2 Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
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50 // Maintainer: phillicl
52 #include "TableAngleForceCompute.h"
53 #include "TableAngleForceGPU.cuh"
54 #include "Autotuner.h"
56 /*! \file TableAngleForceComputeGPU.h
57 \brief Declares the TableAngleForceComputeGPU class
61 #error This header cannot be compiled by nvcc
64 #ifndef __TABLEANGLEFORCECOMPUTEGPU_H__
65 #define __TABLEANGLEFORCECOMPUTEGPU_H__
67 //! Compute table based bond potentials on the GPU
68 /*! Calculates exactly the same thing as TableAngleForceCompute, but on the GPU
70 The GPU kernel for calculating this can be found in TableAngleForceComputeGPU.cu/
73 class TableAngleForceComputeGPU
: public TableAngleForceCompute
76 //! Constructs the compute
77 TableAngleForceComputeGPU(boost::shared_ptr
<SystemDefinition
> sysdef
,
78 unsigned int table_width
,
79 const std::string
& log_suffix
="");
82 virtual ~TableAngleForceComputeGPU() { }
84 //! Set autotuner parameters
85 /*! \param enable Enable/disable autotuning
86 \param period period (approximate) in time steps when returning occurs
88 virtual void setAutotunerParams(bool enable
, unsigned int period
)
90 TableAngleForceCompute::setAutotunerParams(enable
, period
);
91 m_tuner
->setPeriod(period
);
92 m_tuner
->setEnabled(enable
);
96 boost::scoped_ptr
<Autotuner
> m_tuner
; //!< Autotuner for block size
97 GPUArray
<unsigned int> m_flags
; //!< Flags set during the kernel execution
99 //! Actually compute the forces
100 virtual void computeForces(unsigned int timestep
);
103 //! Exports the TableAngleForceComputeGPU class to python
104 void export_TableAngleForceComputeGPU();