GOSTSec
/
ccminer-gostd-lite
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity
GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
312 Commits
1 Branch
55 Tags
65 MiB
 
 
 
 
 
 
Tree: 010eba1760
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '010eba1760'
${ noResults }
ccminer-gostd-lite/lyra2/cuda_lyra2.cu

462 lines
14 KiB
Raw Blame History

#include <memory.h>
#include "cuda_helper.h"
#define TPB 256
static __constant__ uint2 blake2b_IV[8] = {
{ 0xf3bcc908, 0x6a09e667 },
{ 0x84caa73b, 0xbb67ae85 },
{ 0xfe94f82b, 0x3c6ef372 },
{ 0x5f1d36f1, 0xa54ff53a },
{ 0xade682d1, 0x510e527f },
{ 0x2b3e6c1f, 0x9b05688c },
{ 0xfb41bd6b, 0x1f83d9ab },
{ 0x137e2179, 0x5be0cd19 }
};
// data: 0-4 outputhash 4-8 outputhash 8-16 basil
#define reduceDuplexRowSetup(rowIn, rowInOut, rowOut) { \
for (int i = 0; i < 8; i++) { \
for (int j = 0; j < 12; j++) \
state[j] ^= Matrix[12 * i + j][rowIn] + Matrix[12 * i + j][rowInOut]; \
round_lyra_v35(state); \
for (int j = 0; j < 12; j++) \
Matrix[j + 84 - 12 * i][rowOut] = Matrix[12 * i + j][rowIn] ^ state[j]; \
Matrix[0 + 12 * i][rowInOut] ^= state[11]; \
Matrix[1 + 12 * i][rowInOut] ^= state[0]; \
Matrix[2 + 12 * i][rowInOut] ^= state[1]; \
Matrix[3 + 12 * i][rowInOut] ^= state[2]; \
Matrix[4 + 12 * i][rowInOut] ^= state[3]; \
Matrix[5 + 12 * i][rowInOut] ^= state[4]; \
Matrix[6 + 12 * i][rowInOut] ^= state[5]; \
Matrix[7 + 12 * i][rowInOut] ^= state[6]; \
Matrix[8 + 12 * i][rowInOut] ^= state[7]; \
Matrix[9 + 12 * i][rowInOut] ^= state[8]; \
Matrix[10+ 12 * i][rowInOut] ^= state[9]; \
Matrix[11+ 12 * i][rowInOut] ^= state[10]; \
} \
}
#define reduceDuplexRow(rowIn, rowInOut, rowOut) { \
for (int i = 0; i < 8; i++) { \
for (int j = 0; j < 12; j++) \
state[j] ^= Matrix[12 * i + j][rowIn] + Matrix[12 * i + j][rowInOut]; \
round_lyra_v35(state); \
for (int j = 0; j < 12; j++) \
Matrix[j + 12 * i][rowOut] ^= state[j]; \
Matrix[0 + 12 * i][rowInOut] ^= state[11]; \
Matrix[1 + 12 * i][rowInOut] ^= state[0]; \
Matrix[2 + 12 * i][rowInOut] ^= state[1]; \
Matrix[3 + 12 * i][rowInOut] ^= state[2]; \
Matrix[4 + 12 * i][rowInOut] ^= state[3]; \
Matrix[5 + 12 * i][rowInOut] ^= state[4]; \
Matrix[6 + 12 * i][rowInOut] ^= state[5]; \
Matrix[7 + 12 * i][rowInOut] ^= state[6]; \
Matrix[8 + 12 * i][rowInOut] ^= state[7]; \
Matrix[9 + 12 * i][rowInOut] ^= state[8]; \
Matrix[10+ 12 * i][rowInOut] ^= state[9]; \
Matrix[11+ 12 * i][rowInOut] ^= state[10]; \
} \
}
#define absorbblock(in) { \
state[0] ^= Matrix[0][in]; \
state[1] ^= Matrix[1][in]; \
state[2] ^= Matrix[2][in]; \
state[3] ^= Matrix[3][in]; \
state[4] ^= Matrix[4][in]; \
state[5] ^= Matrix[5][in]; \
state[6] ^= Matrix[6][in]; \
state[7] ^= Matrix[7][in]; \
state[8] ^= Matrix[8][in]; \
state[9] ^= Matrix[9][in]; \
state[10] ^= Matrix[10][in]; \
state[11] ^= Matrix[11][in]; \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
}
//// test version
#define reduceDuplexRowSetup_test(rowIn, rowInOut, rowOut) { \
for (int i = 0; i < 8; i++) { \
for (int j = 0; j < 12; j++) \
state[j] ^= Matrix[j][i][rowIn] + Matrix[j][i][rowInOut]; \
round_lyra_v35(state); \
for (int j = 0; j < 12; j++) \
Matrix[j][7-i][rowOut] = Matrix[j][i][rowIn] ^ state[j]; \
Matrix[0][i][rowInOut] ^= state[11]; \
Matrix[1][i][rowInOut] ^= state[0]; \
Matrix[2][i][rowInOut] ^= state[1]; \
Matrix[3][i][rowInOut] ^= state[2]; \
Matrix[4][i][rowInOut] ^= state[3]; \
Matrix[5][i][rowInOut] ^= state[4]; \
Matrix[6][i][rowInOut] ^= state[5]; \
Matrix[7][i][rowInOut] ^= state[6]; \
Matrix[8][i][rowInOut] ^= state[7]; \
Matrix[9][i][rowInOut] ^= state[8]; \
Matrix[10][i][rowInOut] ^= state[9]; \
Matrix[11][i][rowInOut] ^= state[10]; \
} \
}
#define reduceDuplexRow_test(rowIn, rowInOut, rowOut) { \
for (int i = 0; i < 8; i++) { \
for (int j = 0; j < 12; j++) \
state[j] ^= Matrix[j][i][rowIn] + Matrix[j][i][rowInOut]; \
round_lyra_v35(state); \
for (int j = 0; j < 12; j++) \
Matrix[j][i][rowOut] ^= state[j]; \
Matrix[0][i][rowInOut] ^= state[11]; \
Matrix[1][i][rowInOut] ^= state[0]; \
Matrix[2][i][rowInOut] ^= state[1]; \
Matrix[3][i][rowInOut] ^= state[2]; \
Matrix[4][i][rowInOut] ^= state[3]; \
Matrix[5][i][rowInOut] ^= state[4]; \
Matrix[6][i][rowInOut] ^= state[5]; \
Matrix[7][i][rowInOut] ^= state[6]; \
Matrix[8][i][rowInOut] ^= state[7]; \
Matrix[9][i][rowInOut] ^= state[8]; \
Matrix[10][i][rowInOut] ^= state[9]; \
Matrix[11][i][rowInOut] ^= state[10]; \
} \
}
#define absorbblock_test(in) { \
state[0] ^= Matrix[0][0][ in]; \
state[1] ^= Matrix[1][0][in]; \
state[2] ^= Matrix[2][0][in]; \
state[3] ^= Matrix[3][0][in]; \
state[4] ^= Matrix[4][0][in]; \
state[5] ^= Matrix[5][0][in]; \
state[6] ^= Matrix[6][0][in]; \
state[7] ^= Matrix[7][0][in]; \
state[8] ^= Matrix[8][0][in]; \
state[9] ^= Matrix[9][0][in]; \
state[10] ^= Matrix[10][0][in]; \
state[11] ^= Matrix[11][0][in]; \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
round_lyra_v35(state); \
}
//// compute 30 version
#define reduceDuplexRowSetup_v30(rowIn, rowInOut, rowOut) { \
for (int i = 0; i < 8; i++) { \
for (int j = 0; j < 12; j++) \
state[j] ^= Matrix[12 * i + j][rowIn] + Matrix[12 * i + j][rowInOut]; \
round_lyra_v30(state); \
for (int j = 0; j < 12; j++) \
Matrix[j + 84 - 12 * i][rowOut] = Matrix[12 * i + j][rowIn] ^ state[j]; \
Matrix[0 + 12 * i][rowInOut] ^= state[11]; \
Matrix[1 + 12 * i][rowInOut] ^= state[0]; \
Matrix[2 + 12 * i][rowInOut] ^= state[1]; \
Matrix[3 + 12 * i][rowInOut] ^= state[2]; \
Matrix[4 + 12 * i][rowInOut] ^= state[3]; \
Matrix[5 + 12 * i][rowInOut] ^= state[4]; \
Matrix[6 + 12 * i][rowInOut] ^= state[5]; \
Matrix[7 + 12 * i][rowInOut] ^= state[6]; \
Matrix[8 + 12 * i][rowInOut] ^= state[7]; \
Matrix[9 + 12 * i][rowInOut] ^= state[8]; \
Matrix[10 + 12 * i][rowInOut] ^= state[9]; \
Matrix[11 + 12 * i][rowInOut] ^= state[10]; \
} \
}
#define reduceDuplexRow_v30(rowIn, rowInOut, rowOut) { \
for (int i = 0; i < 8; i++) { \
for (int j = 0; j < 12; j++) \
state[j] ^= Matrix[12 * i + j][rowIn] + Matrix[12 * i + j][rowInOut]; \
round_lyra_v30(state); \
for (int j = 0; j < 12; j++) \
Matrix[j + 12 * i][rowOut] ^= state[j]; \
Matrix[0 + 12 * i][rowInOut] ^= state[11]; \
Matrix[1 + 12 * i][rowInOut] ^= state[0]; \
Matrix[2 + 12 * i][rowInOut] ^= state[1]; \
Matrix[3 + 12 * i][rowInOut] ^= state[2]; \
Matrix[4 + 12 * i][rowInOut] ^= state[3]; \
Matrix[5 + 12 * i][rowInOut] ^= state[4]; \
Matrix[6 + 12 * i][rowInOut] ^= state[5]; \
Matrix[7 + 12 * i][rowInOut] ^= state[6]; \
Matrix[8 + 12 * i][rowInOut] ^= state[7]; \
Matrix[9 + 12 * i][rowInOut] ^= state[8]; \
Matrix[10 + 12 * i][rowInOut] ^= state[9]; \
Matrix[11 + 12 * i][rowInOut] ^= state[10]; \
} \
}
#define absorbblock_v30(in) { \
state[0] ^= Matrix[0][in]; \
state[1] ^= Matrix[1][in]; \
state[2] ^= Matrix[2][in]; \
state[3] ^= Matrix[3][in]; \
state[4] ^= Matrix[4][in]; \
state[5] ^= Matrix[5][in]; \
state[6] ^= Matrix[6][in]; \
state[7] ^= Matrix[7][in]; \
state[8] ^= Matrix[8][in]; \
state[9] ^= Matrix[9][in]; \
state[10] ^= Matrix[10][in]; \
state[11] ^= Matrix[11][in]; \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
round_lyra_v30(state); \
}
static __device__ __forceinline__
void Gfunc_v35(uint2 & a, uint2 &b, uint2 &c, uint2 &d)
{
a += b; d ^= a; d = ROR2(d, 32);
c += d; b ^= c; b = ROR2(b, 24);
a += b; d ^= a; d = ROR2(d, 16);
c += d; b ^= c; b = ROR2(b, 63);
}
static __device__ __forceinline__
void Gfunc_v30(uint64_t & a, uint64_t &b, uint64_t &c, uint64_t &d)
{
a += b; d ^= a; d = ROTR64(d, 32);
c += d; b ^= c; b = ROTR64(b, 24);
a += b; d ^= a; d = ROTR64(d, 16);
c += d; b ^= c; b = ROTR64(b, 63);
}
#define round_lyra_v35_new(state) { \
Gfunc_v35(state[0], state[4], state[8], state[12]); \
Gfunc_v35(state[1], state[5], state[9], state[13]); \
Gfunc_v35(state[2], state[6], state[10], state[14]); \
Gfunc_v35(state[3], state[7], state[11], state[15]); \
Gfunc_v35(state[0], state[5], state[10], state[15]); \
Gfunc_v35(state[1], state[6], state[11], state[12]); \
Gfunc_v35(state[2], state[7], state[8], state[13]); \
Gfunc_v35(state[3], state[4], state[9], state[14]); \
}
static __device__ __forceinline__ void round_lyra_v35(uint2 *s)
{
Gfunc_v35(s[0], s[4], s[8], s[12]);
Gfunc_v35(s[1], s[5], s[9], s[13]);
Gfunc_v35(s[2], s[6], s[10], s[14]);
Gfunc_v35(s[3], s[7], s[11], s[15]);
Gfunc_v35(s[0], s[5], s[10], s[15]);
Gfunc_v35(s[1], s[6], s[11], s[12]);
Gfunc_v35(s[2], s[7], s[8], s[13]);
Gfunc_v35(s[3], s[4], s[9], s[14]);
}
static __device__ __forceinline__ void round_lyra_v30(uint64_t *s)
{
Gfunc_v30(s[0], s[4], s[8], s[12]);
Gfunc_v30(s[1], s[5], s[9], s[13]);
Gfunc_v30(s[2], s[6], s[10], s[14]);
Gfunc_v30(s[3], s[7], s[11], s[15]);
Gfunc_v30(s[0], s[5], s[10], s[15]);
Gfunc_v30(s[1], s[6], s[11], s[12]);
Gfunc_v30(s[2], s[7], s[8], s[13]);
Gfunc_v30(s[3], s[4], s[9], s[14]);
}
__global__ __launch_bounds__(TPB, 1)
void lyra2_gpu_hash_32_v30(int threads, uint32_t startNounce, uint64_t *outputHash)
{
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
uint64_t state[16];
#pragma unroll
for (int i = 0; i<4; i++) { state[i] = outputHash[threads*i + thread]; } //password
#pragma unroll
for (int i = 0; i<4; i++) { state[i + 4] = state[i]; } //salt
#pragma unroll
for (int i = 0; i<8; i++) { state[i + 8] = devectorize(blake2b_IV[i]); }
// blake2blyra x2
#pragma unroll 24
for (int i = 0; i<24; i++) { round_lyra_v30(state); } //because 12 is not enough
uint64_t Matrix[96][8]; // not cool
// reducedSqueezeRow0
#pragma unroll 8
for (int i = 0; i < 8; i++) {
int idx = 84-12*i;
#pragma unroll 12
for (int j = 0; j<12; j++) { Matrix[j + idx][0] = state[j]; }
round_lyra_v30(state);
}
// reducedSqueezeRow1
#pragma unroll 8
for (int i = 0; i < 8; i++)
{
int idx0= 12*i;
int idx1= 84-idx0;
#pragma unroll 12
for (int j = 0; j<12; j++) { state[j] ^= Matrix[j + idx0][0]; }
round_lyra_v30(state);
#pragma unroll 12
for (int j = 0; j<12; j++) { Matrix[j + idx1][1] = Matrix[j + idx0][0] ^ state[j]; }
}
reduceDuplexRowSetup_v30(1, 0, 2);
reduceDuplexRowSetup_v30(2, 1, 3);
reduceDuplexRowSetup_v30(3, 0, 4);
reduceDuplexRowSetup_v30(4, 3, 5);
reduceDuplexRowSetup_v30(5, 2, 6);
reduceDuplexRowSetup_v30(6, 1, 7);
uint64_t rowa;
rowa = state[0] & 7;
reduceDuplexRow_v30(7, rowa, 0);
rowa = state[0] & 7;
reduceDuplexRow_v30(0, rowa, 3);
rowa = state[0] & 7;
reduceDuplexRow_v30(3, rowa, 6);
rowa = state[0] & 7;
reduceDuplexRow_v30(6, rowa, 1);
rowa = state[0] & 7;
reduceDuplexRow_v30(1, rowa, 4);
rowa = state[0] & 7;
reduceDuplexRow_v30(4, rowa, 7);
rowa = state[0] & 7;
reduceDuplexRow_v30(7, rowa, 2);
rowa = state[0] & 7;
reduceDuplexRow_v30(2, rowa, 5);
absorbblock_v30(rowa);
#pragma unroll
for (int i = 0; i<4; i++) {
outputHash[threads*i + thread] = state[i];
} //password
} //thread
}
__global__ __launch_bounds__(TPB, 1)
void lyra2_gpu_hash_32(int threads, uint32_t startNounce, uint64_t *outputHash)
{
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
uint2 state[16];
#pragma unroll
for (int i = 0; i<4; i++) { LOHI(state[i].x, state[i].y, outputHash[threads*i + thread]); } //password
#pragma unroll
for (int i = 0; i<4; i++) { state[i + 4] = state[i]; } //salt
#pragma unroll
for (int i = 0; i<8; i++) { state[i + 8] = blake2b_IV[i]; }
// blake2blyra x2
//#pragma unroll 24
for (int i = 0; i<24; i++) { round_lyra_v35(state); } //because 12 is not enough
uint2 Matrix[96][8]; // not cool
// reducedSqueezeRow0
#pragma unroll 8
for (int i = 0; i < 8; i++)
{
#pragma unroll 12
for (int j = 0; j<12; j++) { Matrix[j + 84 - 12 * i][0] = state[j]; }
round_lyra_v35(state);
}
// reducedSqueezeRow1
#pragma unroll 8
for (int i = 0; i < 8; i++)
{
#pragma unroll 12
for (int j = 0; j<12; j++) { state[j] ^= Matrix[j + 12 * i][0]; }
round_lyra_v35(state);
#pragma unroll 12
for (int j = 0; j<12; j++) { Matrix[j + 84 - 12 * i][1] = Matrix[j + 12 * i][0] ^ state[j]; }
}
reduceDuplexRowSetup(1, 0, 2);
reduceDuplexRowSetup(2, 1, 3);
reduceDuplexRowSetup(3, 0, 4);
reduceDuplexRowSetup(4, 3, 5);
reduceDuplexRowSetup(5, 2, 6);
reduceDuplexRowSetup(6, 1, 7);
uint32_t rowa;
rowa = state[0].x & 7;
reduceDuplexRow(7, rowa, 0);
rowa = state[0].x & 7;
reduceDuplexRow(0, rowa, 3);
rowa = state[0].x & 7;
reduceDuplexRow(3, rowa, 6);
rowa = state[0].x & 7;
reduceDuplexRow(6, rowa, 1);
rowa = state[0].x & 7;
reduceDuplexRow(1, rowa, 4);
rowa = state[0].x & 7;
reduceDuplexRow(4, rowa, 7);
rowa = state[0].x & 7;
reduceDuplexRow(7, rowa, 2);
rowa = state[0].x & 7;
reduceDuplexRow(2, rowa, 5);
absorbblock(rowa);
#pragma unroll
for (int i = 0; i<4; i++) {
outputHash[threads*i + thread] = devectorize(state[i]);
} //password
} //thread
}
__host__
void lyra2_cpu_init(int thr_id, int threads)
{
//not used
}
__host__
void lyra2_cpu_hash_32(int thr_id, int threads, uint32_t startNounce, uint64_t *d_outputHash, int order)
{
const int threadsperblock = TPB;
dim3 grid((threads + threadsperblock - 1) / threadsperblock);
dim3 block(threadsperblock);
if (device_sm[device_map[thr_id]] >= 320) {
lyra2_gpu_hash_32 <<<grid, block>>> (threads, startNounce, d_outputHash);
} else {
// kernel for compute30 card
lyra2_gpu_hash_32_v30 <<<grid, block >>> (threads, startNounce, d_outputHash);
}
cudaDeviceSynchronize();
//MyStreamSynchronize(NULL, order, thr_id);
}