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Kernal operation with avx and avx2 (commented)

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Martino
2018-06-17 11:39:46 +02:00
parent a611e0b955
commit a3d5d0f889
1 changed files with 62 additions and 57 deletions
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openair1/PHY/CODING/nrPolar_tools/nr_polar_kernal_operation.c
+62 -57
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@@ -9,78 +9,83 @@ void nr_polar_kernal_operation(uint8_t *u, uint8_t *d, uint16_t N)
{
// Martino's algorithm to avoid multiplication for the generating matrix of polar codes
uint16_t i,j;
uint32_t i,j;
for(i=0; i<N; i++) // Create the elements of d=u*G_N ...
{
d[i]=0;
for(j=0; j<N; j++) // ... looking at all the elements of u
{
//d[i]=d[i] || ( (!(j-i)) | (!i) )*u[j];
d[i]=d[i] ^ (!( (j-i)& i ))*u[j];
}
//d[i]=d[i]%2; // modulo 2
}
/*
__m256i maddReg, uReg, orReg;
__m512i maddRegConv;
__m256i bitJIReg, bitIReg;
uint8_t bitJI[32];
uint8_t bitI[32];
int sumPartial;
uint8_t indToInit;
* It works, but there are too many moves from memory and it's slow. With AVX-512 it could be done faster
*
__m256i A,B,C,E, OUT;
uint32_t dTest[8];
uint32_t jiArray[8];
uint32_t iArray[8];
uint32_t uArray[8];
uint32_t k;
uint32_t toCheck[8];
for(i=0; i<N; i++) // Create the elements of d=u*G_N ...
for(i=0; i<N; i+=8)
{
d[i]=0;
for(j=0; j<N; j+=32) // ... looking at all the elements of u 32 at a time
{
//d[i]=d[i]+( (!(j-i)) | (!i) )*u[j]; <--- THIS IN INTRINSIC
// Products between ( (!(j-i)) | (!i) ) and u[j] and sum all with a reduce add
iArray[0]=i;
iArray[1]=i+1;
iArray[2]=i+2;
iArray[3]=i+3;
iArray[4]=i+4;
iArray[5]=i+5;
iArray[6]=i+6;
iArray[7]=i+7;
uReg = _mm256_maskz_loadu_epi8 (0xFFFFFFFF, (void const*)&u[j]); // load 32 8-bit from u
//init arrays for (!(i-j)) and for (!i)
for(indToInit=0; indToInit<32; indToInit++)
{
// j = j*32+indToInit
bitJI[j*32+indToInit] = !((j*32+indToInit)-i); // (!(j-i))
bitI[j*32+indToInit] = !i; // (!i)
OUT=_mm256_setzero_si256();
for(j=0; j<N; j++)
{
//initialisation
jiArray[0]=j-i;
jiArray[1]=j-(i+1);
jiArray[2]=j-(i+2);
jiArray[3]=j-(i+3);
jiArray[4]=j-(i+4);
jiArray[5]=j-(i+5);
jiArray[6]=j-(i+6);
jiArray[7]=j-(i+7);
uArray[0]=(uint32_t)u[j];
uArray[1]=(uint32_t)u[j];
uArray[2]=(uint32_t)u[j];
uArray[3]=(uint32_t)u[j];
uArray[4]=(uint32_t)u[j];
uArray[5]=(uint32_t)u[j];
uArray[6]=(uint32_t)u[j];
uArray[7]=(uint32_t)u[j];
A=_mm256_loadu_si256((__m256i const*)jiArray);
B=_mm256_loadu_si256((__m256i const*)iArray);
C=_mm256_and_si256(A, B); //mask: if zero, then add
_mm256_storeu_si256((__m256i*)toCheck, C);
for(k=0; k<8; k++)
{
toCheck[k]=!toCheck[k] << 31;
}
bitJIReg = _mm256_maskz_loadu_epi8(0xFFFFFFFF, (void const*)bitJI); // 32x8-bit
bitIReg = _mm256_maskz_loadu_epi8(0xFFFFFFFF, (void const*)bitI); // 32x8-bit
orReg=_mm256_or_si256(bitWise1, bitWise2); // (!(j-i)) | (!i) 32x8-bit
maddReg=_mm256_maddubs_epi16(uReg, orReg); //a1*b1+a2*b2 from 32x8 to 16x16-bit
maddRegConv= _mm512_cvtepi16_epi32(maddReg); //convert to 16x32-bit
sumPartial = _mm512_reduce_add_epi32(maddRegConv); //sum all 16 values
C=_mm256_loadu_si256((__m256i const*)toCheck); //mask: if 1, add
d[i] = d[i] + sumPartial; //store in the final variable
E=_mm256_maskload_epi32((int const*)uArray, C);
OUT=_mm256_xor_si256(OUT, E); //32 bit x 8
}
_mm256_storeu_si256((__m256i*)&dTest, OUT);
for(k=0; k<8; k++)
{
d[i+k]=(uint8_t)dTest[k]; //Conv from 32 to 8
}
d[i]=d[i]%2; // modulo 2
}
*/
/*
__m128 num1, num2, num3, num4;
for (uint16_t i = 0; i < col; i++) {
num4=_mm_setzero_ps(); //sets sum to zero
for (uint16_t j = 0; j < row; j+=4) {
//output[i] += matrix1[j] * matrix2[j][i];
num1=_mm_load_ps((float*)&matrix1[j]); // 1[3], 1[2], 1[1], 1[0] -> num1
num2=_mm_load_ps((float*)&matrix2[j][i]); // 2[3], 2[2], 2[1], 2[0] -> num2
num3=_mm_mul_ps(num1, num2); // 1[3]*2[3],...1[0]*2[0] -> num3
num3=_mm_hadd_ps(num3, num3); //1[3]*2[3]+1[2]*2[2] ...
num4 = _mm_add_ps(num4, num3);
}
num4= _mm_hadd_ps(num4, num4);
_mm_store_ss(&output[i], num4); // Stores only the lower SP FP that contain the sum
}
}
*/
}