Teuchos_ScalarTraitsCUDA.hpp

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#ifndef _TEUCHOS_SCALARTRAITS_CUDA_HPP_
#define _TEUCHOS_SCALARTRAITS_CUDA_HPP_

#include "Teuchos_ScalarTraitsDecl.hpp"

namespace Teuchos {

template<>
struct ScalarTraits<int>
{
  typedef int magnitudeType;
  typedef int halfPrecision;
  typedef int doublePrecision;
  static const bool isComplex = false;
  static const bool isOrdinal = true;
  static const bool isComparable = true;
  static const bool hasMachineParameters = false;
  static inline __device__ __host__ magnitudeType magnitude(int a) { return (int)fabsf((float)a); }
  static inline __device__ __host__ int zero()  { return 0; }
  static inline __device__ __host__ int one()   { return 1; }
  static inline __device__ __host__ int conjugate(int x) { return x; }
  static inline __device__ __host__ int real(int x) { return x; }
  static inline __device__ __host__ int imag(int)   { return 0; }
  static inline __device__ __host__ bool isnaninf(int) { return false; }
  static inline __device__ __host__ int squareroot(int x) { return (int)sqrtf((float)x); }          // perhaps this cast should be replaced by an explicit call like __float2int_rn
  static inline __device__ __host__ int pow(int x, int y) { return (int)powf((float)x,(float)y); }  // perhaps this cast should be replaced by an explicit call like __float2int_rn
};

template<>
struct ScalarTraits<long int>
{
  typedef long int magnitudeType;
  typedef long int halfPrecision;
  typedef long int doublePrecision;
  static const bool isComplex = false;
  static const bool isOrdinal = true;
  static const bool isComparable = true;
  static const bool hasMachineParameters = false;
  // Not defined: eps(), sfmin(), base(), prec(), t(), rnd(), emin(), rmin(), emax(), rmax()
  static inline __device__ __host__ magnitudeType magnitude(long int a) { return (long int)fabsf((float)a); }
  static inline __device__ __host__ long int zero()  { return 0; }
  static inline __device__ __host__ long int one()   { return 1; }
  static inline __device__ __host__ long int conjugate(long int x) { return x; }
  static inline __device__ __host__ long int real(long int x) { return x; }
  static inline __device__ __host__ long int imag(long int) { return 0; }
  static inline __device__ __host__ bool isnaninf(int) { return false; }
  static inline __device__ __host__ long int squareroot(long int x) { return (long int)sqrtf((float)x); }          // perhaps this cast should be replaced by an explicit call like __float2int_rn
  static inline __device__ __host__ long int pow(long int x, long int y) { return (long int)powf((float)x,(float)y); }  // perhaps this cast should be replaced by an explicit call like __float2int_rn
};

#ifdef HAVE_KOKKOSCLASSIC_CUDA_FLOAT
template<>
struct ScalarTraits<float>
{
  typedef float magnitudeType;
  typedef float halfPrecision; // should become IEEE754-2008 binary16 or fp16 later, perhaps specified at configure according to architectural support
#ifdef HAVE_KOKKOSCLASSIC_CUDA_DOUBLE
  typedef double doublePrecision;
#else
  typedef float  doublePrecision;
#endif
  static const bool isComplex = false;
  static const bool isOrdinal = false;
  static const bool isComparable = true;
  static const bool hasMachineParameters = false;
  static inline __device__ __host__ magnitudeType magnitude(float a) { return fabsf(a); }
  static inline __device__ __host__ float zero()  { return(0.0f); }
  static inline __device__ __host__ float one()   { return(1.0f); }    
  static inline __device__ __host__ float conjugate(float x)   { return(x); }    
  static inline __device__ __host__ float real(float x) { return x; }
  static inline __device__ __host__ float imag(float)   { return zero(); }
  static inline __device__ __host__ bool  isnaninf(float x) { return isnan(x) || isinf(x); }
  static inline __device__ __host__ float squareroot(float x) { return sqrtf(x); }
  static inline __device__ __host__ float pow(float x, float y) { return powf(x,y); }
};
#endif // HAVE_KOKKOSCLASSIC_CUDA_FLOAT

#ifdef HAVE_KOKKOSCLASSIC_CUDA_DOUBLE
template<>
struct ScalarTraits<double>
{
  typedef double magnitudeType;
#ifdef HAVE_KOKKOSCLASSIC_CUDA_FLOAT
  typedef float  halfPrecision;
#else
  typedef double halfPrecision;
#endif
  typedef double doublePrecision;
  static const bool isComplex = false;
  static const bool isOrdinal = false;
  static const bool isComparable = true;
  static const bool hasMachineParameters = false;
  static inline __device__ __host__ magnitudeType magnitude(double a) { return abs(a); }
  static inline __device__ __host__ double zero()  { return(0.0); }
  static inline __device__ __host__ double one()   { return(1.0); }    
  static inline __device__ __host__ double conjugate(double x)   { return(x); }    
  static inline __device__ __host__ double real(double x) { return x; }
  static inline __device__ __host__ double imag(double)   { return zero(); }
  static inline __device__ __host__ bool  isnaninf(double x) { return isnan(x) || isinf(x); }
  static inline __device__ __host__ double squareroot(double x) { return sqrt(x); }
  static inline __device__ __host__ double pow(double x, double y) { return pow(x,y); }
};
#endif // HAVE_KOKKOSCLASSIC_CUDA_DOUBLE

} // Teuchos namespace

#endif // _TEUCHOS_SCALARTRAITS_CUDA_HPP_