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DPS921/Franky

2,373 bytes added, 19:30, 25 November 2018
Single-thread
==Case-study==
===Single-thread===
 
====Code====
<source>
#include <cmath>
#include <iostream>
#include <random>
#include <chrono>
#include <fstream>
 
int main(int argc, char* argv[]) {
size_t N;
double learn_rate;
size_t epoches;
double correct_b = 1.0;
double correct_m = 0.5;
std::ofstream ofs("points.csv");
ofs << "x,y" << std::endl;
if (argc != 4) {
N = 1000;
learn_rate = 1.0e-3;
epoches = 5;
} else {
N = std::strtoul(argv[1], NULL, 10);
learn_rate = std::strtod(argv[2], NULL);
epoches = std::strtoul(argv[3], NULL,10);
std::cout << "N = " << N << ", learn_rate = " << learn_rate << ", epoches = " << epoches << std::endl;
}
std::chrono::steady_clock::time_point tStart, tStop;
tStart = std::chrono::steady_clock::now();
double* m_real = new double[N];
double* b_real = new double[N];
double* x = new double[N];
double* y = new double[N];
// setting up random generators
std::default_random_engine generator;
std::normal_distribution<double> m_dist(correct_m,0.2);
std::normal_distribution<double> b_dist(correct_b,0.2);
std::normal_distribution<double> x_dist(0.0,1);
 
// creating random dataset
for(size_t i = 0; i < N; i++) {
m_real[i] = m_dist(generator);
b_real[i] = b_dist(generator);
x[i] = x_dist(generator);
y[i] = m_real[i] * x[i] + b_real[i];
ofs<< x[i] << "," << y[i] << '\n';
}
ofs.close();
ofs.open("prediction.csv");
ofs << "m,b" << std::endl;
// estimated b, m
double b = 0;
double m = 0;
// gradient descent
for(size_t i = 0; i < epoches * N; i++) {
int idx = i % N;
double p = b+m * x[idx];
double err = p - y[idx];
b = b - learn_rate * err;
m = m - learn_rate * err * x[idx];
ofs << m << "," << b << '\n';
}
tStop = std::chrono::steady_clock::now();
auto ms = std::chrono::duration_cast<std::chrono::milliseconds>(tStop - tStart);
std::cout << "Execution Time: " << ms.count() << " milliseconds" << std::endl;
std::cout << "Predicted:\nb = " << b << ", m = " << m << std::endl;
std::cout << "Correct:\nb = " << correct_b << ", m = " << correct_m << std::endl;
std::cout << std::endl;
delete[] m_real;
delete[] b_real;
delete[] x;
delete[] y;
return 0;
}
}
</source>
====Performance====
 
===Optimized with DAAL===
====Code====
44
edits