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https://github.com/paboyle/Grid.git
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More NEON functionalities
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97afe4125f
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6
configure
vendored
6
configure
vendored
@ -6712,10 +6712,10 @@ $as_echo "#define AVX512 1" >>confdefs.h
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supported="cross compilation"
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;;
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NEONv7)
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echo Configuring for experimental ARMv7 support
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NEONv8)
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echo Configuring for experimental ARMv8a support
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$as_echo "#define NEONv7 1" >>confdefs.h
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$as_echo "#define NEONv8 1" >>confdefs.h
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supported="cross compilation"
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;;
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@ -3,7 +3,7 @@
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#
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# Project Grid package
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#
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# Time-stamp: <2015-06-09 15:26:39 neo>
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# Time-stamp: <2015-07-10 17:46:21 neo>
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AC_PREREQ([2.63])
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AC_INIT([Grid], [1.0], [paboyle@ph.ed.ac.uk])
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@ -106,9 +106,9 @@ case ${ac_SIMD} in
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AC_DEFINE([AVX512],[1],[AVX512 Intrinsics for Knights Corner] )
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supported="cross compilation"
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;;
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NEONv7)
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echo Configuring for experimental ARMv7 support
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AC_DEFINE([NEONv7],[1],[NEON ARMv7 Experimental support ] )
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NEONv8)
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echo Configuring for experimental ARMv8a support
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AC_DEFINE([NEONv8],[1],[NEON ARMv8 Experimental support ] )
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supported="cross compilation"
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;;
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DEBUG)
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@ -119,8 +119,8 @@
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/* Define to 1 if you have the <unistd.h> header file. */
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#undef HAVE_UNISTD_H
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/* NEON ARMv7 Experimental support */
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#undef NEONv7
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/* NEON ARMv8 Experimental support */
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#undef NEONv8
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/* Name of package */
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#undef PACKAGE
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@ -7,7 +7,7 @@ namespace Grid{
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////////////////////////////////////////////////////////////////////////
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// Wilson Gauge Action .. should I template the Nc etc..
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////////////////////////////////////////////////////////////////////////
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template<class GaugeField,class MatrixField>
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template<class GaugeField, class MatrixField>
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class WilsonGaugeAction : public Action<GaugeField> {
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private:
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RealD beta;
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@ -23,7 +23,6 @@ namespace Grid{
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return beta*(1.0 -plaq)*(Nd*(Nd-1.0))*vol*0.5;
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};
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virtual void deriv(const GaugeField &U,GaugeField & dSdU) {
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//not optimal implementation FIXME
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//extend Ta to include Lorentz indexes
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RealD factor = 0.5*beta/RealD(Nc);
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@ -7,7 +7,6 @@ namespace QCD {
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template<class GaugeMat,class GaugeLorentz>
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class WilsonLoops {
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public:
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//////////////////////////////////////////////////
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// directed plaquette oriented in mu,nu plane
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//////////////////////////////////////////////////
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@ -1,14 +1,16 @@
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//----------------------------------------------------------------------
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/*! @file Grid_sse4.h
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@brief Optimization libraries for NEON (ARM) instructions set ARMv7
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@brief Optimization libraries for NEON (ARM) instructions set ARMv8
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Experimental - Using intrinsics - DEVELOPING!
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*/
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// Time-stamp: <2015-06-09 15:25:40 neo>
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// Time-stamp: <2015-07-10 17:45:09 neo>
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//----------------------------------------------------------------------
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#include <arm_neon.h>
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// ARMv8 supports double precision
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namespace Optimization {
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template<class vtype>
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@ -22,50 +24,47 @@ namespace Optimization {
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float f[4];
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};
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union u128d {
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float32x4_t v;
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float f[4];
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float64x2_t v;
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double f[4];
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};
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struct Vsplat{
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//Complex float
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inline float32x4_t operator()(float a, float b){
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float32x4_t foo;
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return foo;
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float tmp[4]={a,b,a,b};
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return vld1q_f32(tmp);
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}
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// Real float
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inline float32x4_t operator()(float a){
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float32x4_t foo;
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return foo;
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return vld1q_dup_f32(&a);
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}
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//Complex double
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inline float32x4_t operator()(double a, double b){
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float32x4_t foo;
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return foo;
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float tmp[4]={(float)a,(float)b,(float)a,(float)b};
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return vld1q_f32(tmp);
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}
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//Real double
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inline float32x4_t operator()(double a){
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float32x4_t foo;
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return foo;
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return vld1q_dup_f32(&a);
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}
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//Integer
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inline uint32x4_t operator()(Integer a){
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uint32x4_t foo;
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return foo;
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return vld1q_dup_u32(&a);
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}
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};
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struct Vstore{
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//Float
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inline void operator()(float32x4_t a, float* F){
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vst1q_f32(F, a);
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}
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//Double
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inline void operator()(float32x4_t a, double* D){
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vst1q_f32((float*)D, a);
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}
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//Integer
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inline void operator()(uint32x4_t a, Integer* I){
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vst1q_u32(I, a);
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}
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};
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@ -130,36 +129,30 @@ namespace Optimization {
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struct Sum{
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//Complex/Real float
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inline float32x4_t operator()(float32x4_t a, float32x4_t b){
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float32x4_t foo;
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return foo;
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return vaddq_f32(a,b);
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}
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//Complex/Real double
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//inline float32x4_t operator()(float32x4_t a, float32x4_t b){
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// float32x4_t foo;
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// return foo;
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//}
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inline float64x2_t operator()(float64x2_t a, float64x2_t b){
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return vaddq_f64(a,b);
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}
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//Integer
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inline uint32x4_t operator()(uint32x4_t a, uint32x4_t b){
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uint32x4_t foo;
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return foo;
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return vaddq_u32(a,b);
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}
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};
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struct Sub{
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//Complex/Real float
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inline float32x4_t operator()(float32x4_t a, float32x4_t b){
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float32x4_t foo;
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return foo;
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return vsubq_f32(a,b);
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}
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//Complex/Real double
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//inline float32x4_t operator()(float32x4_t a, float32x4_t b){
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// float32x4_t foo;
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// return foo;
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//}
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inline float64x2_t operator()(float64x2_t a, float64x2_t b){
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return vsubq_f64(a,b);
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}
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//Integer
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inline uint32x4_t operator()(uint32x4_t a, uint32x4_t b){
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uint32x4_t foo;
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return foo;
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return vsubq_u32(a,b);
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}
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};
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@ -170,24 +163,24 @@ namespace Optimization {
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return foo;
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}
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// Complex double
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//inline float32x4_t operator()(float32x4_t a, float32x4_t b){
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// float32x4_t foo;
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// return foo;
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//}
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inline float64x2_t operator()(float64x2_t a, float64x2_t b){
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float32x4_t foo;
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return foo;
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}
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};
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struct Mult{
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// Real float
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inline float32x4_t operator()(float32x4_t a, float32x4_t b){
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return a;
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return vmulq_f32(a,b);
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}
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// Real double
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//inline float32x4_t operator()(float32x4_t a, float32x4_t b){
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// return 0;
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//}
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inline float64x2_t operator()(float64x2_t a, float64x2_t b){
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return vmulq_f64(a,b);
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}
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// Integer
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inline uint32x4_t operator()(uint32x4_t a, uint32x4_t b){
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return a;
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return vmulq_u32(a,b);
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}
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};
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@ -219,6 +212,7 @@ namespace Optimization {
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struct TimesI{
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//Complex single
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inline float32x4_t operator()(float32x4_t in, float32x4_t ret){
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//need shuffle
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return in;
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}
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//Complex double
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@ -242,20 +236,25 @@ namespace Optimization {
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//Real float Reduce
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template<>
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inline Grid::RealF Reduce<Grid::RealF, float32x4_t>::operator()(float32x4_t in){
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return 0;
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float32x2_t high = vget_high_f32(in);
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float32x2_t low = vget_low_f32(in);
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float32x2_t tmp = vadd_f32(low, high);
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float32x2_t sum = vpadd_f32(tmp, tmp);
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return vget_lane_f32(sum,0);
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}
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//Complex double Reduce
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template<>
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inline Grid::ComplexD Reduce<Grid::ComplexD, float32x4_t>::operator()(float32x4_t in){
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inline Grid::ComplexD Reduce<Grid::ComplexD, float64x2_t>::operator()(float64x2_t in){
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return 0;
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}
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//Real double Reduce
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template<>
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inline Grid::RealD Reduce<Grid::RealD, float32x4_t>::operator()(float32x4_t in){
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return 0;
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inline Grid::RealD Reduce<Grid::RealD, float64x2_t>::operator()(float64x2_t in){
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float64x2_t sum = vpaddq_f64(in, in);
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return vgetq_lane_f64(sum,0);
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}
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//Integer Reduce
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@ -272,7 +271,7 @@ namespace Optimization {
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namespace Grid {
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typedef float32x4_t SIMD_Ftype; // Single precision type
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typedef float32x4_t SIMD_Dtype; // Double precision type - no double on ARMv7
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typedef float64x2_t SIMD_Dtype; // Double precision type
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typedef uint32x4_t SIMD_Itype; // Integer type
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inline void v_prefetch0(int size, const char *ptr){}; // prefetch utilities
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/*! @file Grid_vector_types.h
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@brief Defines templated class Grid_simd to deal with inner vector types
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*/
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// Time-stamp: <2015-06-09 15:00:47 neo>
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// Time-stamp: <2015-07-10 17:45:33 neo>
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//---------------------------------------------------------------------------
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#ifndef GRID_VECTOR_TYPES
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#define GRID_VECTOR_TYPES
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@ -22,7 +22,7 @@
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#if defined QPX
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#include "Grid_qpx.h"
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#endif
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#ifdef NEONv7
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#ifdef NEONv8
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#include "Grid_neon.h"
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#endif
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3
scripts/arm_configure.experimental_cortex57
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3
scripts/arm_configure.experimental_cortex57
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#./configure --host=arm-linux-gnueabihf CXX=clang++-3.5 CXXFLAGS='-std=c++11 -O3 -target arm-linux-gnueabihf -I/usr/arm-linux-gnueabihf/include/ -I/home/neo/Codes/gmp6.0/gmp-arm/include/ -I/usr/lib/llvm-3.5/lib/clang/3.5.0/include/ -L/home/neo/Codes/gmp6.0/gmp-arm/lib/ -I/home/neo/Codes/mpfr3.1.2/mpfr-arm/include/ -L/home/neo/Codes/mpfr3.1.2/mpfr-arm/lib/ -static -mcpu=cortex-a57' --enable-simd=NEONv7
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./configure --host=aarch64-linux-gnu CXX=clang++-3.5 CXXFLAGS='-std=c++11 -O3 -target aarch64-linux-gnu -static -I/home/neo/Codes/gmp6.0/gmp-armv8/include/ -L/home/neo/Codes/gmp6.0/gmp-armv8/lib/ -I/home/neo/Codes/mpfr3.1.2/mpfr-armv8/include/ -L/home/neo/Codes/mpfr3.1.2/mpfr-armv8/lib/ -I/usr/aarch64-linux-gnu/include/ -I/usr/aarch64-linux-gnu/include/c++/4.8.2/aarch64-linux-gnu/' --enable-simd=NEONv7
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GridCartesian Fine(latt_size,simd_layout,mpi_layout);
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GridParallelRNG pRNG(&Fine);
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pRNG.SeedRandomDevice();
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LatticeLorentzColourMatrix U(&Fine);
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LatticeGaugeField U(&Fine);
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SU3::HotConfiguration(pRNG, U);
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// simplify template declaration? Strip the lorentz from the second template
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WilsonGaugeAction<LatticeLorentzColourMatrix, LatticeColourMatrix> Waction(6.0);
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WilsonGaugeAction<LatticeGaugeField, LatticeColourMatrix> Waction(6.0);
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//Collect actions
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ActionLevel Level1;
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// Insist that operations on random scalars gives
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// identical results to on vectors.
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std::cout << "==================================="<< std::endl;
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std::cout << "Testing vRealF "<<std::endl;
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std::cout << "==================================="<< std::endl;
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Tester<RealF,vRealF>(funcPlus());
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Tester<RealF,vRealF>(funcMinus());
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Tester<RealF,vRealF>(funcTimes());
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Tester<RealF,vRealF>(funcAdj());
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Tester<RealF,vRealF>(funcConj());
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Tester<RealF,vRealF>(funcInnerProduct());
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ReductionTester<RealF,RealF,vRealF>(funcReduce());
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std::cout << "==================================="<< std::endl;
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std::cout << "Testing vRealD "<<std::endl;
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std::cout << "==================================="<< std::endl;
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Tester<RealD,vRealD>(funcPlus());
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Tester<RealD,vRealD>(funcMinus());
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Tester<RealD,vRealD>(funcTimes());
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Tester<RealD,vRealD>(funcAdj());
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Tester<RealD,vRealD>(funcConj());
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Tester<RealD,vRealD>(funcInnerProduct());
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ReductionTester<RealD,RealD,vRealD>(funcReduce());
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std::cout << "==================================="<< std::endl;
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std::cout << "Testing vComplexF "<<std::endl;
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std::cout << "==================================="<< std::endl;
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Tester<ComplexD,vComplexD>(funcInnerProduct());
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ReductionTester<ComplexD,ComplexD,vComplexD>(funcReduce());
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std::cout << "==================================="<< std::endl;
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std::cout << "Testing vRealF "<<std::endl;
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std::cout << "==================================="<< std::endl;
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Tester<RealF,vRealF>(funcPlus());
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Tester<RealF,vRealF>(funcMinus());
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Tester<RealF,vRealF>(funcTimes());
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Tester<RealF,vRealF>(funcAdj());
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Tester<RealF,vRealF>(funcConj());
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Tester<RealF,vRealF>(funcInnerProduct());
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ReductionTester<RealF,RealF,vRealF>(funcReduce());
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std::cout << "==================================="<< std::endl;
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std::cout << "Testing vRealD "<<std::endl;
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std::cout << "==================================="<< std::endl;
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Tester<RealD,vRealD>(funcPlus());
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Tester<RealD,vRealD>(funcMinus());
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Tester<RealD,vRealD>(funcTimes());
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Tester<RealD,vRealD>(funcAdj());
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Tester<RealD,vRealD>(funcConj());
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Tester<RealD,vRealD>(funcInnerProduct());
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ReductionTester<RealD,RealD,vRealD>(funcReduce());
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Grid_finalize();
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}
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