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Simplification of the SIMD hash code (remove unnecessary lookup tables), increase X11 throughput value somewhat

master
Christian Buchner 11 years ago
parent
baf6c9e4e3
commit
44d38e3a9a
2 changed files with 16 additions and 192 deletions
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  1. 202
      x11/cuda_x11_simd512.cu
  2. 2
      x11/x11.cu

202
x11/cuda_x11_simd512.cu
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@ -44,79 +44,6 @@ const int h_FFT[256] =
-93, -125, 125, -86, 86, 117, -117, -91, 91, 42, -42, 87, -87, -117, 117, 102, -102 -93, -125, 125, -86, 86, 117, -117, -91, 91, 42, -42, 87, -87, -117, 117, 102, -102
}; };
__constant__ int c_P4[32][4];
static const int h_P4[32][4] = {
{ 2, 34, 18, 50 },
{ 6, 38, 22, 54 },
{ 0, 32, 16, 48 },
{ 4, 36, 20, 52 },
{ 14, 46, 30, 62 },
{ 10, 42, 26, 58 },
{ 12, 44, 28, 60 },
{ 8, 40, 24, 56 },
{ 15, 47, 31, 63 },
{ 13, 45, 29, 61 },
{ 3, 35, 19, 51 },
{ 1, 33, 17, 49 },
{ 9, 41, 25, 57 },
{ 11, 43, 27, 59 },
{ 5, 37, 21, 53 },
{ 7, 39, 23, 55 },
{ 8, 40, 24, 56 },
{ 4, 36, 20, 52 },
{ 14, 46, 30, 62 },
{ 2, 34, 18, 50 },
{ 6, 38, 22, 54 },
{ 10, 42, 26, 58 },
{ 0, 32, 16, 48 },
{ 12, 44, 28, 60 },
{ 70, 102, 86, 118 },
{ 64, 96, 80, 112 },
{ 72, 104, 88, 120 },
{ 78, 110, 94, 126 },
{ 76, 108, 92, 124 },
{ 74, 106, 90, 122 },
{ 66, 98, 82, 114 },
{ 68, 100, 84, 116 }
};
__constant__ int c_Q4[32][4];
static const int h_Q4[32][4] = {
{ 66, 98, 82, 114 },
{ 70, 102, 86, 118 },
{ 64, 96, 80, 112 },
{ 68, 100, 84, 116 },
{ 78, 110, 94, 126 },
{ 74, 106, 90, 122 },
{ 76, 108, 92, 124 },
{ 72, 104, 88, 120 },
{ 79, 111, 95, 127 },
{ 77, 109, 93, 125 },
{ 67, 99, 83, 115 },
{ 65, 97, 81, 113 },
{ 73, 105, 89, 121 },
{ 75, 107, 91, 123 },
{ 69, 101, 85, 117 },
{ 71, 103, 87, 119 },
{ 9, 41, 25, 57 },
{ 5, 37, 21, 53 },
{ 15, 47, 31, 63 },
{ 3, 35, 19, 51 },
{ 7, 39, 23, 55 },
{ 11, 43, 27, 59 },
{ 1, 33, 17, 49 },
{ 13, 45, 29, 61 },
{ 71, 103, 87, 119 },
{ 65, 97, 81, 113 },
{ 73, 105, 89, 121 },
{ 79, 111, 95, 127 },
{ 77, 109, 93, 125 },
{ 75, 107, 91, 123 },
{ 67, 99, 83, 115 },
{ 69, 101, 85, 117 }
};
__constant__ int c_P8[32][8]; __constant__ int c_P8[32][8];
static const int h_P8[32][8] = { static const int h_P8[32][8] = {
{ 2, 66, 34, 98, 18, 82, 50, 114 }, { 2, 66, 34, 98, 18, 82, 50, 114 },
@ -189,49 +116,6 @@ static const int h_Q8[32][8] = {
{ 133, 197, 165, 229, 149, 213, 181, 245 }, { 133, 197, 165, 229, 149, 213, 181, 245 },
}; };
__constant__ int c_FFT64_8_8_Twiddle[64];
static const int h_FFT64_8_8_Twiddle[64] = {
1, 1, 1, 1, 1, 1, 1, 1,
1, 2, 4, 8, 16, 32, 64, 128,
1, 60, 2, 120, 4, -17, 8, -34,
1, 120, 8, -68, 64, -30, -2, 17,
1, 46, 60, -67, 2, 92, 120, 123,
1, 92, -17, -22, 32, 117, -30, 67,
1, -67, 120, -73, 8, -22, -68, -70,
1, 123, -34, -70, 128, 67, 17, 35,
};
__constant__ int c_FFT128_2_64_Twiddle[64];
static const int h_FFT128_2_64_Twiddle[64] = {
1, -118, 46, -31, 60, 116, -67, -61,
2, 21, 92, -62, 120, -25, 123, -122,
4, 42, -73, -124, -17, -50, -11, 13,
8, 84, 111, 9, -34, -100, -22, 26,
16, -89, -35, 18, -68, 57, -44, 52,
32, 79, -70, 36, 121, 114, -88, 104,
64, -99, 117, 72, -15, -29, 81, -49,
128, 59, -23, -113, -30, -58, -95, -98
};
__constant__ int c_FFT128_16_8_Twiddle[128];
static const int h_FFT128_16_8_Twiddle[128] = {
1, 1, 1, 1, 1, 1, 1, 1,
1, 2, 4, 8, 16, 32, 64, 128,
1, 60, 2, 120, 4, -17, 8, -34,
1, 120, 8, -68, 64, -30, -2, 17,
1, 46, 60, -67, 2, 92, 120, 123,
1, 92, -17, -22, 32, 117, -30, 67,
1, -67, 120, -73, 8, -22, -68, -70,
1, 123, -34, -70, 128, 67, 17, 35,
1, -118, 46, -31, 60, 116, -67, -61,
1, 21, -73, 9, -68, 114, 81, -98,
1, 116, 92, -122, -17, 84, -22, 18,
1, -25, 111, 52, -15, 118, -123, -9,
1, -31, -67, 21, 120, -122, -73, -50,
1, -62, -11, -89, 121, -49, -46, 25,
1, -61, 123, -50, -34, 18, -70, -99,
1, -122, -22, 114, -30, 62, -111, -79 };
__constant__ int c_FFT128_8_16_Twiddle[128]; __constant__ int c_FFT128_8_16_Twiddle[128];
static const int h_FFT128_8_16_Twiddle[128] = { static const int h_FFT128_8_16_Twiddle[128] = {
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
@ -309,7 +193,7 @@ __device__ __forceinline__ void STEP8_MAJ(const uint32_t *w, const int i, const
} }
} }
__device__ __forceinline__ void Round8(uint32_t A[128], const int y[128], int i, __device__ __forceinline__ void Round8(uint32_t A[32], const int y[256], int i,
int r, int s, int t, int u) { int r, int s, int t, int u) {
int code = i<2? 185: 233; int code = i<2? 185: 233;
uint32_t w[8][8]; uint32_t w[8][8];
@ -464,12 +348,13 @@ X(j) = (u-v) << n; \
DO_REDUCE(15); DO_REDUCE(15);
BUTTERFLY( 0, 4, 0); BUTTERFLY( 0, 4, 0);
BUTTERFLY( 8, 12, 0);
BUTTERFLY( 1, 5, 2); BUTTERFLY( 1, 5, 2);
BUTTERFLY( 9, 13, 2);
BUTTERFLY( 2, 6, 4); BUTTERFLY( 2, 6, 4);
BUTTERFLY(10, 14, 4);
BUTTERFLY( 3, 7, 6); BUTTERFLY( 3, 7, 6);
BUTTERFLY( 8, 12, 0);
BUTTERFLY( 9, 13, 2);
BUTTERFLY(10, 14, 4);
BUTTERFLY(11, 15, 6); BUTTERFLY(11, 15, 6);
DO_REDUCE(5); DO_REDUCE(5);
@ -478,18 +363,21 @@ X(j) = (u-v) << n; \
DO_REDUCE(15); DO_REDUCE(15);
BUTTERFLY( 0, 2, 0); BUTTERFLY( 0, 2, 0);
BUTTERFLY( 1, 3, 4);
BUTTERFLY( 4, 6, 0); BUTTERFLY( 4, 6, 0);
BUTTERFLY( 5, 7, 4);
BUTTERFLY( 8, 10, 0); BUTTERFLY( 8, 10, 0);
BUTTERFLY(12, 14, 0); BUTTERFLY(12, 14, 0);
BUTTERFLY( 1, 3, 4);
BUTTERFLY( 5, 7, 4);
BUTTERFLY( 9, 11, 4); BUTTERFLY( 9, 11, 4);
BUTTERFLY(13, 15, 4); BUTTERFLY(13, 15, 4);
BUTTERFLY( 0, 1, 0); BUTTERFLY( 0, 1, 0);
BUTTERFLY( 2, 3, 0); BUTTERFLY( 2, 3, 0);
BUTTERFLY( 4, 5, 0); BUTTERFLY( 4, 5, 0);
BUTTERFLY( 6, 7, 0); BUTTERFLY( 6, 7, 0);
BUTTERFLY( 8, 9, 0); BUTTERFLY( 8, 9, 0);
BUTTERFLY(10, 11, 0); BUTTERFLY(10, 11, 0);
BUTTERFLY(12, 13, 0); BUTTERFLY(12, 13, 0);
@ -518,65 +406,6 @@ X(j) = (u-v) << n; \
#undef BUTTERFLY #undef BUTTERFLY
} }
__device__ __forceinline__ void FFT_64(int *y) {
/*
* FFT_64 using w=46 as 64th root of unity
* decimation in frequency (DIF) radix-8 NTT.
* Output data is in revbin_permuted order.
*/
int i;
/*
* Begin with 8 parallels DIF FFT_8.
*/
#pragma unroll 8
for (i=0; i<8; i++) {
FFT_8(y+i,8);
}
/*
* Multiply by twiddle factors
*/
#pragma unroll 56
for (i=8; i<64; i++)
if (i & 7) y[i] = REDUCE(y[i]*c_FFT64_8_8_Twiddle[i]);
/*
* Finish with 8 paralles DIF FFT_8.
*/
#pragma unroll 8
for (i=0; i<8; i++) {
FFT_8(y+8*i,1);
}
}
__device__ __forceinline__ void FFT_128_halfzero(int *y) {
/*
* FFT_128 using w=139 as 128th root of unity.
* Decimation in frequency (DIF) NTT.
* Output data is in revbin_permuted order.
* In place.
*/
const int tmp = y[63];
int i;
#pragma unroll 63
for (i=0; i<63; i++)
y[64+i] = REDUCE(y[i] * c_FFT128_2_64_Twiddle[i]);
/* handle X^127 */
y[63] = REDUCE(tmp + 1);
y[127] = REDUCE((tmp - 1) * c_FFT128_2_64_Twiddle[63]);
FFT_64(y);
FFT_64(y+64);
}
__device__ __forceinline__ void FFT_128_full(int *y) { __device__ __forceinline__ void FFT_128_full(int *y) {
int i; int i;
@ -596,7 +425,7 @@ __device__ __forceinline__ void FFT_128_full(int *y) {
} }
__device__ __forceinline__ void FFT_256_halfzero(int *y) { __device__ __forceinline__ void FFT_256_halfzero(int y[256]) {
int i; int i;
@ -621,7 +450,7 @@ __device__ __forceinline__ void FFT_256_halfzero(int *y) {
} }
__device__ __forceinline__ void SIMD_Compress(uint32_t A[128], const int *expanded, const uint32_t *M) { __device__ __forceinline__ void SIMD_Compress(uint32_t A[32], const int *expanded, const uint32_t *M) {
uint32_t IV[4][8]; uint32_t IV[4][8];
int i; int i;
@ -666,7 +495,7 @@ __device__ __forceinline__ void SIMD_Compress(uint32_t A[128], const int *expand
__device__ __forceinline__ void SIMDHash(const uint32_t *data, uint32_t *hashval) { __device__ __forceinline__ void SIMDHash(const uint32_t *data, uint32_t *hashval) {
uint32_t A[128]; uint32_t A[32];
int i; int i;
uint32_t buffer[16]; uint32_t buffer[16];
@ -735,13 +564,8 @@ __host__ void x11_simd512_cpu_init(int thr_id, int threads)
{ {
cudaMemcpyToSymbol( c_IV_512, h_IV_512, sizeof(h_IV_512), 0, cudaMemcpyHostToDevice); cudaMemcpyToSymbol( c_IV_512, h_IV_512, sizeof(h_IV_512), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_FFT, h_FFT, sizeof(h_FFT), 0, cudaMemcpyHostToDevice); cudaMemcpyToSymbol( c_FFT, h_FFT, sizeof(h_FFT), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_P4, h_P4, sizeof(h_P4), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_Q4, h_Q4, sizeof(h_Q4), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_P8, h_P8, sizeof(h_P8), 0, cudaMemcpyHostToDevice); cudaMemcpyToSymbol( c_P8, h_P8, sizeof(h_P8), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_Q8, h_Q8, sizeof(h_Q8), 0, cudaMemcpyHostToDevice); cudaMemcpyToSymbol( c_Q8, h_Q8, sizeof(h_Q8), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_FFT64_8_8_Twiddle, h_FFT64_8_8_Twiddle, sizeof(h_FFT64_8_8_Twiddle), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_FFT128_2_64_Twiddle, h_FFT128_2_64_Twiddle, sizeof(h_FFT128_2_64_Twiddle), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_FFT128_16_8_Twiddle, h_FFT128_16_8_Twiddle, sizeof(h_FFT128_16_8_Twiddle), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_FFT128_8_16_Twiddle, h_FFT128_8_16_Twiddle, sizeof(h_FFT128_8_16_Twiddle), 0, cudaMemcpyHostToDevice); cudaMemcpyToSymbol( c_FFT128_8_16_Twiddle, h_FFT128_8_16_Twiddle, sizeof(h_FFT128_8_16_Twiddle), 0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_FFT256_2_128_Twiddle, h_FFT256_2_128_Twiddle, sizeof(h_FFT256_2_128_Twiddle), 0, cudaMemcpyHostToDevice); cudaMemcpyToSymbol( c_FFT256_2_128_Twiddle, h_FFT256_2_128_Twiddle, sizeof(h_FFT256_2_128_Twiddle), 0, cudaMemcpyHostToDevice);
} }

2
x11/x11.cu
Unescape View File

@ -168,7 +168,7 @@ extern "C" int scanhash_x11(int thr_id, uint32_t *pdata,
const uint32_t Htarg = ptarget[7]; const uint32_t Htarg = ptarget[7];
const int throughput = 256*256; // 100; const int throughput = 256*256*16;
static bool init[8] = {0,0,0,0,0,0,0,0}; static bool init[8] = {0,0,0,0,0,0,0,0};
if (!init[thr_id]) if (!init[thr_id])

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