Added CUDA Acceleration with thrust library
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@ -68,7 +68,7 @@ PROJECT_LOGO =
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@ -11,6 +11,33 @@
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#include <exception>
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#include <type_traits>
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#ifdef USE_CUDA_ACCELERATION
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#include <cmath>
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#include <cfloat>
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include <device_launch_parameters.h>
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#include <thrust/host_vector.h>
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#include <thrust/device_vector.h>
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#include <thrust/sort.h>
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#include <thrust/reverse.h>
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#include <thrust/execution_policy.h>
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__global__ void Fitness(int lrgst_expo, int64_t* constants, int sizeOfCons, double* x_vals, double* ranks, int sizeOfSols, double y_val)
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{
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int idx = threadIdx.x + blockIdx.x * blockDim.x;
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if (idx < sizeOfSols)
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{
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double ans = 0;
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for (int i = lrgst_expo; i >= 0; i--)
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ans += constants[i] * pow(x_vals[idx], (lrgst_expo - i));
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ans -= y_val;
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ranks[idx] = (ans == 0) ? DBL_MAX : fabs(1 / ans);
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}
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}
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#endif
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namespace JRAMPERSAD
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{
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namespace EXPONENTIAL
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@ -66,6 +93,8 @@ namespace JRAMPERSAD
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return res;
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}
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#ifndef USE_CUDA_ACCELERATION
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// Genetic Algorithm helper struct
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struct GA_Solution
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{
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@ -86,6 +115,7 @@ namespace JRAMPERSAD
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rank = (ans == 0) ? DBL_MAX : ABS(1 / ans);
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}
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};
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#endif
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}
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using namespace detail;
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@ -504,6 +534,7 @@ namespace JRAMPERSAD
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return ans;
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}
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#ifndef USE_CUDA_ACCELERATION
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inline std::vector<double> Function::solve_x(const double& y_val, const GA_Options& options) const
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{
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try
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@ -522,12 +553,12 @@ namespace JRAMPERSAD
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solutions.resize(options.data_size);
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for (unsigned int i = 0; i < options.sample_size; i++)
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solutions[i] = (GA_Solution{lrgst_expo, 0, unif(device), y_val});
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solutions[i] = (GA_Solution{ lrgst_expo, 0, unif(device), y_val });
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for (unsigned int count = 0; count < options.num_of_generations; count++)
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{
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std::generate(std::execution::par, solutions.begin() + options.sample_size, solutions.end(), [this, &unif, &device, &y_val]() {
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return GA_Solution{lrgst_expo, 0, unif(device), y_val};
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return GA_Solution{ lrgst_expo, 0, unif(device), y_val };
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});
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@ -589,6 +620,67 @@ namespace JRAMPERSAD
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}
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return ans;
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}
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#else
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std::vector<double> Function::solve_x(const double& y_val, const GA_Options& options) const
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{
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// Create initial random solutions
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std::random_device device;
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std::uniform_real_distribution<double> unif(options.min_range, options.max_range);
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int64_t* cons = new int64_t[constants.size()];
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int64_t* d_cons;
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for (int i = 0; i < constants.size(); i++)
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cons[i] = constants[i];
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cudaMalloc(&d_cons, sizeof(int64_t) * constants.size());
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cudaMemcpy(d_cons, cons, sizeof(int64_t) * constants.size(), cudaMemcpyHostToDevice);
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thrust::host_vector<double> xVals(options.data_size);
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thrust::device_vector<double> d_xVals(options.data_size);
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thrust::device_vector<double> d_ranks(options.data_size);
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for (unsigned int i = 0; i < options.sample_size; i++)
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{
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xVals[i] = unif(device);
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}
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for (unsigned int count = 0; count < options.num_of_generations; count++)
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{
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for (unsigned int i = options.sample_size; i < options.data_size; i++)
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{
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xVals[i] = unif(device);
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}
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d_xVals = xVals;
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Fitness << <(options.data_size / 8192) + 1, 512 >> > (lrgst_expo, d_cons, (int)(constants.size()), d_xVals, d_ranks, options.data_size, y_val);
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thrust::sort_by_key(thrust::device, d_ranks.begin(), d_ranks.end(), d_xVals.begin());
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thrust::reverse(d_xVals.begin(), d_xVals.end());
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xVals = d_xVals;
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if (count + 1 == options.num_of_generations)
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{
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break;
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}
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std::uniform_real_distribution<double> m((1 - options.mutation_percentage), (1 + options.mutation_percentage));
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auto x_begin = &xVals[0];
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auto x_end = &xVals[options.sample_size - 1];
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std::for_each(x_begin, x_end, [&m, &device](auto& v) {
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v *= m(device);
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});
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}
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std::vector<double> ans;
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for (unsigned int i = 0; i < options.sample_size; i++)
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ans.push_back(xVals[i]);
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delete[] cons;
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cudaFree(d_cons);
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return ans;
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}
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#endif
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}
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<ClInclude Include="Timer.h">
|
||||
<Filter>Source Files</Filter>
|
||||
</ClInclude>
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="Source.cpp">
|
||||
<Filter>Source Files</Filter>
|
||||
</ClCompile>
|
||||
</ItemGroup>
|
||||
</Project>
|
||||
@ -1,102 +0,0 @@
|
||||
#include <iostream>
|
||||
#include <chrono>
|
||||
#include <thread>
|
||||
#include <mutex>
|
||||
#include "Exponential.h"
|
||||
#include "Timer.h"
|
||||
|
||||
using namespace JRAMPERSAD;
|
||||
|
||||
using EXPONENTIAL::Function;
|
||||
|
||||
typedef TIMER::Timer timer;
|
||||
|
||||
void CalcRoots(std::mutex& m, const Function& func, EXPONENTIAL::GA_Options options)
|
||||
{
|
||||
m.lock();
|
||||
std::cout << "Starting calculation...\n";
|
||||
m.unlock();
|
||||
|
||||
timer t;
|
||||
auto gr = func.get_real_roots(options);
|
||||
t.SetEnd();
|
||||
|
||||
m.lock();
|
||||
std::cout << "Time took to calculate approx root values: " << t.GetTimeInS() << "s\n";
|
||||
std::cout << "Approximate values of x where y = 0 are: \n";
|
||||
std::for_each(gr.begin(), gr.end(),
|
||||
[](const auto& val) {
|
||||
std::cout << "x:" << val << '\n';
|
||||
});
|
||||
m.unlock();
|
||||
}
|
||||
|
||||
void SolveX(std::mutex& m, const Function& func, EXPONENTIAL::GA_Options options, const double& y)
|
||||
{
|
||||
timer t;
|
||||
auto res = func.solve_x(y, options);
|
||||
t.SetEnd();
|
||||
|
||||
m.lock();
|
||||
std::cout << "Time took to calculate approx x values: " << t.GetTimeInS() << "s\n";
|
||||
std::cout << "Approximate values of x where y = " << y << " are: \n";
|
||||
std::for_each(res.begin(), res.end(),
|
||||
[](const auto& val) {
|
||||
std::cout << "x:" << val << '\n';
|
||||
});
|
||||
m.unlock();
|
||||
}
|
||||
|
||||
int main()
|
||||
{
|
||||
std::vector<int64_t> vec{ 1, 5, 4 };
|
||||
Function f{2};
|
||||
INITIALIZE_EXPO_FUNCTION(f, vec);
|
||||
Function g{3};
|
||||
INITIALIZE_EXPO_FUNCTION(g, { 1, -6, 11, -6 });
|
||||
|
||||
EXPONENTIAL::GA_Options options;
|
||||
options.mutation_percentage = 0.005;
|
||||
options.num_of_generations = 1;
|
||||
options.sample_size = 1;
|
||||
options.data_size = 2;
|
||||
options.min_range = 0.13;
|
||||
options.max_range = 0.14;
|
||||
|
||||
auto res = (f + g).get_real_roots(options);
|
||||
std::for_each(res.begin(), res.end(),
|
||||
[](const auto& val) {
|
||||
std::cout << "x:" << val << '\n';
|
||||
});
|
||||
|
||||
std::cout << (f + g) << " when x = 0.13056\n" << (f + g).solve_y(0.13056);
|
||||
|
||||
std::mutex m;
|
||||
//std::thread th(CalcRoots, std::ref(m), std::cref(g), options);
|
||||
//std::thread th1(SolveX, std::ref(m), std::cref(g), options, 5);
|
||||
//std::thread th2(SolveX, std::ref(m), std::cref(g), options, 23);
|
||||
|
||||
//CalcRoots(m, g);
|
||||
|
||||
m.lock();
|
||||
//std::cout << g << " when x = 4.961015\n" << "y = " << g.solve_y(4.961015) << "\n\n";
|
||||
//std::cout << g << " when x = 4.30891\n" << "y = " << g.solve_y(4.30891) << "\n\n";
|
||||
//std::cout << g << " when x = 2\n" << "y = " << g.solve_y(2) << "\n\n";
|
||||
//std::cout << g << " when x = 3\n" << "y = " << g.solve_y(3) << "\n\n";
|
||||
|
||||
//std::cout << "Median: " << MATH::MEDIAN(gr) << '\n';
|
||||
//std::cout << "Mean: " << MATH::MEAN(gr) << '\n';
|
||||
|
||||
//std::cout << "Calculating Roots for function f(x) = " << g << '\n';
|
||||
//std::cout << "The y-intercept of the function f(x) is " << g.solve_y(0) << '\n';
|
||||
//std::cout << "dy/dx of f(x) is " << g.differential() << '\n';
|
||||
//std::cout << "f(x) = " << f << std::endl;
|
||||
//std::cout << "g(x) = " << g << std::endl;
|
||||
//std::cout << "f(x) + g(x) = " << f + g << std::endl;
|
||||
m.unlock();
|
||||
|
||||
//th.join();
|
||||
//th1.join();
|
||||
//th2.join();
|
||||
return 0;
|
||||
}
|
||||
@ -1,42 +0,0 @@
|
||||
#pragma once
|
||||
#include <ostream>
|
||||
#include <chrono>
|
||||
|
||||
namespace TIMER{
|
||||
struct Timer
|
||||
{
|
||||
std::chrono::time_point<std::chrono::steady_clock> start, end;
|
||||
std::chrono::duration<float> duration;
|
||||
|
||||
Timer()
|
||||
{
|
||||
Reset();
|
||||
}
|
||||
|
||||
~Timer()
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
inline void Reset() noexcept
|
||||
{
|
||||
start = std::chrono::high_resolution_clock::now();
|
||||
}
|
||||
|
||||
void SetEnd() noexcept
|
||||
{
|
||||
end = std::chrono::high_resolution_clock::now();
|
||||
duration = end - start;
|
||||
}
|
||||
|
||||
inline float GetTimeInMS() const noexcept
|
||||
{
|
||||
return float(duration.count() * 1000.f);
|
||||
}
|
||||
|
||||
inline float GetTimeInS() const noexcept
|
||||
{
|
||||
return float(duration.count());
|
||||
}
|
||||
};
|
||||
}
|
||||
Reference in New Issue
Block a user