@ -1,16 +1,11 @@
@@ -1,16 +1,11 @@
#include <cuda.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <memory.h>
#define USE_SHUFFLE 0
#include "cuda_helper.h"
// Folgende Definitionen später durch header ersetzen
typedef unsigned char uint8_t;
typedef unsigned int uint32_t;
typedef unsigned long long uint64_t;
#define ROTR(x,n) ROTR64(x,n)
#define USE_SHUFFLE 0
// aus heavy.cu
extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int thr_id);
@ -42,49 +37,8 @@ const uint8_t host_sigma[16][16] =
@@ -42,49 +37,8 @@ const uint8_t host_sigma[16][16] =
{ 2, 12, 6, 10, 0, 11, 8, 3, 4, 13, 7, 5, 15, 14, 1, 9 }
};
// das Hi Word aus einem 64 Bit Typen extrahieren
static __device__ uint32_t HIWORD(const uint64_t &x) {
#if __CUDA_ARCH__ >= 130
return (uint32_t)__double2hiint(__longlong_as_double(x));
#else
return (uint32_t)(x >> 32);
#endif
}
// das Hi Word in einem 64 Bit Typen ersetzen
static __device__ uint64_t REPLACE_HIWORD(const uint64_t &x, const uint32_t &y) {
return (x & 0xFFFFFFFFULL) | (((uint64_t)y) << 32ULL);
}
// das Lo Word aus einem 64 Bit Typen extrahieren
static __device__ uint32_t LOWORD(const uint64_t &x) {
#if __CUDA_ARCH__ >= 130
return (uint32_t)__double2loint(__longlong_as_double(x));
#else
return (uint32_t)(x & 0xFFFFFFFFULL);
#endif
}
#if 0
// das Lo Word in einem 64 Bit Typen ersetzen
static __device__ uint64_t REPLACE_LOWORD(const uint64_t &x, const uint32_t &y) {
return (x & 0xFFFFFFFF00000000ULL) | ((uint64_t)y);
}
#endif
__device__ __forceinline__ uint64_t SWAP64(uint64_t x)
{
// Input: 77665544 33221100
// Output: 00112233 44556677
uint64_t temp[2];
temp[0] = __byte_perm(HIWORD(x), 0, 0x0123);
temp[1] = __byte_perm(LOWORD(x), 0, 0x0123);
return temp[0] | (temp[1]<<32);
}
__constant__ uint64_t c_u512[16];
const uint64_t host_u512[16] =
__device__ __constant__
const uint64_t c_u512[16] =
{
0x243f6a8885a308d3ULL, 0x13198a2e03707344ULL,
0xa4093822299f31d0ULL, 0x082efa98ec4e6c89ULL,
@ -96,24 +50,6 @@ const uint64_t host_u512[16] =
@@ -96,24 +50,6 @@ const uint64_t host_u512[16] =
0x0801f2e2858efc16ULL, 0x636920d871574e69ULL
};
// diese 64 Bit Rotates werden unter Compute 3.5 (und besser) mit dem Funnel Shifter beschleunigt
#if __CUDA_ARCH__ >= 350
__forceinline__ __device__ uint64_t ROTR(const uint64_t value, const int offset) {
uint2 result;
if(offset < 32) {
asm("shf.r.wrap.b32 %0, %1, %2, %3;" : "=r"(result.x) : "r"(__double2loint(__longlong_as_double(value))), "r"(__double2hiint(__longlong_as_double(value))), "r"(offset));
asm("shf.r.wrap.b32 %0, %1, %2, %3;" : "=r"(result.y) : "r"(__double2hiint(__longlong_as_double(value))), "r"(__double2loint(__longlong_as_double(value))), "r"(offset));
} else {
asm("shf.r.wrap.b32 %0, %1, %2, %3;" : "=r"(result.x) : "r"(__double2hiint(__longlong_as_double(value))), "r"(__double2loint(__longlong_as_double(value))), "r"(offset));
asm("shf.r.wrap.b32 %0, %1, %2, %3;" : "=r"(result.y) : "r"(__double2loint(__longlong_as_double(value))), "r"(__double2hiint(__longlong_as_double(value))), "r"(offset));
}
return __double_as_longlong(__hiloint2double(result.y, result.x));
}
#else
#define ROTR(x, n) (((x) >> (n)) | ((x) << (64 - (n))))
#endif
#define G(a,b,c,d,e) \
v[a] += (m[sigma[i][e]] ^ u512[sigma[i][e+1]]) + v[b];\
v[d] = ROTR( v[d] ^ v[a],32); \
@ -125,14 +61,14 @@ __forceinline__ __device__ uint64_t ROTR(const uint64_t value, const int offset)
@@ -125,14 +61,14 @@ __forceinline__ __device__ uint64_t ROTR(const uint64_t value, const int offset)
v[b] = ROTR( v[b] ^ v[c],11);
__device__ void quark_blake512_compress( uint64_t *h, const uint64_t *block, const uint8_t ((*sigma)[16]), const uint64_t *u512, const int bits )
__device__ static
void quark_blake512_compress( uint64_t *h, const uint64_t *block, const uint8_t ((*sigma)[16]), const uint64_t *u512, const int bits )
{
uint64_t v[16], m[16], i;
#pragma unroll 16
for( i = 0; i < 16; ++i )
{
m[i] = SWAP64(block[i]);
for( i = 0; i < 16; ++i ) {
m[i] = cuda_swab64(block[i]);
}
#pragma unroll 8
@ -169,24 +105,8 @@ __device__ void quark_blake512_compress( uint64_t *h, const uint64_t *block, con
@@ -169,24 +105,8 @@ __device__ void quark_blake512_compress( uint64_t *h, const uint64_t *block, con
for( i = 0; i < 16; ++i ) h[i % 8] ^= v[i];
}
// Endian Drehung für 32 Bit Typen
static __device__ uint32_t cuda_swab32(uint32_t x)
{
return __byte_perm(x, 0, 0x0123);
}
/*
// Endian Drehung für 64 Bit Typen
static __device__ uint64_t cuda_swab64(uint64_t x) {
uint32_t h = (x >> 32);
uint32_t l = (x & 0xFFFFFFFFULL);
return (((uint64_t)cuda_swab32(l)) << 32) | ((uint64_t)cuda_swab32(h));
}
*/
static __constant__ uint64_t d_constMem[8];
static const uint64_t h_constMem[8] = {
__device__ __constant__
static const uint64_t d_constMem[8] = {
0x6a09e667f3bcc908ULL,
0xbb67ae8584caa73bULL,
0x3c6ef372fe94f82bULL,
@ -197,8 +117,8 @@ static const uint64_t h_constMem[8] = {
@@ -197,8 +117,8 @@ static const uint64_t h_constMem[8] = {
0x5be0cd19137e2179ULL };
// Hash-Padding
static __constant__ uint64_t d_constHashPadding[8];
static const uint64_t h _constHashPadding[8] = {
__device__ __constant__
static const uint64_t d _constHashPadding[8] = {
0x0000000000000080ull,
0,
0,
@ -208,7 +128,8 @@ static const uint64_t h_constHashPadding[8] = {
@@ -208,7 +128,8 @@ static const uint64_t h_constHashPadding[8] = {
0,
0x0002000000000000ull };
__global__ __launch_bounds__(256, 2) void quark_blake512_gpu_hash_64(int threads, uint32_t startNounce, uint32_t *g_nonceVector, uint64_t *g_hash)
__global__ __launch_bounds__(256, 4)
void quark_blake512_gpu_hash_64(int threads, uint32_t startNounce, uint32_t *g_nonceVector, uint64_t *g_hash)
{
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
@ -224,70 +145,49 @@ __global__ __launch_bounds__(256, 2) void quark_blake512_gpu_hash_64(int threads
@@ -224,70 +145,49 @@ __global__ __launch_bounds__(256, 2) void quark_blake512_gpu_hash_64(int threads
if (thread < threads)
#endif
{
uint8_t i;
// bestimme den aktuellen Zähler
uint32_t nounce = (g_nonceVector != NULL) ? g_nonceVector[thread] : (startNounce + thread);
int hashPosition = nounce - startNounce;
//uint64_t *inpHash = &g_hash[8 * hashPosition];
uint64_t *inpHash = &g_hash[hashPosition<<3];
uint64_t *inpHash = &g_hash[hashPosition<<3]; // hashPosition * 8
// 128 Byte für die Message
uint64_t buf[16];
// State vorbereiten
uint64_t h[8];
/*
h[0] = 0x6a09e667f3bcc908ULL;
h[1] = 0xbb67ae8584caa73bULL;
h[2] = 0x3c6ef372fe94f82bULL;
h[3] = 0xa54ff53a5f1d36f1ULL;
h[4] = 0x510e527fade682d1ULL;
h[5] = 0x9b05688c2b3e6c1fULL;
h[6] = 0x1f83d9abfb41bd6bULL;
h[7] = 0x5be0cd19137e2179ULL;
*/
#pragma unroll 8
for(int i=0;i<8;i++)
for (i=0;i<8;i++)
h[i] = d_constMem[i];
// 128 Byte für die Message
uint64_t buf[16];
// Message für die erste Runde in Register holen
#pragma unroll 8
for (int i=0; i < 8; ++i) buf[i] = inpHash[i];
/*
buf[ 8] = 0x0000000000000080ull;
buf[ 9] = 0;
buf[10] = 0;
buf[11] = 0;
buf[12] = 0;
buf[13] = 0x0100000000000000ull;
buf[14] = 0;
buf[15] = 0x0002000000000000ull;
*/
for (i=0; i < 8; ++i)
buf[i] = inpHash[i];
#pragma unroll 8
for(int i=0;i<8;i++)
for (i=0; i < 8; i++)
buf[i+8] = d_constHashPadding[i];
// die einzige Hashing-Runde
quark_blake512_compress( h, buf, c_sigma, c_u512, 512 );
// Hash rauslassen
#if __CUDA_ARCH__ >= 130
// ausschliesslich 32 bit Operationen sofern die SM1.3 double intrinsics verfügbar sind
uint32_t *outHash = (uint32_t*)&g_hash[8 * hashPosition];
#pragma unroll 8
for (int i =0; i < 8; ++i) {
outHash[2*i+0] = cuda_swab32( HIWORD(h[i]) );
outHash[2*i+1] = cuda_swab32( LOWORD(h[i]) );
for (i=0; i < 8; ++i) {
outHash[2*i+0] = cuda_swab32( _ HIWORD(h[i]) );
outHash[2*i+1] = cuda_swab32( _ LOWORD(h[i]) );
}
#else
// in dieser Version passieren auch ein paar 64 Bit Shifts
uint64_t *outHash = &g_hash[8 * hashPosition];
#pragma unroll 8
for (int i =0; i < 8; ++i)
for (i=0; i < 8; ++i)
{
//outHash[i] = cuda_swab64( h[i] );
outHash[i] = SWAP64(h[i]);
outHash[i] = cuda_swab64(h[i]);
}
#endif
}
@ -298,30 +198,21 @@ __global__ void quark_blake512_gpu_hash_80(int threads, uint32_t startNounce, vo
@@ -298,30 +198,21 @@ __global__ void quark_blake512_gpu_hash_80(int threads, uint32_t startNounce, vo
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
// State vorbereiten
uint64_t h[8];
// 128 Byte für die Message
uint64_t buf[16];
uint8_t i;
// bestimme den aktuellen Zähler
uint32_t nounce = startNounce + thread;
// State vorbereiten
uint64_t h[8];
/*
h[0] = 0x6a09e667f3bcc908ULL;
h[1] = 0xbb67ae8584caa73bULL;
h[2] = 0x3c6ef372fe94f82bULL;
h[3] = 0xa54ff53a5f1d36f1ULL;
h[4] = 0x510e527fade682d1ULL;
h[5] = 0x9b05688c2b3e6c1fULL;
h[6] = 0x1f83d9abfb41bd6bULL;
h[7] = 0x5be0cd19137e2179ULL;
*/
#pragma unroll 8
for(int i =0;i<8;i++)
for(i=0;i<8;i++)
h[i] = d_constMem[i];
// 128 Byte für die Message
uint64_t buf[16];
// Message für die erste Runde in Register holen
#pragma unroll 16
for (int i =0; i < 16; ++i) buf[i] = c_PaddedMessage80[i];
for (i=0; i < 16; ++i) buf[i] = c_PaddedMessage80[i];
// die Nounce durch die thread-spezifische ersetzen
buf[9] = REPLACE_HIWORD(buf[9], cuda_swab32(nounce));
@ -334,18 +225,16 @@ __global__ void quark_blake512_gpu_hash_80(int threads, uint32_t startNounce, vo
@@ -334,18 +225,16 @@ __global__ void quark_blake512_gpu_hash_80(int threads, uint32_t startNounce, vo
// ausschliesslich 32 bit Operationen sofern die SM1.3 double intrinsics verfügbar sind
uint32_t *outHash = (uint32_t *)outputHash + 16 * thread;
#pragma unroll 8
for (int i =0; i < 8; ++i) {
outHash[2*i+0] = cuda_swab32( HIWORD(h[i]) );
outHash[2*i+1] = cuda_swab32( LOWORD(h[i]) );
for (i=0; i < 8; ++i) {
outHash[2*i+0] = cuda_swab32( _ HIWORD(h[i]) );
outHash[2*i+1] = cuda_swab32( _ LOWORD(h[i]) );
}
#else
// in dieser Version passieren auch ein paar 64 Bit Shifts
uint64_t *outHash = (uint64_t *)outputHash + 8 * thread;
#pragma unroll 8
for (int i=0; i < 8; ++i)
{
//outHash[i] = cuda_swab64( h[i] );
outHash[i] = SWAP64(h[i]);
for (i=0; i < 8; ++i) {
outHash[i] = cuda_swab64( h[i] );
}
#endif
}
@ -362,21 +251,6 @@ __host__ void quark_blake512_cpu_init(int thr_id, int threads)
@@ -362,21 +251,6 @@ __host__ void quark_blake512_cpu_init(int thr_id, int threads)
host_sigma,
sizeof(host_sigma),
0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( c_u512,
host_u512,
sizeof(host_u512),
0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( d_constMem,
h_constMem,
sizeof(h_constMem),
0, cudaMemcpyHostToDevice);
cudaMemcpyToSymbol( d_constHashPadding,
h_constHashPadding,
sizeof(h_constHashPadding),
0, cudaMemcpyHostToDevice);
}
// Blake512 für 80 Byte grosse Eingangsdaten
Tanguy Pruvot
10 years ago