/***************************************************************************
* RK2_GPU.h *
* ------------------- *
* copyright : (C) 2013 by Francisco Naveros *
* email : fnaveros@atc.ugr.es *
***************************************************************************/
/***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 3 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
#ifndef RK2_GPU_H_
#define RK2_GPU_H_
/*!
* \file RK2_GPU.h
*
* \author Francisco Naveros
* \date May 2013
*
* This file declares a class which implement a second order Runge-Kutta integration method in GPU (this class is stored
* in CPU memory and controles the allocation and deleting of GPU auxiliar memory). All integration
* methods in GPU are fixed step due to the parallel architecture of this one.
*/
#include "./IntegrationMethod_GPU.h"
/*!
* \class RK2_GPU
*
* \brief RK2 integration method in CPU for GPU.
*
* This class abstracts the initializacion in CPU of a second order Runge-Kutta integration methods for GPU. This CPU class
* controles the reservation and freeing of GPU auxiliar memory.
*
* \author Francisco Naveros
* \date May 2013
*/
class RK2_GPU: public IntegrationMethod_GPU{
public:
/*!
* \brief These vectors are used as auxiliar vectors.
*/
float * AuxNeuronState;
float * AuxNeuronState1;
float * AuxNeuronState2;
/*!
* \brief Constructor of the class with 3 parameter.
*
* It generates a new second order Runge-Kutta object.
*
* \param N_neuronStateVariables number of state variables for each cell.
* \param N_differentialNeuronState number of state variables witch are calculate with a differential equation for each cell.
* \param N_timeDependentNeuronState number of state variables witch ara calculate with a time dependent equation for each cell.
*/
RK2_GPU(int N_neuronStateVariables, int N_differentialNeuronState, int N_timeDependentNeuronState);
/*!
* \brief Class destructor.
*
* It destroys an object of this class.
*/
virtual ~RK2_GPU();
/*!
* \brief This method reserves all the necesary GPU memory (this memory could be reserved directly in the GPU, but this
* suppose some restriction in the amount of memory witch can be reserved).
*
* This method reserves all the necesary GPU memory (this memory could be reserved directly in the GPU, but this
* suppose some restriction in the amount of memory witch can be reserved).
*
* \param N_neurons Number of neurons.
* \param Total_N_thread Number of thread in GPU.
*/
void InitializeMemoryGPU(int N_neurons, int Total_N_thread);
};
#endif /* RK2_GPU_H_ */