCHMARK_F(ClusterFixture, Calculate2x2Etawithoutreduction)
(benchmark::State &st) {
for (auto _ : st) {
// This code gets timed
Eta2 eta = calculate_eta2(cluster_4x4);
Eta2 eta2 = calculate_eta2(cluster_3x3);
benchmark::DoNotOptimize(eta);
benchmark::DoNotOptimize(eta2);
}
}
// BENCHMARK_MAIN();

8
benchmarks/reduce_benchmark.cpp
View File

@@ -34,8 +34,8 @@ class ClustersForReduceFixture : public benchmark::Fixture {
};
template <typename T>
Cluster<T, 3, 3, int16_t> reduce_to_3x3(const Cluster<T, 5, 5, int16_t> &c) {
Cluster<T, 3, 3, int16_t> result;
Cluster<T, 3, 3, uint16_t> reduce_to_3x3(const Cluster<T, 5, 5, uint16_t> &c) {
Cluster<T, 3, 3, uint16_t> result;
// Write out the sums in the hope that the compiler can optimize this
std::array<T, 9> sum_3x3_subclusters;
@@ -141,7 +141,7 @@ Cluster<T, 3, 3, int16_t> reduce_to_3x3(const Cluster<T, 5, 5, int16_t> &c) {
BENCHMARK_F(ClustersForReduceFixture, Reduce2x2)(benchmark::State &st) {
for (auto _ : st) {
// This code gets timed
benchmark::DoNotOptimize(reduce_to_2x2<int, 3, 3, int16_t>(
benchmark::DoNotOptimize(reduce_to_2x2<int, 3, 3, uint16_t>(
cluster_3x3)); // make sure compiler evaluates the expression
}
}
@@ -157,7 +157,7 @@ BENCHMARK_F(ClustersForReduceFixture, Reduce3x3)(benchmark::State &st) {
for (auto _ : st) {
// This code gets timed
benchmark::DoNotOptimize(
reduce_to_3x3<int, 5, 5, int16_t>(cluster_5x5));
reduce_to_3x3<int, 5, 5, uint16_t>(cluster_5x5));
}
}