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|
/*
Implementation of SIMD functionality for Apple Velocity Engine (AltiVec) with GCC compiler
added by T.Grill
*/
#include "m_pd.h"
#include "m_simd.h"
#if defined(__GNUC__) && defined(__POWERPC__) && defined(__ALTIVEC__)
//#define USEVECLIB
#ifdef USEVECLIB
#include <vecLib/vDSP.h>
#include <vecLib/vfp.h>
#endif
/* functions for unaligned vector data - taken from http://developer.apple.com/hardware/ve/alignment.html */
/* T.Grill - this first version _should_ work! but it doesn't... */
#if 0
#define LoadUnaligned(v) (vec_perm( vec_ld( 0, (const vector float *)(v) ), vec_ld( 16, (const vector float *)(v) ), vec_lvsl( 0, (float *) (v) ) ))
#else
/* instead take the slower second one */
static vector float LoadUnaligned(const float *v)
{
union tmpstruct { float f[4]; vector float vec; } tmp;
tmp.f[0] = *(float *)v;
return vec_splat(vec_ld(0,&tmp.vec),0);
}
#endif
#define IsVectorAligned(where) ((unsigned long)(where)&(sizeof(vector float)-1) == 0)
/*
#define LoadValue(where) (IsVectorAligned((void *)(where))?vec_splat(vec_ld(0,(vector float *)(where)),0):LoadUnaligned((vector float *)(where)))
*/
/* always assume unaligned */
#define LoadValue(where) LoadUnaligned((const float *)(where))
void zerovec_simd(t_float *dst,int n)
{
const vector float zero = (vector float)(0);
for(n >>= 4; n--; dst += 16) {
vec_st(zero, 0,dst);
vec_st(zero,16,dst);
vec_st(zero,32,dst);
vec_st(zero,48,dst);
}
}
void setvec_simd(t_float *dst,t_float v,int n)
{
const vector float arg = LoadValue(&v);
for(n >>= 4; n--; dst += 16) {
vec_st(arg, 0,dst);
vec_st(arg,16,dst);
vec_st(arg,32,dst);
vec_st(arg,48,dst);
}
}
void copyvec_simd(t_float *dst,const t_float *src,int n)
{
for(n >>= 4; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
}
void addvec_simd(t_float *dst,const t_float *src,int n)
{
#ifdef USEVECLIB
vadd(dst,1,src,1,dst,1,n);
#else
for(n >>= 4; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,dst),b1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,dst),b2 = vec_ld(16,src);
vector float a3 = vec_ld(32,dst),b3 = vec_ld(32,src);
vector float a4 = vec_ld(48,dst),b4 = vec_ld(48,src);
a1 = vec_add(a1,b1);
a2 = vec_add(a2,b2);
a3 = vec_add(a3,b3);
a4 = vec_add(a4,b4);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
#endif
}
/* no bad float testing for PPC! */
void testcopyvec_simd(t_float *dst,const t_float *src,int n)
{
copyvec_simd(dst,src,n);
}
void testaddvec_simd(t_float *dst,const t_float *src,int n)
{
addvec_simd(dst,src,n);
}
t_int *zero_perf_simd(t_int *w)
{
zerovec_simd((t_float *)w[1],w[2]);
return w+3;
}
t_int *copy_perf_simd(t_int *w)
{
copyvec_simd((t_float *)w[2],(const t_float *)w[1],w[3]);
return w+4;
}
t_int *sig_tilde_perf_simd(t_int *w)
{
setvec_simd((t_float *)w[2],*(const t_float *)w[1],w[3]);
return w+4;
}
t_int *plus_perf_simd(t_int *w)
{
#ifdef USEVECLIB
vadd((const t_float *)w[1],1,(const t_float *)w[2],1,(t_float *)w[3],1,w[4]);
#else
const t_float *src1 = (const t_float *)w[1];
const t_float *src2 = (const t_float *)w[2];
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src1 += 16,src2 += 16,dst += 16) {
vector float a1 = vec_ld( 0,src1),b1 = vec_ld( 0,src2);
vector float a2 = vec_ld(16,src1),b2 = vec_ld(16,src2);
vector float a3 = vec_ld(32,src1),b3 = vec_ld(32,src2);
vector float a4 = vec_ld(48,src1),b4 = vec_ld(48,src2);
a1 = vec_add(a1,b1);
a2 = vec_add(a2,b2);
a3 = vec_add(a3,b3);
a4 = vec_add(a4,b4);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
#endif
return w+5;
}
t_int *scalarplus_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
const vector float arg = LoadValue(w[2]);
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
a1 = vec_add(a1,arg);
a2 = vec_add(a2,arg);
a3 = vec_add(a3,arg);
a4 = vec_add(a4,arg);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
return w+5;
}
t_int *minus_perf_simd(t_int *w)
{
#if 0 //def USEVECLIB
/* vsub is buggy for some OSX versions! */
vsub((const t_float *)w[1],1,(const t_float *)w[2],1,(t_float *)w[3],1,w[4]);
#else
const t_float *src1 = (const t_float *)w[1];
const t_float *src2 = (const t_float *)w[2];
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src1 += 16,src2 += 16,dst += 16) {
vector float a1 = vec_ld( 0,src1),b1 = vec_ld( 0,src2);
vector float a2 = vec_ld(16,src1),b2 = vec_ld(16,src2);
vector float a3 = vec_ld(32,src1),b3 = vec_ld(32,src2);
vector float a4 = vec_ld(48,src1),b4 = vec_ld(48,src2);
a1 = vec_sub(a1,b1);
a2 = vec_sub(a2,b2);
a3 = vec_sub(a3,b3);
a4 = vec_sub(a4,b4);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
#endif
return w+5;
}
t_int *scalarminus_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
const vector float arg = LoadValue(w[2]);
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
a1 = vec_sub(a1,arg);
a2 = vec_sub(a2,arg);
a3 = vec_sub(a3,arg);
a4 = vec_sub(a4,arg);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
return w+5;
}
t_int *times_perf_simd(t_int *w)
{
#ifdef USEVECLIB
vmul((const t_float *)w[1],1,(const t_float *)w[2],1,(t_float *)w[3],1,w[4]);
#else
const t_float *src1 = (const t_float *)w[1];
const t_float *src2 = (const t_float *)w[2];
t_float *dst = (t_float *)w[3];
const vector float zero = (vector float)(0);
int n = w[4]>>4;
for(; n--; src1 += 16,src2 += 16,dst += 16) {
vector float a1 = vec_ld( 0,src1),b1 = vec_ld( 0,src2);
vector float a2 = vec_ld(16,src1),b2 = vec_ld(16,src2);
vector float a3 = vec_ld(32,src1),b3 = vec_ld(32,src2);
vector float a4 = vec_ld(48,src1),b4 = vec_ld(48,src2);
a1 = vec_madd(a1,b1,zero);
a2 = vec_madd(a2,b2,zero);
a3 = vec_madd(a3,b3,zero);
a4 = vec_madd(a4,b4,zero);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
#endif
return w+5;
}
t_int *scalartimes_perf_simd(t_int *w)
{
#ifdef USEVECLIB
vsmul((const t_float *)w[1],1,(t_float *)w[2],(t_float *)w[3],1,w[4]);
#else
const t_float *src = (const t_float *)w[1];
const vector float arg = LoadValue(w[2]);
t_float *dst = (t_float *)w[3];
const vector float zero = (vector float)(0);
int n = w[4]>>4;
for(; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
a1 = vec_madd(a1,arg,zero);
a2 = vec_madd(a2,arg,zero);
a3 = vec_madd(a3,arg,zero);
a4 = vec_madd(a4,arg,zero);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
#endif
return w+5;
}
t_int *sqr_perf_simd(t_int *w)
{
#ifdef USEVECLIB
vsq((const t_float *)w[1],1,(t_float *)w[2],1,w[3]);
#else
const t_float *src = (const t_float *)w[1];
t_float *dst = (t_float *)w[2];
const vector float zero = (vector float)(0);
int n = w[3]>>4;
for(; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
a1 = vec_madd(a1,a1,zero);
a2 = vec_madd(a2,a2,zero);
a3 = vec_madd(a3,a3,zero);
a4 = vec_madd(a4,a4,zero);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
#endif
return w+4;
}
t_int *over_perf_simd(t_int *w)
{
const t_float *src1 = (const t_float *)w[1];
const t_float *src2 = (const t_float *)w[2];
t_float *dst = (t_float *)w[3];
const vector float zero = (vector float)(0);
const vector float one = (vector float)(1);
int n = w[4]>>4;
for(; n--; src1 += 16,src2 += 16,dst += 16) {
#ifdef USEVECLIB
/* no zero checking here */
vec_st(vdivf(vec_ld( 0,src1),vec_ld( 0,src2)), 0,dst);
vec_st(vdivf(vec_ld(16,src1),vec_ld(16,src2)),16,dst);
vec_st(vdivf(vec_ld(32,src1),vec_ld(32,src2)),32,dst);
vec_st(vdivf(vec_ld(48,src1),vec_ld(48,src2)),48,dst);
#else
vector float data1 = vec_ld( 0,src2);
vector float data2 = vec_ld(16,src2);
vector float data3 = vec_ld(32,src2);
vector float data4 = vec_ld(48,src2);
vector unsigned char mask1 = vec_nor((vector unsigned char)vec_cmpeq(data1,zero),(vector unsigned char)zero); /* bit mask... all 0 for data = 0., all 1 else */
vector unsigned char mask2 = vec_nor((vector unsigned char)vec_cmpeq(data2,zero),(vector unsigned char)zero); /* bit mask... all 0 for data = 0., all 1 else */
vector unsigned char mask3 = vec_nor((vector unsigned char)vec_cmpeq(data3,zero),(vector unsigned char)zero); /* bit mask... all 0 for data = 0., all 1 else */
vector unsigned char mask4 = vec_nor((vector unsigned char)vec_cmpeq(data4,zero),(vector unsigned char)zero); /* bit mask... all 0 for data = 0., all 1 else */
/* make estimated reciprocal and zero out NANs */
vector float tmp1 = vec_re(data1);
vector float tmp2 = vec_re(data2);
vector float tmp3 = vec_re(data3);
vector float tmp4 = vec_re(data4);
tmp1 = (vector float)vec_and((vector unsigned char)tmp1,mask1);
tmp2 = (vector float)vec_and((vector unsigned char)tmp2,mask2);
tmp3 = (vector float)vec_and((vector unsigned char)tmp3,mask3);
tmp4 = (vector float)vec_and((vector unsigned char)tmp4,mask4);
data1 = vec_madd( vec_nmsub( tmp1, data1, one ), tmp1, tmp1 );
data2 = vec_madd( vec_nmsub( tmp2, data2, one ), tmp2, tmp2 );
data3 = vec_madd( vec_nmsub( tmp3, data3, one ), tmp3, tmp3 );
data4 = vec_madd( vec_nmsub( tmp4, data4, one ), tmp4, tmp4 );
tmp1 = vec_ld( 0,src1);
tmp2 = vec_ld(16,src1);
tmp3 = vec_ld(32,src1);
tmp4 = vec_ld(48,src1);
data1 = vec_madd(tmp1,data1,zero);
data2 = vec_madd(tmp2,data2,zero);
data3 = vec_madd(tmp3,data3,zero);
data4 = vec_madd(tmp4,data4,zero);
vec_st(data1, 0,dst);
vec_st(data2,16,dst);
vec_st(data3,32,dst);
vec_st(data4,48,dst);
#endif
}
return w+5;
}
t_int *scalarover_perf_simd(t_int *w)
{
t_float *dst = (t_float *)w[3];
const vector float zero = (vector float)(0);
int n = w[4]>>4;
if(*(t_float *)w[2]) {
const t_float *src = (const t_float *)w[1];
#ifdef USEVECLIB
float arg = *(t_float *)w[2]?1./ *(t_float *)w[2]: 0;
vsmul(src,1,&arg,dst,1,w[4]);
#else
const vector float v = LoadValue(w[2]);
const vector float one = (vector float)(1);
vector float estimate = vec_re(v);
vector float arg = vec_madd( vec_nmsub( estimate, v, one ), estimate, estimate );
for(; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
a1 = vec_madd(a1,arg,zero);
a2 = vec_madd(a2,arg,zero);
a3 = vec_madd(a3,arg,zero);
a4 = vec_madd(a4,arg,zero);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
#endif
}
else {
/* zero all output */
for(; n--; dst += 16) {
vec_st(zero, 0,dst);
vec_st(zero,16,dst);
vec_st(zero,32,dst);
vec_st(zero,48,dst);
}
}
return w+5;
}
t_int *min_perf_simd(t_int *w)
{
const t_float *src1 = (const t_float *)w[1];
const t_float *src2 = (const t_float *)w[2];
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src1 += 16,src2 += 16,dst += 16) {
vector float a1 = vec_ld( 0,src1),b1 = vec_ld( 0,src2);
vector float a2 = vec_ld(16,src1),b2 = vec_ld(16,src2);
vector float a3 = vec_ld(32,src1),b3 = vec_ld(32,src2);
vector float a4 = vec_ld(48,src1),b4 = vec_ld(48,src2);
a1 = vec_min(a1,b1);
a2 = vec_min(a2,b2);
a3 = vec_min(a3,b3);
a4 = vec_min(a4,b4);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
return w+5;
}
t_int *scalarmin_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
const vector float arg = LoadValue(w[2]);
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
a1 = vec_min(a1,arg);
a2 = vec_min(a2,arg);
a3 = vec_min(a3,arg);
a4 = vec_min(a4,arg);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
return w+5;
}
t_int *max_perf_simd(t_int *w)
{
const t_float *src1 = (const t_float *)w[1];
const t_float *src2 = (const t_float *)w[2];
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src1 += 16,src2 += 16,dst += 16) {
vector float a1 = vec_ld( 0,src1),b1 = vec_ld( 0,src2);
vector float a2 = vec_ld(16,src1),b2 = vec_ld(16,src2);
vector float a3 = vec_ld(32,src1),b3 = vec_ld(32,src2);
vector float a4 = vec_ld(48,src1),b4 = vec_ld(48,src2);
a1 = vec_max(a1,b1);
a2 = vec_max(a2,b2);
a3 = vec_max(a3,b3);
a4 = vec_max(a4,b4);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
return w+5;
}
t_int *scalarmax_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
const vector float arg = LoadValue(w[2]);
t_float *dst = (t_float *)w[3];
int n = w[4]>>4;
for(; n--; src += 16,dst += 16) {
vector float a1 = vec_ld( 0,src);
vector float a2 = vec_ld(16,src);
vector float a3 = vec_ld(32,src);
vector float a4 = vec_ld(48,src);
a1 = vec_max(a1,arg);
a2 = vec_max(a2,arg);
a3 = vec_max(a3,arg);
a4 = vec_max(a4,arg);
vec_st(a1, 0,dst);
vec_st(a2,16,dst);
vec_st(a3,32,dst);
vec_st(a4,48,dst);
}
return w+5;
}
t_int *clip_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
t_float *dst = (t_float *)w[2];
const vector float lo = LoadValue(w[3]);
const vector float hi = LoadValue(w[4]);
int n = w[5]>>4;
for(; n--; src += 16,dst += 16) {
vector float data1 = vec_ld( 0,src);
vector float data2 = vec_ld(16,src);
vector float data3 = vec_ld(32,src);
vector float data4 = vec_ld(48,src);
vector unsigned char mlo1 = (vector unsigned char)vec_cmple(data1,lo); /* bit mask data <= lo */
vector unsigned char mlo2 = (vector unsigned char)vec_cmple(data2,lo); /* bit mask data <= lo */
vector unsigned char mlo3 = (vector unsigned char)vec_cmple(data3,lo); /* bit mask data <= lo */
vector unsigned char mlo4 = (vector unsigned char)vec_cmple(data4,lo); /* bit mask data <= lo */
vector unsigned char mhi1 = (vector unsigned char)vec_cmpge(data1,hi); /* bit mask data >= hi */
vector unsigned char mhi2 = (vector unsigned char)vec_cmpge(data2,hi); /* bit mask data >= hi */
vector unsigned char mhi3 = (vector unsigned char)vec_cmpge(data3,hi); /* bit mask data >= hi */
vector unsigned char mhi4 = (vector unsigned char)vec_cmpge(data4,hi); /* bit mask data >= hi */
data1 = (vector float)vec_and((vector unsigned char)data1,vec_nor(mlo1,mhi1));
data2 = (vector float)vec_and((vector unsigned char)data2,vec_nor(mlo2,mhi2));
data3 = (vector float)vec_and((vector unsigned char)data3,vec_nor(mlo3,mhi3));
data4 = (vector float)vec_and((vector unsigned char)data4,vec_nor(mlo4,mhi4));
mlo1 = vec_and((vector unsigned char)lo,mlo1);
mlo2 = vec_and((vector unsigned char)lo,mlo2);
mlo3 = vec_and((vector unsigned char)lo,mlo3);
mlo4 = vec_and((vector unsigned char)lo,mlo4);
mhi1 = vec_and((vector unsigned char)hi,mhi1);
mhi2 = vec_and((vector unsigned char)hi,mhi2);
mhi3 = vec_and((vector unsigned char)hi,mhi3);
mhi4 = vec_and((vector unsigned char)hi,mhi4);
data1 = (vector float)vec_or(vec_or(mlo1,mhi1),(vector unsigned char)data1);
data2 = (vector float)vec_or(vec_or(mlo2,mhi2),(vector unsigned char)data2);
data3 = (vector float)vec_or(vec_or(mlo3,mhi3),(vector unsigned char)data3);
data4 = (vector float)vec_or(vec_or(mlo4,mhi4),(vector unsigned char)data4);
vec_st(data1, 0,dst);
vec_st(data2,16,dst);
vec_st(data3,32,dst);
vec_st(data4,48,dst);
}
return w+6;
}
t_int *sigwrap_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
t_float *dst = (t_float *)w[2];
int n = w[3]>>4;
for(; n--; src += 16,dst += 16) {
vector float data1 = vec_ld( 0,src);
vector float data2 = vec_ld(16,src);
vector float data3 = vec_ld(32,src);
vector float data4 = vec_ld(48,src);
data1 = vec_sub(data1,vec_floor(data1));
data2 = vec_sub(data2,vec_floor(data2));
data3 = vec_sub(data3,vec_floor(data3));
data4 = vec_sub(data4,vec_floor(data4));
vec_st(data1, 0,dst);
vec_st(data2,16,dst);
vec_st(data3,32,dst);
vec_st(data4,48,dst);
}
return w+4;
}
t_int *sigsqrt_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
t_float *dst = (t_float *)w[2];
int n = w[3]>>4;
const vector float zero = (vector float)(0);
const vector float oneHalf = (vector float)(0.5);
const vector float one = (vector float)(1.0);
for(; n--; src += 16,dst += 16) {
/* http://developer.apple.com/hardware/ve/algorithms.html
Just as in Miller's scalar sigsqrt_perform,
first a rsqrt estimate is calculated which is then refined by one round of Newton-Raphson.
Here, to avoid branching a mask is generated which zeroes out eventual resulting NANs.
*/
#ifdef USEVECLIB
/* no zero checking here */
vec_st(vsqrtf(vec_ld( 0,src)), 0,dst);
vec_st(vsqrtf(vec_ld(16,src)),16,dst);
vec_st(vsqrtf(vec_ld(32,src)),32,dst);
vec_st(vsqrtf(vec_ld(48,src)),48,dst);
#else
vector float data1 = vec_ld( 0,src);
vector float data2 = vec_ld(16,src);
vector float data3 = vec_ld(32,src);
vector float data4 = vec_ld(48,src);
const vector unsigned char mask1 = vec_nor((vector unsigned char)vec_cmple(data1,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector unsigned char mask2 = vec_nor((vector unsigned char)vec_cmple(data2,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector unsigned char mask3 = vec_nor((vector unsigned char)vec_cmple(data3,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector unsigned char mask4 = vec_nor((vector unsigned char)vec_cmple(data4,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector float estimate1 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data1),mask1);
const vector float estimate2 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data2),mask2);
const vector float estimate3 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data3),mask3);
const vector float estimate4 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data4),mask4);
/* this can still be improved.... */
data1 = vec_madd(data1,vec_madd( vec_nmsub( data1, vec_madd( estimate1, estimate1, zero ), one ), vec_madd( estimate1, oneHalf, zero ), estimate1 ), zero);
data2 = vec_madd(data2,vec_madd( vec_nmsub( data2, vec_madd( estimate2, estimate2, zero ), one ), vec_madd( estimate2, oneHalf, zero ), estimate2 ), zero);
data3 = vec_madd(data3,vec_madd( vec_nmsub( data3, vec_madd( estimate3, estimate3, zero ), one ), vec_madd( estimate3, oneHalf, zero ), estimate3 ), zero);
data4 = vec_madd(data4,vec_madd( vec_nmsub( data4, vec_madd( estimate4, estimate4, zero ), one ), vec_madd( estimate4, oneHalf, zero ), estimate4 ), zero);
vec_st(data1, 0,dst);
vec_st(data2,16,dst);
vec_st(data3,32,dst);
vec_st(data4,48,dst);
#endif
}
return w+4;
}
/* Attention: there's a difference to sigsqrt_perform which delivers non-zero for a zero input... i don't think the latter is intended... */
t_int *sigrsqrt_perf_simd(t_int *w)
{
const t_float *src = (const t_float *)w[1];
t_float *dst = (t_float *)w[2];
int n = w[3]>>4;
const vector float zero = (vector float)(0);
const vector float oneHalf = (vector float)(0.5);
const vector float one = (vector float)(1.0);
for(; n--; src += 16,dst += 16) {
/* http://developer.apple.com/hardware/ve/algorithms.html
Just as in Miller's scalar sigrsqrt_perform,
first a rsqrt estimate is calculated which is then refined by one round of Newton-Raphson.
Here, to avoid branching a mask is generated which zeroes out eventual resulting NANs.
*/
#ifdef USEVECLIB
/* no zero checking here */
vec_st(vrsqrtf(vec_ld( 0,src)), 0,dst);
vec_st(vrsqrtf(vec_ld(16,src)),16,dst);
vec_st(vrsqrtf(vec_ld(32,src)),32,dst);
vec_st(vrsqrtf(vec_ld(48,src)),48,dst);
#else
vector float data1 = vec_ld( 0,src);
vector float data2 = vec_ld(16,src);
vector float data3 = vec_ld(32,src);
vector float data4 = vec_ld(48,src);
const vector unsigned char mask1 = vec_nor((vector unsigned char)vec_cmple(data1,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector unsigned char mask2 = vec_nor((vector unsigned char)vec_cmple(data2,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector unsigned char mask3 = vec_nor((vector unsigned char)vec_cmple(data3,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector unsigned char mask4 = vec_nor((vector unsigned char)vec_cmple(data4,zero),(vector unsigned char)zero); /* bit mask... all 0 for data <= 0., all 1 else */
const vector float estimate1 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data1),mask1);
const vector float estimate2 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data2),mask2);
const vector float estimate3 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data3),mask3);
const vector float estimate4 = (vector float)vec_and((vector unsigned char)vec_rsqrte(data4),mask4);
data1 = vec_nmsub( data1, vec_madd( estimate1, estimate1, zero ), one );
data2 = vec_nmsub( data2, vec_madd( estimate2, estimate2, zero ), one );
data3 = vec_nmsub( data3, vec_madd( estimate3, estimate3, zero ), one );
data4 = vec_nmsub( data4, vec_madd( estimate4, estimate4, zero ), one );
data1 = vec_madd( data1, vec_madd( estimate1, oneHalf, zero ), estimate1 );
data2 = vec_madd( data2, vec_madd( estimate2, oneHalf, zero ), estimate2 );
data3 = vec_madd( data3, vec_madd( estimate3, oneHalf, zero ), estimate3 );
data4 = vec_madd( data4, vec_madd( estimate4, oneHalf, zero ), estimate4 );
vec_st(data1, 0,dst);
vec_st(data2,16,dst);
vec_st(data3,32,dst);
vec_st(data4,48,dst);
#endif
}
return w+4;
}
int simd_runtime_check()
{
return 1;
}
#endif
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