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.
379 lines
9.1 KiB
379 lines
9.1 KiB
#include <stdio.h> |
|
#include <stdint.h> |
|
#include <memory.h> |
|
|
|
#define TPB52 8 |
|
#define TPB50 16 |
|
|
|
#include "cuda_lyra2v2_sm3.cuh" |
|
|
|
#ifdef __INTELLISENSE__ |
|
/* just for vstudio code colors */ |
|
#define __CUDA_ARCH__ 500 |
|
#endif |
|
|
|
#if __CUDA_ARCH__ >= 500 |
|
|
|
#include "cuda_lyra2_vectors.h" |
|
|
|
#define Nrow 4 |
|
#define Ncol 4 |
|
#define uint2x4 uint28 |
|
#define memshift 3 |
|
|
|
__device__ uint2x4 *DMatrix; |
|
|
|
__device__ __forceinline__ |
|
void Gfunc_v5(uint2 &a, uint2 &b, uint2 &c, uint2 &d) |
|
{ |
|
a += b; d ^= a; d = SWAPUINT2(d); |
|
c += d; b ^= c; b = ROR2(b, 24); |
|
a += b; d ^= a; d = ROR2(d, 16); |
|
c += d; b ^= c; b = ROR2(b, 63); |
|
} |
|
|
|
__device__ __forceinline__ |
|
void round_lyra_v5(uint2x4* s) |
|
{ |
|
Gfunc_v5(s[0].x, s[1].x, s[2].x, s[3].x); |
|
Gfunc_v5(s[0].y, s[1].y, s[2].y, s[3].y); |
|
Gfunc_v5(s[0].z, s[1].z, s[2].z, s[3].z); |
|
Gfunc_v5(s[0].w, s[1].w, s[2].w, s[3].w); |
|
|
|
Gfunc_v5(s[0].x, s[1].y, s[2].z, s[3].w); |
|
Gfunc_v5(s[0].y, s[1].z, s[2].w, s[3].x); |
|
Gfunc_v5(s[0].z, s[1].w, s[2].x, s[3].y); |
|
Gfunc_v5(s[0].w, s[1].x, s[2].y, s[3].z); |
|
} |
|
|
|
__device__ __forceinline__ |
|
void reduceDuplex(uint2x4 state[4], const uint32_t thread) |
|
{ |
|
uint2x4 state1[3]; |
|
const uint32_t ps1 = (Nrow * Ncol * memshift * thread); |
|
const uint32_t ps2 = (memshift * (Ncol-1) + memshift * Ncol + Nrow * Ncol * memshift * thread); |
|
|
|
#pragma unroll 4 |
|
for (int i = 0; i < Ncol; i++) |
|
{ |
|
uint32_t s1 = ps1 + i*memshift; |
|
uint32_t s2 = ps2 - i*memshift; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state1[j] = __ldg4(&(DMatrix+s1)[j]); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state[j] ^= state1[j]; |
|
|
|
round_lyra_v5(state); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state1[j] ^= state[j]; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
(DMatrix + s2)[j] = state1[j]; |
|
} |
|
} |
|
|
|
__device__ __forceinline__ |
|
void reduceDuplex50(uint2x4 state[4], const uint32_t thread) |
|
{ |
|
const uint32_t ps1 = (Nrow * Ncol * memshift * thread); |
|
const uint32_t ps2 = (memshift * (Ncol - 1) + memshift * Ncol + Nrow * Ncol * memshift * thread); |
|
|
|
#pragma unroll 4 |
|
for (int i = 0; i < Ncol; i++) |
|
{ |
|
const uint32_t s1 = ps1 + i*memshift; |
|
const int32_t s2 = ps2 - i*memshift; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state[j] ^= __ldg4(&(DMatrix + s1)[j]); |
|
|
|
round_lyra_v5(state); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
(DMatrix + s2)[j] = __ldg4(&(DMatrix + s1)[j]) ^ state[j]; |
|
} |
|
} |
|
|
|
__device__ __forceinline__ |
|
void reduceDuplexRowSetupV2(const int rowIn, const int rowInOut, const int rowOut, uint2x4 state[4], const uint32_t thread) |
|
{ |
|
uint2x4 state2[3], state1[3]; |
|
|
|
const uint32_t ps1 = (memshift * Ncol * rowIn + Nrow * Ncol * memshift * thread); |
|
const uint32_t ps2 = (memshift * Ncol * rowInOut + Nrow * Ncol * memshift * thread); |
|
const uint32_t ps3 = (memshift * (Ncol-1) + memshift * Ncol * rowOut + Nrow * Ncol * memshift * thread); |
|
|
|
for (int i = 0; i < Ncol; i++) |
|
{ |
|
const uint32_t s1 = ps1 + i*memshift; |
|
const uint32_t s2 = ps2 + i*memshift; |
|
const uint32_t s3 = ps3 - i*memshift; |
|
|
|
#if __CUDA_ARCH__ == 500 |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state[j] = state[j] ^ (__ldg4(&(DMatrix + s1)[j]) + __ldg4(&(DMatrix + s2)[j])); |
|
|
|
round_lyra_v5(state); |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state1[j] = __ldg4(&(DMatrix + s1)[j]); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state2[j] = __ldg4(&(DMatrix + s2)[j]); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
{ |
|
state1[j] ^= state[j]; |
|
(DMatrix + s3)[j] = state1[j]; |
|
} |
|
|
|
#else /* 5.2 */ |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state1[j] = __ldg4(&(DMatrix + s1)[j]); |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state2[j] = __ldg4(&(DMatrix + s2)[j]); |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
{ |
|
uint2x4 tmp = state1[j] + state2[j]; |
|
state[j] ^= tmp; |
|
} |
|
|
|
round_lyra_v5(state); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
{ |
|
state1[j] ^= state[j]; |
|
(DMatrix + s3)[j] = state1[j]; |
|
} |
|
|
|
#endif |
|
((uint2*)state2)[0] ^= ((uint2*)state)[11]; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 11; j++) |
|
((uint2*)state2)[j+1] ^= ((uint2*)state)[j]; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
(DMatrix + s2)[j] = state2[j]; |
|
} |
|
} |
|
|
|
|
|
__device__ __forceinline__ |
|
void reduceDuplexRowtV2(const int rowIn, const int rowInOut, const int rowOut, uint2x4* state, const uint32_t thread) |
|
{ |
|
uint2x4 state1[3], state2[3]; |
|
const uint32_t ps1 = (memshift * Ncol * rowIn + Nrow * Ncol * memshift * thread); |
|
const uint32_t ps2 = (memshift * Ncol * rowInOut + Nrow * Ncol * memshift * thread); |
|
const uint32_t ps3 = (memshift * Ncol * rowOut + Nrow * Ncol * memshift * thread); |
|
|
|
for (int i = 0; i < Ncol; i++) |
|
{ |
|
const uint32_t s1 = ps1 + i*memshift; |
|
const uint32_t s2 = ps2 + i*memshift; |
|
const uint32_t s3 = ps3 + i*memshift; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state1[j] = __ldg4(&(DMatrix + s1)[j]); |
|
|
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state2[j] = __ldg4(&(DMatrix + s2)[j]); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state1[j] += state2[j]; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state[j] ^= state1[j]; |
|
|
|
round_lyra_v5(state); |
|
|
|
((uint2*)state2)[0] ^= ((uint2*)state)[11]; |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 11; j++) |
|
((uint2*)state2)[j + 1] ^= ((uint2*)state)[j]; |
|
|
|
#if __CUDA_ARCH__ == 500 |
|
if (rowInOut != rowOut) |
|
{ |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
(DMatrix + s3)[j] ^= state[j]; |
|
|
|
} |
|
if (rowInOut == rowOut) |
|
{ |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state2[j] ^= state[j]; |
|
} |
|
#else |
|
if (rowInOut != rowOut) |
|
{ |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
(DMatrix + s3)[j] ^= state[j]; |
|
} else { |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state2[j] ^= state[j]; |
|
} |
|
#endif |
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
(DMatrix + s2)[j] = state2[j]; |
|
} |
|
} |
|
|
|
|
|
#if __CUDA_ARCH__ == 500 |
|
__global__ __launch_bounds__(TPB50, 1) |
|
#else |
|
__global__ __launch_bounds__(TPB52, 1) |
|
#endif |
|
void lyra2v2_gpu_hash_32(const uint32_t threads, uint32_t startNounce, uint2 *g_hash) |
|
{ |
|
const uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x); |
|
|
|
uint2x4 blake2b_IV[2]; |
|
|
|
if (threadIdx.x == 0) { |
|
|
|
((uint16*)blake2b_IV)[0] = make_uint16( |
|
0xf3bcc908, 0x6a09e667, 0x84caa73b, 0xbb67ae85, |
|
0xfe94f82b, 0x3c6ef372, 0x5f1d36f1, 0xa54ff53a, |
|
0xade682d1, 0x510e527f, 0x2b3e6c1f, 0x9b05688c, |
|
0xfb41bd6b, 0x1f83d9ab, 0x137e2179, 0x5be0cd19 |
|
); |
|
} |
|
|
|
if (thread < threads) |
|
{ |
|
uint2x4 state[4]; |
|
|
|
((uint2*)state)[0] = __ldg(&g_hash[thread]); |
|
((uint2*)state)[1] = __ldg(&g_hash[thread + threads]); |
|
((uint2*)state)[2] = __ldg(&g_hash[thread + threads*2]); |
|
((uint2*)state)[3] = __ldg(&g_hash[thread + threads*3]); |
|
|
|
state[1] = state[0]; |
|
|
|
state[2] = ((blake2b_IV)[0]); |
|
state[3] = ((blake2b_IV)[1]); |
|
|
|
for (int i = 0; i<12; i++) |
|
round_lyra_v5(state); |
|
|
|
((uint2*)state)[0].x ^= 0x20; |
|
((uint2*)state)[1].x ^= 0x20; |
|
((uint2*)state)[2].x ^= 0x20; |
|
((uint2*)state)[3].x ^= 0x01; |
|
((uint2*)state)[4].x ^= 0x04; |
|
((uint2*)state)[5].x ^= 0x04; |
|
((uint2*)state)[6].x ^= 0x80; |
|
((uint2*)state)[7].y ^= 0x01000000; |
|
|
|
for (int i = 0; i<12; i++) |
|
round_lyra_v5(state); |
|
|
|
const uint32_t ps1 = (memshift * (Ncol - 1) + Nrow * Ncol * memshift * thread); |
|
|
|
for (int i = 0; i < Ncol; i++) |
|
{ |
|
const uint32_t s1 = ps1 - memshift * i; |
|
DMatrix[s1] = state[0]; |
|
DMatrix[s1+1] = state[1]; |
|
DMatrix[s1+2] = state[2]; |
|
round_lyra_v5(state); |
|
} |
|
|
|
reduceDuplex50(state, thread); |
|
|
|
reduceDuplexRowSetupV2(1, 0, 2, state, thread); |
|
reduceDuplexRowSetupV2(2, 1, 3, state, thread); |
|
|
|
uint32_t rowa; |
|
int prev=3; |
|
|
|
for (int i = 0; i < 4; i++) |
|
{ |
|
rowa = ((uint2*)state)[0].x & 3; |
|
reduceDuplexRowtV2(prev, rowa, i, state, thread); |
|
prev = i; |
|
} |
|
|
|
const uint32_t shift = (memshift * Ncol * rowa + Nrow * Ncol * memshift * thread); |
|
|
|
#pragma unroll |
|
for (int j = 0; j < 3; j++) |
|
state[j] ^= __ldg4(&(DMatrix + shift)[j]); |
|
|
|
for (int i = 0; i < 12; i++) |
|
round_lyra_v5(state); |
|
|
|
g_hash[thread] = ((uint2*)state)[0]; |
|
g_hash[thread + threads] = ((uint2*)state)[1]; |
|
g_hash[thread + threads*2] = ((uint2*)state)[2]; |
|
g_hash[thread + threads*3] = ((uint2*)state)[3]; |
|
} |
|
} |
|
#else |
|
#include "cuda_helper.h" |
|
#if __CUDA_ARCH__ < 300 |
|
__device__ void* DMatrix; |
|
#endif |
|
__global__ void lyra2v2_gpu_hash_32(const uint32_t threads, uint32_t startNounce, uint2 *g_hash) {} |
|
#endif |
|
|
|
__host__ |
|
void lyra2v2_cpu_init(int thr_id, uint32_t threads, uint64_t *d_matrix) |
|
{ |
|
cuda_get_arch(thr_id); |
|
// just assign the device pointer allocated in main loop |
|
cudaMemcpyToSymbol(DMatrix, &d_matrix, sizeof(uint64_t*), 0, cudaMemcpyHostToDevice); |
|
} |
|
|
|
__host__ |
|
void lyra2v2_cpu_hash_32(int thr_id, uint32_t threads, uint32_t startNounce, uint64_t *g_hash, int order) |
|
{ |
|
int dev_id = device_map[thr_id % MAX_GPUS]; |
|
uint32_t tpb = TPB52; |
|
|
|
if (device_sm[dev_id] == 500 || cuda_arch[dev_id] == 500) tpb = TPB50; |
|
else if (device_sm[dev_id] == 350 || cuda_arch[dev_id] == 350) tpb = TPB35; |
|
else if (device_sm[dev_id] < 350 || cuda_arch[dev_id] < 350) tpb = TPB30; |
|
|
|
dim3 grid((threads + tpb - 1) / tpb); |
|
dim3 block(tpb); |
|
|
|
if (device_sm[dev_id] >= 500 && cuda_arch[dev_id] >= 500) |
|
lyra2v2_gpu_hash_32 <<<grid, block>>> (threads, startNounce, (uint2*)g_hash); |
|
else |
|
lyra2v2_gpu_hash_32_v3 <<<grid, block>>> (threads, startNounce, (uint2*)g_hash); |
|
|
|
//MyStreamSynchronize(NULL, order, thr_id); |
|
}
|
|
|