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/*
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* luffa_for_32.c
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* Version 2.0 (Sep 15th 2009)
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*
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* Copyright (C) 2008-2009 Hitachi, Ltd. All rights reserved.
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*
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* Hitachi, Ltd. is the owner of this software and hereby grant
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* the U.S. Government and any interested party the right to use
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* this software for the purposes of the SHA-3 evaluation process,
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* notwithstanding that this software is copyrighted.
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*
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* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
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* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
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* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
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* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
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* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
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* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
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* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
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*/
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#include <stdio.h>
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#include <stdint.h>
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#include <memory.h>
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#include "cuda_helper.h"
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#ifndef UINT32_MAX
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#define UINT32_MAX UINT_MAX
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#endif
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typedef unsigned char BitSequence;
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__constant__ uint64_t c_PaddedMessage80[16]; // padded message (80 bytes + padding)
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__constant__ uint32_t c_Target[8];
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static uint32_t *h_resNounce[MAX_GPUS];
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static uint32_t *d_resNounce[MAX_GPUS];
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#define NBN 1 /* max results, could be 2, see blake32.cu */
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#if NBN > 1
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static uint32_t extra_results[2] = { UINT32_MAX, UINT32_MAX };
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#endif
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typedef struct {
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uint32_t buffer[8]; /* Buffer to be hashed */
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uint32_t chainv[40]; /* Chaining values */
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} hashState;
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#define BYTES_SWAP32(x) cuda_swab32(x)
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#define MULT2(a,j)\
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tmp = a[7+(8*j)];\
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a[7+(8*j)] = a[6+(8*j)];\
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a[6+(8*j)] = a[5+(8*j)];\
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a[5+(8*j)] = a[4+(8*j)];\
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a[4+(8*j)] = a[3+(8*j)] ^ tmp;\
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a[3+(8*j)] = a[2+(8*j)] ^ tmp;\
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a[2+(8*j)] = a[1+(8*j)];\
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a[1+(8*j)] = a[0+(8*j)] ^ tmp;\
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a[0+(8*j)] = tmp;
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#define TWEAK(a0,a1,a2,a3,j)\
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a0 = (a0<<(j))|(a0>>(32-j));\
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a1 = (a1<<(j))|(a1>>(32-j));\
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a2 = (a2<<(j))|(a2>>(32-j));\
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a3 = (a3<<(j))|(a3>>(32-j));
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#define STEP(c0,c1)\
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SUBCRUMB(chainv[0],chainv[1],chainv[2],chainv[3],tmp);\
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SUBCRUMB(chainv[5],chainv[6],chainv[7],chainv[4],tmp);\
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MIXWORD(chainv[0],chainv[4]);\
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MIXWORD(chainv[1],chainv[5]);\
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MIXWORD(chainv[2],chainv[6]);\
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MIXWORD(chainv[3],chainv[7]);\
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ADD_CONSTANT(chainv[0],chainv[4],c0,c1);
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#define SUBCRUMB(a0,a1,a2,a3,a4)\
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a4 = a0;\
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a0 |= a1;\
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a2 ^= a3;\
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a1 = ~a1;\
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a0 ^= a3;\
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a3 &= a4;\
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a1 ^= a3;\
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a3 ^= a2;\
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a2 &= a0;\
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a0 = ~a0;\
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a2 ^= a1;\
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a1 |= a3;\
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a4 ^= a1;\
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a3 ^= a2;\
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a2 &= a1;\
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a1 ^= a0;\
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a0 = a4;
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#define MIXWORD(a0,a4)\
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a4 ^= a0;\
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a0 = (a0<<2) | (a0>>(30));\
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a0 ^= a4;\
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a4 = (a4<<14) | (a4>>(18));\
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a4 ^= a0;\
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a0 = (a0<<10) | (a0>>(22));\
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a0 ^= a4;\
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a4 = (a4<<1) | (a4>>(31));
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#define ADD_CONSTANT(a0,b0,c0,c1)\
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a0 ^= c0;\
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b0 ^= c1;
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/* initial values of chaining variables */
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__constant__ uint32_t c_IV[40];
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const uint32_t h2_IV[40] = {
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0x6d251e69,0x44b051e0,0x4eaa6fb4,0xdbf78465,
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0x6e292011,0x90152df4,0xee058139,0xdef610bb,
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0xc3b44b95,0xd9d2f256,0x70eee9a0,0xde099fa3,
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0x5d9b0557,0x8fc944b3,0xcf1ccf0e,0x746cd581,
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0xf7efc89d,0x5dba5781,0x04016ce5,0xad659c05,
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0x0306194f,0x666d1836,0x24aa230a,0x8b264ae7,
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0x858075d5,0x36d79cce,0xe571f7d7,0x204b1f67,
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0x35870c6a,0x57e9e923,0x14bcb808,0x7cde72ce,
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0x6c68e9be,0x5ec41e22,0xc825b7c7,0xaffb4363,
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0xf5df3999,0x0fc688f1,0xb07224cc,0x03e86cea};
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__constant__ uint32_t c_CNS[80];
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uint32_t h2_CNS[80] = {
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0x303994a6,0xe0337818,0xc0e65299,0x441ba90d,
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0x6cc33a12,0x7f34d442,0xdc56983e,0x9389217f,
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0x1e00108f,0xe5a8bce6,0x7800423d,0x5274baf4,
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0x8f5b7882,0x26889ba7,0x96e1db12,0x9a226e9d,
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0xb6de10ed,0x01685f3d,0x70f47aae,0x05a17cf4,
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0x0707a3d4,0xbd09caca,0x1c1e8f51,0xf4272b28,
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0x707a3d45,0x144ae5cc,0xaeb28562,0xfaa7ae2b,
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0xbaca1589,0x2e48f1c1,0x40a46f3e,0xb923c704,
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0xfc20d9d2,0xe25e72c1,0x34552e25,0xe623bb72,
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0x7ad8818f,0x5c58a4a4,0x8438764a,0x1e38e2e7,
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0xbb6de032,0x78e38b9d,0xedb780c8,0x27586719,
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0xd9847356,0x36eda57f,0xa2c78434,0x703aace7,
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0xb213afa5,0xe028c9bf,0xc84ebe95,0x44756f91,
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0x4e608a22,0x7e8fce32,0x56d858fe,0x956548be,
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0x343b138f,0xfe191be2,0xd0ec4e3d,0x3cb226e5,
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0x2ceb4882,0x5944a28e,0xb3ad2208,0xa1c4c355,
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0xf0d2e9e3,0x5090d577,0xac11d7fa,0x2d1925ab,
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0x1bcb66f2,0xb46496ac,0x6f2d9bc9,0xd1925ab0,
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0x78602649,0x29131ab6,0x8edae952,0x0fc053c3,
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0x3b6ba548,0x3f014f0c,0xedae9520,0xfc053c31};
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/***************************************************/
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__device__ __forceinline__
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void rnd512(hashState *state)
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{
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int i,j;
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uint32_t t[40];
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uint32_t chainv[8];
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uint32_t tmp;
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#pragma unroll 8
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for(i=0;i<8;i++) {
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t[i]=0;
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#pragma unroll 5
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for(j=0;j<5;j++) {
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t[i] ^= state->chainv[i+8*j];
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}
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}
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MULT2(t, 0);
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#pragma unroll 5
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for(j=0;j<5;j++) {
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[i+8*j] ^= t[i];
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}
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}
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#pragma unroll 5
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for(j=0;j<5;j++) {
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#pragma unroll 8
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for(i=0;i<8;i++) {
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t[i+8*j] = state->chainv[i+8*j];
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}
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}
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#pragma unroll 5
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for(j=0;j<5;j++) {
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MULT2(state->chainv, j);
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}
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#pragma unroll 5
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for(j=0;j<5;j++) {
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[8*j+i] ^= t[8*((j+1)%5)+i];
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}
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}
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#pragma unroll 5
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for(j=0;j<5;j++) {
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#pragma unroll 8
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for(i=0;i<8;i++) {
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t[i+8*j] = state->chainv[i+8*j];
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}
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}
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#pragma unroll 5
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for(j=0;j<5;j++) {
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MULT2(state->chainv, j);
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}
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#pragma unroll 5
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for(j=0;j<5;j++) {
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[8*j+i] ^= t[8*((j+4)%5)+i];
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}
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}
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#pragma unroll 5
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for(j=0;j<5;j++) {
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[i+8*j] ^= state->buffer[i];
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}
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MULT2(state->buffer, 0);
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}
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#pragma unroll 8
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for(i=0;i<8;i++) {
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chainv[i] = state->chainv[i];
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}
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#pragma unroll 8
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for(i=0;i<8;i++) {
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STEP(c_CNS[(2*i)],c_CNS[(2*i)+1]);
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}
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[i] = chainv[i];
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chainv[i] = state->chainv[i+8];
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}
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TWEAK(chainv[4],chainv[5],chainv[6],chainv[7],1);
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#pragma unroll 8
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for(i=0;i<8;i++) {
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STEP(c_CNS[(2*i)+16],c_CNS[(2*i)+16+1]);
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}
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[i+8] = chainv[i];
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chainv[i] = state->chainv[i+16];
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}
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TWEAK(chainv[4],chainv[5],chainv[6],chainv[7],2);
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#pragma unroll 8
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for(i=0;i<8;i++) {
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STEP(c_CNS[(2*i)+32],c_CNS[(2*i)+32+1]);
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}
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[i+16] = chainv[i];
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chainv[i] = state->chainv[i+24];
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}
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TWEAK(chainv[4],chainv[5],chainv[6],chainv[7],3);
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#pragma unroll 8
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for(i=0;i<8;i++) {
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STEP(c_CNS[(2*i)+48],c_CNS[(2*i)+48+1]);
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}
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[i+24] = chainv[i];
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chainv[i] = state->chainv[i+32];
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}
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TWEAK(chainv[4],chainv[5],chainv[6],chainv[7],4);
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#pragma unroll 8
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for(i=0;i<8;i++) {
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STEP(c_CNS[(2*i)+64],c_CNS[(2*i)+64+1]);
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}
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#pragma unroll 8
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for(i=0;i<8;i++) {
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state->chainv[i+32] = chainv[i];
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}
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}
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__device__ __forceinline__
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void Update512(hashState *state, const BitSequence *data)
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{
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#pragma unroll 8
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for(int i=0;i<8;i++) state->buffer[i] = BYTES_SWAP32(((uint32_t*)data)[i]);
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rnd512(state);
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#pragma unroll 8
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for(int i=0;i<8;i++) state->buffer[i] = BYTES_SWAP32(((uint32_t*)(data+32))[i]);
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rnd512(state);
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#pragma unroll 4
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for(int i=0;i<4;i++) state->buffer[i] = BYTES_SWAP32(((uint32_t*)(data+64))[i]);
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}
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/***************************************************/
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__device__ __forceinline__
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void finalization512(hashState *state, uint32_t *b)
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{
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int i,j;
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state->buffer[4] = 0x80000000;
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#pragma unroll 3
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for(int i=5;i<8;i++) state->buffer[i] = 0;
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rnd512(state);
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/*---- blank round with m=0 ----*/
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#pragma unroll 8
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for(i=0;i<8;i++) state->buffer[i] =0;
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rnd512(state);
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#pragma unroll 8
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for(i=0;i<8;i++) {
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b[i] = 0;
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#pragma unroll 5
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for(j=0;j<5;j++) {
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b[i] ^= state->chainv[i+8*j];
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}
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b[i] = BYTES_SWAP32((b[i]));
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}
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|
#pragma unroll 8
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|
for(i=0;i<8;i++) state->buffer[i]=0;
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|
rnd512(state);
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|
|
|
|
|
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|
#pragma unroll 8
|
|
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|
for(i=0;i<8;i++) {
|
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|
b[8+i] = 0;
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|
|
|
#pragma unroll 5
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|
|
|
for(j=0;j<5;j++) {
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|
b[8+i] ^= state->chainv[i+8*j];
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|
}
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|
b[8+i] = BYTES_SWAP32((b[8+i]));
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|
}
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|
}
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|
/***************************************************/
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|
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|
// Die Hash-Funktion
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|
__global__
|
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|
|
void qubit_luffa512_gpu_hash_80(uint32_t threads, uint32_t startNounce, void *outputHash)
|
|
|
|
{
|
|
|
|
uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
|
|
|
|
if (thread < threads)
|
|
|
|
{
|
|
|
|
uint32_t nounce = startNounce + thread;
|
|
|
|
union {
|
|
|
|
uint64_t buf64[16];
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|
|
|
uint32_t buf32[32];
|
|
|
|
} buff;
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|
|
|
|
|
|
|
#pragma unroll 16
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|
for (int i=0; i < 16; ++i) buff.buf64[i] = c_PaddedMessage80[i];
|
|
|
|
|
|
|
|
// die Nounce durch die thread-spezifische ersetzen
|
|
|
|
buff.buf64[9] = REPLACE_HIWORD(buff.buf64[9], cuda_swab32(nounce));
|
|
|
|
|
|
|
|
|
|
|
|
hashState state;
|
|
|
|
#pragma unroll 40
|
|
|
|
for(int i=0;i<40;i++) state.chainv[i] = c_IV[i];
|
|
|
|
#pragma unroll 8
|
|
|
|
for(int i=0;i<8;i++) state.buffer[i] = 0;
|
|
|
|
Update512(&state, (BitSequence*)buff.buf32);
|
|
|
|
uint32_t *outHash = (uint32_t *)outputHash + 16 * thread;
|
|
|
|
finalization512(&state, (uint32_t*)outHash);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
__global__
|
|
|
|
void qubit_luffa512_gpu_finalhash_80(uint32_t threads, uint32_t startNounce, void *outputHash, uint32_t *resNounce)
|
|
|
|
{
|
|
|
|
uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
|
|
|
|
if (thread < threads)
|
|
|
|
{
|
|
|
|
uint32_t nounce = startNounce + thread;
|
|
|
|
union {
|
|
|
|
uint64_t buf64[16];
|
|
|
|
uint32_t buf32[32];
|
|
|
|
} buff;
|
|
|
|
uint32_t Hash[16];
|
|
|
|
|
|
|
|
#pragma unroll 16
|
|
|
|
for (int i=0; i < 16; ++i) buff.buf64[i] = c_PaddedMessage80[i];
|
|
|
|
|
|
|
|
// Tested nonce
|
|
|
|
buff.buf64[9] = REPLACE_HIWORD(buff.buf64[9], cuda_swab32(nounce));
|
|
|
|
|
|
|
|
hashState state;
|
|
|
|
#pragma unroll 40
|
|
|
|
for(int i=0;i<40;i++) state.chainv[i] = c_IV[i];
|
|
|
|
|
|
|
|
#pragma unroll 8
|
|
|
|
for(int i=0;i<8;i++) state.buffer[i] = 0;
|
|
|
|
|
|
|
|
Update512(&state, (BitSequence*)buff.buf32);
|
|
|
|
finalization512(&state, Hash);
|
|
|
|
|
|
|
|
/* dont ask me why not a simple if (Hash[i] > c_Target[i]) return;
|
|
|
|
* we lose 20% in perfs without the position test */
|
|
|
|
int position = -1;
|
|
|
|
#pragma unroll 8
|
|
|
|
for (int i = 7; i >= 0; i--) {
|
|
|
|
if (Hash[i] > c_Target[i]) {
|
|
|
|
if (position < i) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (Hash[i] < c_Target[i]) {
|
|
|
|
if (position < i) {
|
|
|
|
position = i;
|
|
|
|
//break; /* impact perfs, unroll ? */
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
#if NBN == 1
|
|
|
|
if (resNounce[0] > nounce) {
|
|
|
|
resNounce[0] = nounce;
|
|
|
|
}
|
|
|
|
#else
|
|
|
|
/* keep the smallest nounce, + extra one if found */
|
|
|
|
if (resNounce[0] > nounce) {
|
|
|
|
resNounce[1] = resNounce[0];
|
|
|
|
resNounce[0] = nounce;
|
|
|
|
} else {
|
|
|
|
resNounce[1] = nounce;
|
|
|
|
}
|
|
|
|
#endif
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
__host__
|
|
|
|
void qubit_luffa512_cpu_init(int thr_id, uint32_t threads)
|
|
|
|
{
|
|
|
|
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_IV, h2_IV, sizeof(h2_IV), 0, cudaMemcpyHostToDevice));
|
|
|
|
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_CNS, h2_CNS, sizeof(h2_CNS), 0, cudaMemcpyHostToDevice));
|
|
|
|
CUDA_SAFE_CALL(cudaMalloc(&d_resNounce[thr_id], NBN * sizeof(uint32_t)));
|
|
|
|
CUDA_SAFE_CALL(cudaMallocHost(&h_resNounce[thr_id], NBN * sizeof(uint32_t)));
|
|
|
|
}
|
|
|
|
|
|
|
|
__host__
|
|
|
|
uint32_t qubit_luffa512_cpu_finalhash_80(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_outputHash,int order)
|
|
|
|
{
|
|
|
|
uint32_t result = UINT32_MAX;
|
|
|
|
cudaMemset(d_resNounce[thr_id], 0xff, NBN * sizeof(uint32_t));
|
|
|
|
const uint32_t threadsperblock = 256;
|
|
|
|
|
|
|
|
dim3 grid((threads + threadsperblock-1)/threadsperblock);
|
|
|
|
dim3 block(threadsperblock);
|
|
|
|
|
|
|
|
size_t shared_size = 0;
|
|
|
|
|
|
|
|
qubit_luffa512_gpu_finalhash_80 <<<grid, block, shared_size>>> (threads, startNounce, d_outputHash, d_resNounce[thr_id]);
|
|
|
|
cudaThreadSynchronize();
|
|
|
|
if (cudaSuccess == cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], NBN * sizeof(uint32_t), cudaMemcpyDeviceToHost)) {
|
|
|
|
//cudaThreadSynchronize();
|
|
|
|
result = h_resNounce[thr_id][0];
|
|
|
|
#if NBN > 1
|
|
|
|
extra_results[0] = h_resNounce[thr_id][1];
|
|
|
|
#endif
|
|
|
|
}
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
__host__
|
|
|
|
void qubit_luffa512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_outputHash,int order)
|
|
|
|
{
|
|
|
|
const uint32_t threadsperblock = 256;
|
|
|
|
|
|
|
|
dim3 grid((threads + threadsperblock-1)/threadsperblock);
|
|
|
|
dim3 block(threadsperblock);
|
|
|
|
size_t shared_size = 0;
|
|
|
|
|
|
|
|
qubit_luffa512_gpu_hash_80 <<<grid, block, shared_size>>> (threads, startNounce, d_outputHash);
|
|
|
|
MyStreamSynchronize(NULL, order, thr_id);
|
|
|
|
}
|
|
|
|
|
|
|
|
__host__
|
|
|
|
void qubit_luffa512_cpu_setBlock_80(void *pdata)
|
|
|
|
{
|
|
|
|
unsigned char PaddedMessage[128];
|
|
|
|
|
|
|
|
memcpy(PaddedMessage, pdata, 80);
|
|
|
|
memset(PaddedMessage+80, 0, 48);
|
|
|
|
PaddedMessage[80] = 0x80;
|
|
|
|
PaddedMessage[111] = 1;
|
|
|
|
PaddedMessage[126] = 0x02;
|
|
|
|
PaddedMessage[127] = 0x80;
|
|
|
|
|
|
|
|
CUDA_SAFE_CALL(cudaMemcpyToSymbol( c_PaddedMessage80, PaddedMessage, 16*sizeof(uint64_t), 0, cudaMemcpyHostToDevice));
|
|
|
|
}
|
|
|
|
|
|
|
|
__host__
|
|
|
|
void qubit_luffa512_cpufinal_setBlock_80(void *pdata, const void *ptarget)
|
|
|
|
{
|
|
|
|
unsigned char PaddedMessage[128];
|
|
|
|
|
|
|
|
memcpy(PaddedMessage, pdata, 80);
|
|
|
|
memset(PaddedMessage+80, 0, 48);
|
|
|
|
PaddedMessage[80] = 0x80;
|
|
|
|
PaddedMessage[111] = 1;
|
|
|
|
PaddedMessage[126] = 0x02;
|
|
|
|
PaddedMessage[127] = 0x80;
|
|
|
|
|
|
|
|
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_Target, ptarget, 8*sizeof(uint32_t), 0, cudaMemcpyHostToDevice));
|
|
|
|
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_PaddedMessage80, PaddedMessage, 16*sizeof(uint64_t), 0, cudaMemcpyHostToDevice));
|
|
|
|
}
|