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272 lines
7.6 KiB
272 lines
7.6 KiB
#include <stdio.h> |
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#include <stdint.h> |
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#include <string.h> |
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#include <sys/time.h> |
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#include <unistd.h> |
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#include <cuda.h> |
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#include <cuda_runtime.h> |
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#include "cryptonight.h" |
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#ifdef WIN32 |
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int cn_bfactor = 8; |
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int cn_bsleep = 100; |
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#else |
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int cn_bfactor = 0; |
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int cn_bsleep = 0; |
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#endif |
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#include "cn_aes.cuh" |
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#define MUL_SUM_XOR_DST(a,c,dst) { \ |
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uint64_t hi, lo = cuda_mul128(((uint64_t *)a)[0], ((uint64_t *)dst)[0], &hi) + ((uint64_t *)c)[1]; \ |
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hi += ((uint64_t *)c)[0]; \ |
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((uint64_t *)c)[0] = ((uint64_t *)dst)[0] ^ hi; \ |
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((uint64_t *)c)[1] = ((uint64_t *)dst)[1] ^ lo; \ |
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((uint64_t *)dst)[0] = hi; \ |
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((uint64_t *)dst)[1] = lo; } |
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__device__ __forceinline__ uint64_t cuda_mul128(uint64_t multiplier, uint64_t multiplicand, uint64_t* product_hi) |
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{ |
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*product_hi = __umul64hi(multiplier, multiplicand); |
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return(multiplier * multiplicand); |
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} |
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__global__ |
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void cryptonight_core_gpu_phase1(int threads, uint32_t * __restrict__ long_state, uint32_t * __restrict__ ctx_state, uint32_t * __restrict__ ctx_key1) |
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{ |
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__shared__ uint32_t sharedMemory[1024]; |
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cn_aes_gpu_init(sharedMemory); |
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const int thread = (blockDim.x * blockIdx.x + threadIdx.x) >> 3; |
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const int sub = (threadIdx.x & 7) << 2; |
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if(thread < threads) |
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{ |
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uint32_t key[40], text[4]; |
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MEMCPY8(key, ctx_key1 + thread * 40, 20); |
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MEMCPY8(text, ctx_state + thread * 50 + sub + 16, 2); |
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__syncthreads(); |
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for(int i = 0; i < 0x80000; i += 32) |
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{ |
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cn_aes_pseudo_round_mut(sharedMemory, text, key); |
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MEMCPY8(&long_state[(thread << 19) + sub + i], text, 2); |
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} |
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} |
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} |
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__global__ |
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void cryptonight_core_gpu_phase2(const int threads, const int bfactor, const int partidx, uint32_t * d_long_state, uint32_t * d_ctx_a, uint32_t * d_ctx_b) |
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{ |
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__shared__ uint32_t sharedMemory[1024]; |
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cn_aes_gpu_init(sharedMemory); |
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__syncthreads(); |
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#if 0 && __CUDA_ARCH__ >= 300 |
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const int thread = (blockDim.x * blockIdx.x + threadIdx.x) >> 2; |
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const int sub = threadIdx.x & 3; |
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if(thread < threads) |
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{ |
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const int batchsize = ITER >> (2 + bfactor); |
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const int start = partidx * batchsize; |
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const int end = start + batchsize; |
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uint32_t * __restrict__ long_state = &d_long_state[thread << 19]; |
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uint32_t * __restrict__ ctx_a = d_ctx_a + thread * 4; |
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uint32_t * __restrict__ ctx_b = d_ctx_b + thread * 4; |
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uint32_t a, b, c, x[4]; |
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uint32_t t1[4], t2[4], res; |
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uint64_t reshi, reslo; |
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int j; |
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a = ctx_a[sub]; |
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b = ctx_b[sub]; |
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#pragma unroll 8 |
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for(int i = start; i < end; ++i) |
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{ |
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//j = ((uint32_t *)a)[0] & 0x1FFFF0; |
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j = (__shfl((int)a, 0, 4) & 0x1FFFF0) >> 2; |
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//cn_aes_single_round(sharedMemory, &long_state[j], c, a); |
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x[0] = long_state[j + sub]; |
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x[1] = __shfl((int)x[0], sub + 1, 4); |
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x[2] = __shfl((int)x[0], sub + 2, 4); |
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x[3] = __shfl((int)x[0], sub + 3, 4); |
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c = a ^ |
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t_fn0(x[0] & 0xff) ^ |
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t_fn1((x[1] >> 8) & 0xff) ^ |
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t_fn2((x[2] >> 16) & 0xff) ^ |
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t_fn3((x[3] >> 24) & 0xff); |
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//XOR_BLOCKS_DST(c, b, &long_state[j]); |
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long_state[j + sub] = c ^ b; |
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//MUL_SUM_XOR_DST(c, a, &long_state[((uint32_t *)c)[0] & 0x1FFFF0]); |
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j = (__shfl((int)c, 0, 4) & 0x1FFFF0) >> 2; |
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#pragma unroll |
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for(int k = 0; k < 2; k++) |
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t1[k] = __shfl((int)c, k, 4); |
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#pragma unroll |
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for(int k = 0; k < 4; k++) |
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t2[k] = __shfl((int)a, k, 4); |
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asm( |
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"mad.lo.u64 %0, %2, %3, %4;\n\t" |
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"mad.hi.u64 %1, %2, %3, %5;\n\t" |
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: "=l"(reslo), "=l"(reshi) |
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: "l"(((uint64_t *)t1)[0]), "l"(((uint64_t *)long_state)[j >> 1]), "l"(((uint64_t *)t2)[1]), "l"(((uint64_t *)t2)[0])); |
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res = (sub & 2 ? reslo : reshi) >> (sub & 1 ? 32 : 0); |
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a = long_state[j + sub] ^ res; |
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long_state[j + sub] = res; |
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//j = ((uint32_t *)a)[0] & 0x1FFFF0; |
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j = (__shfl((int)a, 0, 4) & 0x1FFFF0) >> 2; |
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//cn_aes_single_round(sharedMemory, &long_state[j], b, a); |
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x[0] = long_state[j + sub]; |
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x[1] = __shfl((int)x[0], sub + 1, 4); |
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x[2] = __shfl((int)x[0], sub + 2, 4); |
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x[3] = __shfl((int)x[0], sub + 3, 4); |
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b = a ^ |
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t_fn0(x[0] & 0xff) ^ |
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t_fn1((x[1] >> 8) & 0xff) ^ |
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t_fn2((x[2] >> 16) & 0xff) ^ |
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t_fn3((x[3] >> 24) & 0xff); |
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//XOR_BLOCKS_DST(b, c, &long_state[j]); |
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long_state[j + sub] = c ^ b; |
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//MUL_SUM_XOR_DST(b, a, &long_state[((uint32_t *)b)[0] & 0x1FFFF0]); |
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j = (__shfl((int)b, 0, 4) & 0x1FFFF0) >> 2; |
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#pragma unroll |
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for(int k = 0; k < 2; k++) |
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t1[k] = __shfl((int)b, k, 4); |
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#pragma unroll |
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for(int k = 0; k < 4; k++) |
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t2[k] = __shfl((int)a, k, 4); |
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asm( |
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"mad.lo.u64 %0, %2, %3, %4;\n\t" |
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"mad.hi.u64 %1, %2, %3, %5;\n\t" |
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: "=l"(reslo), "=l"(reshi) |
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: "l"(((uint64_t *)t1)[0]), "l"(((uint64_t *)long_state)[j >> 1]), "l"(((uint64_t *)t2)[1]), "l"(((uint64_t *)t2)[0])); |
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res = (sub & 2 ? reslo : reshi) >> (sub & 1 ? 32 : 0); |
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a = long_state[j + sub] ^ res; |
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long_state[j + sub] = res; |
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} |
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if(bfactor > 0) |
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{ |
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ctx_a[sub] = a; |
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ctx_b[sub] = b; |
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} |
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} |
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#else // __CUDA_ARCH__ < 300 |
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const int thread = blockDim.x * blockIdx.x + threadIdx.x; |
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if(thread < threads) |
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{ |
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const int batchsize = ITER >> (2 + bfactor); |
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const int start = partidx * batchsize; |
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const int end = start + batchsize; |
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const off_t longptr = (off_t) thread << 19; |
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uint32_t * long_state = &d_long_state[longptr]; |
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uint32_t * ctx_a = &d_ctx_a[thread * 4]; |
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uint32_t * ctx_b = &d_ctx_b[thread * 4]; |
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uint32_t a[4], b[4]; |
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MEMCPY8(a, ctx_a, 2); |
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MEMCPY8(b, ctx_b, 2); |
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for(int i = start; i < end; i++) // end = 262144 |
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{ |
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uint32_t c[4]; |
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uint32_t j = (a[0] >> 2) & 0x7FFFC; |
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cn_aes_single_round(sharedMemory, &long_state[j], c, a); |
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XOR_BLOCKS_DST(c, b, &long_state[j]); |
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MUL_SUM_XOR_DST(c, a, &long_state[(c[0] >> 2) & 0x7FFFC]); |
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j = (a[0] >> 2) & 0x7FFFC; |
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cn_aes_single_round(sharedMemory, &long_state[j], b, a); |
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XOR_BLOCKS_DST(b, c, &long_state[j]); |
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MUL_SUM_XOR_DST(b, a, &long_state[(b[0] >> 2) & 0x7FFFC]); |
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} |
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if(bfactor > 0) |
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{ |
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MEMCPY8(ctx_a, a, 2); |
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MEMCPY8(ctx_b, b, 2); |
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} |
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} |
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#endif // __CUDA_ARCH__ >= 300 |
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} |
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__global__ |
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void cryptonight_core_gpu_phase3(int threads, const uint32_t * __restrict__ long_state, uint32_t * __restrict__ d_ctx_state, uint32_t * __restrict__ d_ctx_key2) |
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{ |
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__shared__ uint32_t sharedMemory[1024]; |
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cn_aes_gpu_init(sharedMemory); |
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int thread = (blockDim.x * blockIdx.x + threadIdx.x) >> 3; |
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int sub = (threadIdx.x & 7) << 2; |
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if(thread < threads) |
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{ |
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uint32_t key[40], text[4]; |
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MEMCPY8(key, d_ctx_key2 + thread * 40, 20); |
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MEMCPY8(text, d_ctx_state + thread * 50 + sub + 16, 2); |
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__syncthreads(); |
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for(int i = 0; i < 0x80000; i += 32) |
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{ |
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#pragma unroll |
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for(int j = 0; j < 4; ++j) |
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text[j] ^= long_state[(thread << 19) + sub + i + j]; |
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cn_aes_pseudo_round_mut(sharedMemory, text, key); |
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} |
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MEMCPY8(d_ctx_state + thread * 50 + sub + 16, text, 2); |
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} |
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} |
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__host__ |
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void cryptonight_core_cpu_hash(int thr_id, int blocks, int threads, uint32_t *d_long_state, uint32_t *d_ctx_state, uint32_t *d_ctx_a, uint32_t *d_ctx_b, uint32_t *d_ctx_key1, uint32_t *d_ctx_key2) |
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{ |
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dim3 grid(blocks); |
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dim3 block(threads); |
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dim3 block4(threads << 2); |
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dim3 block8(threads << 3); |
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const int bfactor = cn_bfactor; // device_bfactor[thr_id]; |
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const int bsleep = cn_bsleep; //device_bsleep[thr_id]; |
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int i, partcount = 1 << bfactor; |
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int dev_id = device_map[thr_id]; |
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cryptonight_core_gpu_phase1 <<<grid, block8 >>>(blocks*threads, d_long_state, d_ctx_state, d_ctx_key1); |
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exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
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if(partcount > 1) usleep(bsleep); |
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for(i = 0; i < partcount; i++) |
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{ |
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cryptonight_core_gpu_phase2 <<<grid, (device_sm[dev_id] >= 300 ? block4 : block)>>>(blocks*threads, bfactor, i, d_long_state, d_ctx_a, d_ctx_b); |
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exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
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if(partcount > 1) usleep(bsleep); |
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} |
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cryptonight_core_gpu_phase3 <<<grid, block8 >>>(blocks*threads, d_long_state, d_ctx_state, d_ctx_key2); |
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exit_if_cudaerror(thr_id, __FUNCTION__, __LINE__); |
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}
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