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Grid/Grid/simd/Grid_gpu_rrii.h
Peter Boyle 551a5f8dc8 RRII gpu option
2022-10-11 14:44:55 -04:00

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/simd/Grid_gpu.h
Copyright (C) 2021
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
//----------------------------------------------------------------------
/*! @file Grid_gpu_rrii.h*/
//----------------------------------------------------------------------
//////////////////////////////
// fp16
//////////////////////////////
#ifdef GRID_CUDA
#include <cuda_fp16.h>
#endif
#ifdef GRID_HIP
#include <hip/hip_fp16.h>
#endif
#if !defined(GRID_HIP) && !defined(GRID_CUDA)
namespace Grid {
typedef struct { uint16_t x;} half;
}
#endif
namespace Grid {
accelerator_inline float half2float(half h)
{
float f;
#if defined(GRID_CUDA) || defined(GRID_HIP)
f = __half2float(h);
#else
Grid_half hh;
hh.x = h.x;
f= sfw_half_to_float(hh);
#endif
return f;
}
accelerator_inline half float2half(float f)
{
half h;
#if defined(GRID_CUDA) || defined(GRID_HIP)
h = __float2half(f);
#else
Grid_half hh = sfw_float_to_half(f);
h.x = hh.x;
#endif
return h;
}
}
#define COALESCE_GRANULARITY ( GEN_SIMD_WIDTH )
namespace Grid {
////////////////////////////////////////////////////////////////////////
// Real vector
////////////////////////////////////////////////////////////////////////
template<int _N, class _datum>
struct GpuVector {
_datum rrrr[_N];
static const int N = _N;
typedef _datum datum;
};
template<int N,class datum>
inline accelerator GpuVector<N,datum> operator*(const GpuVector<N,datum> l,const GpuVector<N,datum> r) {
GpuVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]*r.rrrr[i];
}
return ret;
}
template<int N,class datum>
inline accelerator GpuVector<N,datum> operator-(const GpuVector<N,datum> l,const GpuVector<N,datum> r) {
GpuVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]-r.rrrr[i];
}
return ret;
}
template<int N,class datum>
inline accelerator GpuVector<N,datum> operator+(const GpuVector<N,datum> l,const GpuVector<N,datum> r) {
GpuVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]+r.rrrr[i];
}
return ret;
}
template<int N,class datum>
inline accelerator GpuVector<N,datum> operator/(const GpuVector<N,datum> l,const GpuVector<N,datum> r) {
GpuVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]/r.rrrr[i];
}
return ret;
}
////////////////////////////////////////////////////////////////////////
// Complex vector
////////////////////////////////////////////////////////////////////////
template<int _N, class _datum>
struct GpuComplexVector {
_datum rrrr[_N];
_datum iiii[_N];
static const int N = _N;
typedef _datum datum;
};
template<int N,class datum>
inline accelerator GpuComplexVector<N,datum> operator*(const GpuComplexVector<N,datum> l,const GpuComplexVector<N,datum> r) {
GpuComplexVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]*r.rrrr[i] - l.iiii[i]*r.iiii[i];
ret.iiii[i] = l.rrrr[i]*r.iiii[i] + l.iiii[i]*r.rrrr[i];
}
return ret;
}
template<int N,class datum>
inline accelerator GpuComplexVector<N,datum> operator-(const GpuComplexVector<N,datum> l,const GpuComplexVector<N,datum> r) {
GpuComplexVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]-r.rrrr[i];
ret.iiii[i] = l.iiii[i]-r.iiii[i];
}
return ret;
}
template<int N,class datum>
inline accelerator GpuComplexVector<N,datum> operator+(const GpuComplexVector<N,datum> l,const GpuComplexVector<N,datum> r) {
GpuComplexVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]+r.rrrr[i];
ret.iiii[i] = l.iiii[i]+r.iiii[i];
}
return ret;
}
template<int N,class datum>
inline accelerator GpuComplexVector<N,datum> operator/(const GpuComplexVector<N,datum> l,const GpuComplexVector<N,datum> r) {
GpuComplexVector<N,datum> ret;
for(int i=0;i<N;i++) {
ret.rrrr[i] = l.rrrr[i]/r.rrrr[i];
ret.iiii[i] = l.iiii[i]/r.iiii[i];
}
return ret;
}
////////////////////////////////
// SIMD counts
////////////////////////////////
constexpr int NSIMD_RealH = COALESCE_GRANULARITY / sizeof(half);
constexpr int NSIMD_ComplexH = COALESCE_GRANULARITY / sizeof(half);
constexpr int NSIMD_RealF = COALESCE_GRANULARITY / sizeof(float);
constexpr int NSIMD_ComplexF = COALESCE_GRANULARITY / sizeof(float);
constexpr int NSIMD_RealD = COALESCE_GRANULARITY / sizeof(double);
constexpr int NSIMD_ComplexD = COALESCE_GRANULARITY / sizeof(double);
constexpr int NSIMD_Integer = COALESCE_GRANULARITY / sizeof(Integer);
typedef GpuVector<NSIMD_RealH , half > GpuVectorRH;
typedef GpuComplexVector<NSIMD_ComplexH, half > GpuVectorCH;
typedef GpuVector<NSIMD_RealF, float > GpuVectorRF;
typedef GpuComplexVector<NSIMD_ComplexF, float> GpuVectorCF;
typedef GpuVector<NSIMD_RealD, double > GpuVectorRD;
typedef GpuComplexVector<NSIMD_ComplexD,double> GpuVectorCD;
typedef GpuVector<NSIMD_Integer, Integer > GpuVectorI;
namespace Optimization {
struct Vsplat{
//Complex float
accelerator_inline GpuVectorCF operator()(float a, float b){
GpuVectorCF ret;
for(int i=0;i<GpuVectorCF::N;i++){
ret.rrrr[i] = typename GpuVectorCF::datum(a);
ret.iiii[i] = typename GpuVectorCF::datum(b);
}
return ret;
}
// Real float
accelerator_inline GpuVectorRF operator()(float a){
GpuVectorRF ret;
for(int i=0;i<GpuVectorRF::N;i++){
ret.rrrr[i] = typename GpuVectorRF::datum(a);
}
return ret;
}
//Complex double
accelerator_inline GpuVectorCD operator()(double a, double b){
GpuVectorCD ret;
for(int i=0;i<GpuVectorCD::N;i++){
ret.rrrr[i] = typename GpuVectorCD::datum(a);
ret.iiii[i] = typename GpuVectorCD::datum(b);
}
return ret;
}
//Real double
accelerator_inline GpuVectorRD operator()(double a){
GpuVectorRD ret;
for(int i=0;i<GpuVectorRD::N;i++){
ret.rrrr[i] = typename GpuVectorRD::datum(a);
}
return ret;
}
//Integer
accelerator_inline GpuVectorI operator()(Integer a){
GpuVectorI ret;
for(int i=0;i<GpuVectorI::N;i++){
ret.rrrr[i] = typename GpuVectorI::datum(a);
}
return ret;
}
};
struct Vstore{
template<int N,class datum,class P>
accelerator_inline void operator()(GpuVector<N,datum> a, P* Fp){
GpuVector<N,datum> *vF = (GpuVector<N,datum> *)Fp;
*vF = a;
}
template<int N,class datum,class P>
accelerator_inline void operator()(GpuComplexVector<N,datum> a, P* Fp){
GpuComplexVector<N,datum> *vF = (GpuComplexVector<N,datum> *)Fp;
*vF = a;
}
};
struct Vstream{
template<int N,class datum, class P>
accelerator_inline void operator()(P* F,GpuVector<N,datum> a){
GpuVector<N,datum> *vF = (GpuVector<N,datum> *)F;
*vF = a;
}
template<int N,class datum, class P>
accelerator_inline void operator()(P* F,GpuComplexVector<N,datum> a){
GpuComplexVector<N,datum> *vF = (GpuComplexVector<N,datum> *)F;
*vF = a;
}
};
struct Vset{
// Complex float
accelerator_inline GpuVectorCF operator()(Grid::ComplexF *a){
typedef GpuVectorCF vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = vec::datum(a[i].real());
ret.iiii[i] = vec::datum(a[i].imag());
}
return ret;
}
// Complex double
accelerator_inline GpuVectorCD operator()(Grid::ComplexD *a){
typedef GpuVectorCD vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = vec::datum(a[i].real());
ret.iiii[i] = vec::datum(a[i].imag());
}
return ret;
}
// Real float
accelerator_inline GpuVectorRF operator()(float *a){
typedef GpuVectorRF vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = vec::datum(a[i]);
}
return ret;
}
// Real double
accelerator_inline GpuVectorRD operator()(double *a){
typedef GpuVectorRD vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = vec::datum(a[i]);
}
return ret;
}
// Integer
accelerator_inline GpuVectorI operator()(Integer *a){
typedef GpuVectorI vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = vec::datum(a[i]);
}
return ret;
}
};
template <typename Out_type, typename In_type>
struct Reduce{
//Need templated class to overload output type
//General form must generate error if compiled
accelerator_inline Out_type operator()(In_type in){
printf("Error, using wrong Reduce function\n");
exit(1);
return 0;
}
};
/////////////////////////////////////////////////////
// Arithmetic operations
/////////////////////////////////////////////////////
struct Sum{
//Real float
accelerator_inline GpuVectorRF operator()(GpuVectorRF a,GpuVectorRF b){
return a+b;
}
accelerator_inline GpuVectorRD operator()(GpuVectorRD a,GpuVectorRD b){
return a+b;
}
accelerator_inline GpuVectorCF operator()(GpuVectorCF a,GpuVectorCF b){
return a+b;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD a,GpuVectorCD b){
return a+b;
}
accelerator_inline GpuVectorI operator()(GpuVectorI a,GpuVectorI b){
return a+b;
}
};
struct Sub{
accelerator_inline GpuVectorRF operator()(GpuVectorRF a,GpuVectorRF b){
return a-b;
}
accelerator_inline GpuVectorRD operator()(GpuVectorRD a,GpuVectorRD b){
return a-b;
}
accelerator_inline GpuVectorCF operator()(GpuVectorCF a,GpuVectorCF b){
return a-b;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD a,GpuVectorCD b){
return a-b;
}
accelerator_inline GpuVectorI operator()(GpuVectorI a,GpuVectorI b){
return a-b;
}
};
struct MultRealPart{
accelerator_inline GpuVectorCF operator()(GpuVectorCF a,GpuVectorCF b){
typedef GpuVectorCF vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = a.rrrr[i]*b.rrrr[i];
ret.iiii[i] = a.rrrr[i]*b.iiii[i];
}
return ret;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD a,GpuVectorCD b){
typedef GpuVectorCD vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = a.rrrr[i]*b.rrrr[i];
ret.iiii[i] = a.rrrr[i]*b.iiii[i];
}
return ret;
}
};
struct MaddRealPart{
accelerator_inline GpuVectorCF operator()(GpuVectorCF a,GpuVectorCF b,GpuVectorCF c){
typedef GpuVectorCF vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = a.rrrr[i]*b.rrrr[i]+c.rrrr[i];
ret.iiii[i] = a.rrrr[i]*b.iiii[i]+c.iiii[i];
}
return ret;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD a,GpuVectorCD b,GpuVectorCD c){
typedef GpuVectorCD vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = a.rrrr[i]*b.rrrr[i]+c.rrrr[i];
ret.iiii[i] = a.rrrr[i]*b.iiii[i]+c.iiii[i];
}
return ret;
}
};
struct MultComplex{
accelerator_inline GpuVectorCF operator()(GpuVectorCF a,GpuVectorCF b){
return a*b;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD a,GpuVectorCD b){
return a*b;
}
};
struct Mult{
accelerator_inline void mac(GpuVectorRF &a, GpuVectorRF b, GpuVectorRF c){
a= a+b*c;
}
accelerator_inline void mac(GpuVectorRD &a, GpuVectorRD b, GpuVectorRD c){
a= a+b*c;
}
// Real float
accelerator_inline GpuVectorRF operator()(GpuVectorRF a, GpuVectorRF b){
return a*b;
}
// Real double
accelerator_inline GpuVectorRD operator()(GpuVectorRD a, GpuVectorRD b){
return a*b;
}
accelerator_inline GpuVectorI operator()(GpuVectorI a, GpuVectorI b){
return a*b;
}
};
struct Div{
// Real float
accelerator_inline GpuVectorRF operator()(GpuVectorRF a, GpuVectorRF b){
return a/b;
}
accelerator_inline GpuVectorRD operator()(GpuVectorRD a, GpuVectorRD b){
return a/b;
}
accelerator_inline GpuVectorI operator()(GpuVectorI a, GpuVectorI b){
return a/b;
}
// Danger -- element wise divide fro complex, not complex div.
// See Grid_vector_types.h lines around 735, applied after "toReal"
accelerator_inline GpuVectorCF operator()(GpuVectorCF a, GpuVectorCF b){
return a/b;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD a, GpuVectorCD b){
return a/b;
}
};
struct Conj{
// Complex single
accelerator_inline GpuVectorCF operator()(GpuVectorCF in){
typedef GpuVectorCF vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = in.rrrr[i];
ret.iiii[i] =-in.iiii[i];
}
return ret;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD in){
typedef GpuVectorCD vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = in.rrrr[i];
ret.iiii[i] =-in.iiii[i];
}
return ret;
}
};
struct TimesMinusI{
//Complex single
accelerator_inline GpuVectorCF operator()(GpuVectorCF in){
typedef GpuVectorCF vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = in.iiii[i];
ret.iiii[i] =-in.rrrr[i];
}
return ret;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD in){
typedef GpuVectorCD vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] = in.iiii[i];
ret.iiii[i] =-in.rrrr[i];
}
return ret;
}
};
struct TimesI{
//Complex single
accelerator_inline GpuVectorCF operator()(GpuVectorCF in){
typedef GpuVectorCF vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] =-in.iiii[i];
ret.iiii[i] = in.rrrr[i];
}
return ret;
}
accelerator_inline GpuVectorCD operator()(GpuVectorCD in){
typedef GpuVectorCD vec;
vec ret;
for(int i=0;i<vec::N;i++){
ret.rrrr[i] =-in.iiii[i];
ret.iiii[i] = in.rrrr[i];
}
return ret;
}
};
struct Permute{
template <int n,int _N, class _datum >
static accelerator_inline GpuVector<_N,_datum> PermuteN(GpuVector<_N,_datum> &in) {
typedef GpuVector<_N,_datum> vec;
vec out;
unsigned int _mask = vec::N >> (n + 1);
for(int i=0;i<vec::N;i++) {
out.rrrr[i] = in.rrrr[i^_mask];
}
return out;
}
template <int n,int _N, class _datum >
static accelerator_inline GpuComplexVector<_N,_datum> PermuteN(GpuComplexVector<_N,_datum> &in) {
typedef GpuComplexVector<_N,_datum> vec;
vec out;
unsigned int _mask = vec::N >> (n + 1);
for(int i=0;i<vec::N;i++) {
out.rrrr[i] = in.rrrr[i^_mask];
out.iiii[i] = in.iiii[i^_mask];
}
return out;
}
template <typename vec> static accelerator_inline vec Permute0(vec in) { return PermuteN<0,vec::N,typename vec::datum>(in); }
template <typename vec> static accelerator_inline vec Permute1(vec in) { return PermuteN<1,vec::N,typename vec::datum>(in); }
template <typename vec> static accelerator_inline vec Permute2(vec in) { return PermuteN<2,vec::N,typename vec::datum>(in); }
template <typename vec> static accelerator_inline vec Permute3(vec in) { return PermuteN<3,vec::N,typename vec::datum>(in); }
};
struct PrecisionChange {
////////////////////////////////////////////////////////////////////////////////////
// Single / Half
////////////////////////////////////////////////////////////////////////////////////
static accelerator_inline GpuVectorCH StoH (GpuVectorCF a,GpuVectorCF b) {
int N = GpuVectorCF::N;
GpuVectorCH h;
for(int i=0;i<N;i++) {
h.rrrr[i ] = float2half(a.rrrr[i]);
h.iiii[i ] = float2half(a.iiii[i]);
h.rrrr[i+N] = float2half(b.rrrr[i]);
h.iiii[i+N] = float2half(b.iiii[i]);
}
return h;
}
static accelerator_inline void HtoS (GpuVectorCH h,GpuVectorCF &sa,GpuVectorCF &sb) {
int N = GpuVectorCF::N;
for(int i=0;i<N;i++) {
sa.rrrr[i] = half2float(h.rrrr[i ]);
sa.iiii[i] = half2float(h.iiii[i ]);
sb.rrrr[i] = half2float(h.rrrr[i+N]);
sb.iiii[i] = half2float(h.iiii[i+N]);
}
}
static accelerator_inline GpuVectorRH StoH (GpuVectorRF a,GpuVectorRF b) {
int N = GpuVectorRF::N;
GpuVectorRH h;
for(int i=0;i<N;i++) {
h.rrrr[i ] = float2half(a.rrrr[i]);
h.rrrr[i+N] = float2half(b.rrrr[i]);
}
return h;
}
static accelerator_inline void HtoS (GpuVectorRH h,GpuVectorRF &sa,GpuVectorRF &sb) {
int N = GpuVectorRF::N;
for(int i=0;i<N;i++) {
sa.rrrr[i] = half2float(h.rrrr[i ]);
sb.rrrr[i] = half2float(h.rrrr[i+N]);
}
}
////////////////////////////////////////////////////////////////////////////////////
// Double Single
////////////////////////////////////////////////////////////////////////////////////
static accelerator_inline GpuVectorCF DtoS (GpuVectorCD a,GpuVectorCD b) {
int N = GpuVectorCD::N;
GpuVectorCF h;
for(int i=0;i<N;i++) {
h.rrrr[i ] = a.rrrr[i];
h.iiii[i ] = a.iiii[i];
h.rrrr[i+N] = b.rrrr[i];
h.iiii[i+N] = b.iiii[i];
}
return h;
}
static accelerator_inline void StoD (GpuVectorCF h,GpuVectorCD &sa,GpuVectorCD &sb) {
int N = GpuVectorCD::N;
for(int i=0;i<N;i++) {
sa.rrrr[i] = h.rrrr[i ];
sa.iiii[i] = h.iiii[i ];
sb.rrrr[i] = h.rrrr[i+N];
sb.iiii[i] = h.iiii[i+N];
}
}
static accelerator_inline GpuVectorRF DtoS (GpuVectorRD a,GpuVectorRD b) {
int N = GpuVectorRD::N;
GpuVectorRF h;
for(int i=0;i<N;i++) {
h.rrrr[i ] = a.rrrr[i];
h.rrrr[i+N] = b.rrrr[i];
}
return h;
}
static accelerator_inline void StoD (GpuVectorRF h,GpuVectorRD &sa,GpuVectorRD &sb) {
int N = GpuVectorRD::N;
for(int i=0;i<N;i++) {
sa.rrrr[i] = h.rrrr[i ];
sb.rrrr[i] = h.rrrr[i+N];
}
}
////////////////////////////////////////////////////////////////////////////////////
// Double Half
////////////////////////////////////////////////////////////////////////////////////
static accelerator_inline GpuVectorCH DtoH (GpuVectorCD a,GpuVectorCD b,GpuVectorCD c,GpuVectorCD d) {
GpuVectorCF sa,sb;
sa = DtoS(a,b);
sb = DtoS(c,d);
return StoH(sa,sb);
}
static accelerator_inline void HtoD (GpuVectorCH h,GpuVectorCD &a,GpuVectorCD &b,GpuVectorCD &c,GpuVectorCD &d) {
GpuVectorCF sa,sb;
HtoS(h,sa,sb);
StoD(sa,a,b);
StoD(sb,c,d);
}
static accelerator_inline GpuVectorRH DtoH (GpuVectorRD a,GpuVectorRD b,GpuVectorRD c,GpuVectorRD d) {
GpuVectorRF sa,sb;
sa = DtoS(a,b);
sb = DtoS(c,d);
return StoH(sa,sb);
}
static accelerator_inline void HtoD (GpuVectorRH h,GpuVectorRD &a,GpuVectorRD &b,GpuVectorRD &c,GpuVectorRD &d) {
GpuVectorRF sa,sb;
HtoS(h,sa,sb);
StoD(sa,a,b);
StoD(sb,c,d);
}
};
struct Exchange{
template <int n,int _N, class _datum >
static accelerator_inline void ExchangeN(GpuVector<_N,_datum> &out1,
GpuVector<_N,_datum> &out2,
GpuVector<_N,_datum> &in1,
GpuVector<_N,_datum> &in2 )
{
typedef GpuVector<_N,_datum> vec;
unsigned int mask = vec::N >> (n + 1);
for(int i=0;i<vec::N;i++) {
int j1 = i&(~mask);
if ( (i&mask) == 0 ) { out1.rrrr[i]=in1.rrrr[j1];}
else { out1.rrrr[i]=in2.rrrr[j1];}
int j2 = i|mask;
if ( (i&mask) == 0 ) { out2.rrrr[i]=in1.rrrr[j2];}
else { out2.rrrr[i]=in2.rrrr[j2];}
}
}
template <int n,int _N, class _datum >
static accelerator_inline void ExchangeN(GpuComplexVector<_N,_datum> &out1,
GpuComplexVector<_N,_datum> &out2,
GpuComplexVector<_N,_datum> &in1,
GpuComplexVector<_N,_datum> &in2 )
{
typedef GpuComplexVector<_N,_datum> vec;
unsigned int mask = vec::N >> (n + 1);
for(int i=0;i<vec::N;i++) {
int j1 = i&(~mask);
if ( (i&mask) == 0 ) {
out1.rrrr[i]=in1.rrrr[j1];
out1.iiii[i]=in1.iiii[j1];
}
else {
out1.rrrr[i]=in2.rrrr[j1];
out1.iiii[i]=in2.iiii[j1];
}
int j2 = i|mask;
if ( (i&mask) == 0 ) {
out2.rrrr[i]=in1.rrrr[j2];
out2.iiii[i]=in1.iiii[j2];
}
else {
out2.rrrr[i]=in2.rrrr[j2];
out2.iiii[i]=in2.iiii[j2];
}
}
}
template <typename vec>
static accelerator_inline void Exchange0(vec &out1,vec &out2,vec &in1,vec &in2){
ExchangeN<0>(out1,out2,in1,in2);
};
template <typename vec>
static accelerator_inline void Exchange1(vec &out1,vec &out2,vec &in1,vec &in2){
ExchangeN<1>(out1,out2,in1,in2);
};
template <typename vec>
static accelerator_inline void Exchange2(vec &out1,vec &out2,vec &in1,vec &in2){
ExchangeN<2>(out1,out2,in1,in2);
};
template <typename vec>
static accelerator_inline void Exchange3(vec &out1,vec &out2,vec &in1,vec &in2){
ExchangeN<3>(out1,out2,in1,in2);
};
};
struct Rotate{
template <int n, typename vec> static accelerator_inline vec tRotate(vec in){
return rotate(in, n);
}
template <int _N, class _datum >
static accelerator_inline GpuComplexVector<_N,_datum> rotate_template(GpuComplexVector<_N,_datum> &in, int n)
{
typedef GpuComplexVector<_N,_datum> vec;
vec out;
for(int i=0;i<vec::N;i++){
out.rrrr[i] = in.rrrr[(i + n)%vec::N];
out.iiii[i] = in.iiii[(i + n)%vec::N];
}
return out;
}
template <int _N, class _datum >
static accelerator_inline GpuVector<_N,_datum> rotate_template(GpuVector<_N,_datum> &in, int n)
{
typedef GpuVector<_N,_datum> vec;
vec out;
for(int i=0;i<vec::N;i++){
out.rrrr[i] = in.rrrr[(i + n)%vec::N];
}
return out;
}
typedef GpuVectorRH SIMD_Htype; // Single precision type
typedef GpuVectorRF SIMD_Ftype; // Single precision type
typedef GpuVectorRD SIMD_Dtype; // Double precision type
typedef GpuVectorI SIMD_Itype; // Integer type
typedef GpuVectorCH SIMD_CHtype; // Single precision type
typedef GpuVectorCF SIMD_CFtype; // Single precision type
typedef GpuVectorCD SIMD_CDtype; // Double precision type
static accelerator_inline GpuVectorRH rotate(GpuVectorRH in, int n){ return rotate_template(in,n);}
static accelerator_inline GpuVectorRF rotate(GpuVectorRF in, int n){ return rotate_template(in,n);}
static accelerator_inline GpuVectorRD rotate(GpuVectorRD in, int n){ return rotate_template(in,n);}
static accelerator_inline GpuVectorI rotate(GpuVectorI in, int n){ return rotate_template(in,n);}
static accelerator_inline GpuVectorCH rotate(GpuVectorCH in, int n){ return rotate_template(in,n/2);} // Measure in complex not float
static accelerator_inline GpuVectorCF rotate(GpuVectorCF in, int n){ return rotate_template(in,n/2);}
static accelerator_inline GpuVectorCD rotate(GpuVectorCD in, int n){ return rotate_template(in,n/2);}
};
//////////////////////////////////////////////
// Some Template specialization
//Complex float Reduce
template<>
accelerator_inline Grid::ComplexF
Reduce<Grid::ComplexF, GpuVectorCF>::operator()(GpuVectorCF in)
{
Grid::ComplexF greduce(in.rrrr[0],in.iiii[0]);
for(int i=1;i<GpuVectorCF::N;i++) {
greduce = greduce+Grid::ComplexF(in.rrrr[i],in.iiii[i]);
}
return greduce;
}
template<>
accelerator_inline Grid::ComplexD
Reduce<Grid::ComplexD, GpuVectorCD>::operator()(GpuVectorCD in)
{
Grid::ComplexD greduce(in.rrrr[0],in.iiii[0]);
for(int i=1;i<GpuVectorCD::N;i++) {
greduce = greduce+ Grid::ComplexD(in.rrrr[i],in.iiii[i]);
}
return greduce;
}
// Real
template<>
accelerator_inline Grid::RealF
Reduce<RealF, GpuVectorRF>::operator()(GpuVectorRF in)
{
RealF ret = in.rrrr[0];
for(int i=1;i<GpuVectorRF::N;i++) {
ret = ret+in.rrrr[i];
}
return ret;
}
template<>
accelerator_inline Grid::RealD
Reduce<RealD, GpuVectorRD>::operator()(GpuVectorRD in)
{
RealD ret = in.rrrr[0];
for(int i=1;i<GpuVectorRD::N;i++) {
ret = ret+in.rrrr[i];
}
return ret;
}
template<>
accelerator_inline Integer
Reduce<Integer, GpuVectorI>::operator()(GpuVectorI in)
{
Integer ret = in.rrrr[0];
for(int i=1;i<GpuVectorI::N;i++) {
ret = ret+in.rrrr[i];
}
return ret;
}
}// End optimizatoin
//////////////////////////////////////////////////////////////////////////////////////
// Here assign types
//////////////////////////////////////////////////////////////////////////////////////
typedef GpuVectorRH SIMD_Htype; // Single precision type
typedef GpuVectorRF SIMD_Ftype; // Single precision type
typedef GpuVectorRD SIMD_Dtype; // Double precision type
typedef GpuVectorI SIMD_Itype; // Integer type
typedef GpuVectorCH SIMD_CHtype; // Single precision type
typedef GpuVectorCF SIMD_CFtype; // Single precision type
typedef GpuVectorCD SIMD_CDtype; // Double precision type
// prefetch utilities
accelerator_inline void v_prefetch0(int size, const char *ptr){};
accelerator_inline void prefetch_HINT_T0(const char *ptr){};
// Function name aliases
typedef Optimization::Vsplat VsplatSIMD;
typedef Optimization::Vstore VstoreSIMD;
typedef Optimization::Vset VsetSIMD;
typedef Optimization::Vstream VstreamSIMD;
template <typename S, typename T> using ReduceSIMD = Optimization::Reduce<S,T>;
// Arithmetic operations
typedef Optimization::Sum SumSIMD;
typedef Optimization::Sub SubSIMD;
typedef Optimization::Div DivSIMD;
typedef Optimization::Mult MultSIMD;
typedef Optimization::MultComplex MultComplexSIMD;
typedef Optimization::MultRealPart MultRealPartSIMD;
typedef Optimization::MaddRealPart MaddRealPartSIMD;
typedef Optimization::Conj ConjSIMD;
typedef Optimization::TimesMinusI TimesMinusISIMD;
typedef Optimization::TimesI TimesISIMD;
}
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