double correlation_parallel(const VD& data1, const VD& data2)
{
if (data1.size() != data2.size())
return 0;
std::promise<corr_intermediate> sum1_promise;
std::future<corr_intermediate> sum1_future = sum1_promise.get_future();
std::thread sum1_thread(
correlation_parallel_helper,
data1.begin(), data1.end(),
std::move(sum1_promise));
std::promise<corr_intermediate> sum2_promise;
std::future<corr_intermediate> sum2_future = sum2_promise.get_future();
std::thread sum2_thread(
correlation_parallel_helper,
data2.begin(), data2.end(),
std::move(sum2_promise));
corr_intermediate itm1 = std::move(sum1_future.get());
corr_intermediate itm2 = std::move(sum2_future.get());
sum1_thread.join();
sum2_thread.join();
if (!itm1.stdev || !itm2.stdev)
return 0;
return std::inner_product(itm1.Y.constBegin(), itm1.Y.constEnd(), itm2.Y.constBegin(), 0);
}
void init(VD & t, int & n, PDD * p, PDD & a, PDD & b) {
t.clear();
double tmp;
for (int i = 0; i < n; ++i) {
scanf("%lf", &tmp);
t.PB(tmp);
}
std::sort(t.begin(), t.end());
t.erase(std::unique(t.begin(), t.end()), t.end());
n = t.size();
for (int i = 0; i < n; ++i) {
p[i] = at(a, b, t[i]);
}
}
void MLComputeTest::correlation_benchmark_parallel()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
correlation_parallel(data, data);
}
}
void MLComputeTest::correlation_benchmark_alternative()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
correlation_helper(data, data);
}
}
void MLComputeTest::stdev_benchmark()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
MLCompute::stdev(data);
}
}
void MLComputeTest::mean_benchmark_alternative()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
(void)(std::accumulate(data.constBegin(), data.constEnd(), 0) / data.size());
}
}
void MLComputeTest::dotProduct_benchmark_inner_product()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
std::inner_product(data.constBegin(), data.constEnd(), data.constBegin(), 0);
}
}
void MLComputeTest::dotProduct_benchmark_arrays()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
MLCompute::dotProduct(data.size(), data.data(), data.data());
}
}
void MLComputeTest::dotProduct_benchmark_vector()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
MLCompute::dotProduct(data, data);
}
}
void MLComputeTest::sum_benchmark_accumulate()
{
VD data;
data.resize(10000);
std::iota(data.begin(), data.end(), 1);
QBENCHMARK
{
std::accumulate(data.constBegin(), data.constEnd(), 0);
}
}
