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GOSTcoin support for ccminer CUDA miner project, compatible with most nvidia cards
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ccminer/cuda_hefty1.cu

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#include <cuda.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
// aus cpu-miner.c
extern int device_map[8];
#include <stdio.h>
#include <memory.h>
#define USE_SHARED 1
// Folgende Definitionen später durch header ersetzen
typedef unsigned int uint32_t;
typedef unsigned char uint8_t;
typedef unsigned short uint16_t;
// diese Struktur wird in der Init Funktion angefordert
static cudaDeviceProp props;
// globaler Speicher für alle HeftyHashes aller Threads
uint32_t *d_heftyHashes[8];
/* Hash-Tabellen */
__constant__ uint32_t hefty_gpu_constantTable[64];
#if USE_SHARED
#define heftyLookUp(x) (*((uint32_t*)heftytab + (x)))
#else
#define heftyLookUp(x) hefty_gpu_constantTable[x]
#endif
// muss expandiert werden
__constant__ uint32_t hefty_gpu_blockHeader[16]; // 2x512 Bit Message
__constant__ uint32_t hefty_gpu_register[8];
__constant__ uint32_t hefty_gpu_sponge[4];
uint32_t hefty_cpu_hashTable[] = {
0x6a09e667UL,
0xbb67ae85UL,
0x3c6ef372UL,
0xa54ff53aUL,
0x510e527fUL,
0x9b05688cUL,
0x1f83d9abUL,
0x5be0cd19UL };
uint32_t hefty_cpu_constantTable[] = {
0x428a2f98UL, 0x71374491UL, 0xb5c0fbcfUL, 0xe9b5dba5UL,
0x3956c25bUL, 0x59f111f1UL, 0x923f82a4UL, 0xab1c5ed5UL,
0xd807aa98UL, 0x12835b01UL, 0x243185beUL, 0x550c7dc3UL,
0x72be5d74UL, 0x80deb1feUL, 0x9bdc06a7UL, 0xc19bf174UL,
0xe49b69c1UL, 0xefbe4786UL, 0x0fc19dc6UL, 0x240ca1ccUL,
0x2de92c6fUL, 0x4a7484aaUL, 0x5cb0a9dcUL, 0x76f988daUL,
0x983e5152UL, 0xa831c66dUL, 0xb00327c8UL, 0xbf597fc7UL,
0xc6e00bf3UL, 0xd5a79147UL, 0x06ca6351UL, 0x14292967UL,
0x27b70a85UL, 0x2e1b2138UL, 0x4d2c6dfcUL, 0x53380d13UL,
0x650a7354UL, 0x766a0abbUL, 0x81c2c92eUL, 0x92722c85UL,
0xa2bfe8a1UL, 0xa81a664bUL, 0xc24b8b70UL, 0xc76c51a3UL,
0xd192e819UL, 0xd6990624UL, 0xf40e3585UL, 0x106aa070UL,
0x19a4c116UL, 0x1e376c08UL, 0x2748774cUL, 0x34b0bcb5UL,
0x391c0cb3UL, 0x4ed8aa4aUL, 0x5b9cca4fUL, 0x682e6ff3UL,
0x748f82eeUL, 0x78a5636fUL, 0x84c87814UL, 0x8cc70208UL,
0x90befffaUL, 0xa4506cebUL, 0xbef9a3f7UL, 0xc67178f2UL
};
//#define S(x, n) (((x) >> (n)) | ((x) << (32 - (n))))
static __host__ __device__ uint32_t S(uint32_t x, int n)
{
return (((x) >> (n)) | ((x) << (32 - (n))));
}
#define R(x, n) ((x) >> (n))
#define Ch(x, y, z) ((x & (y ^ z)) ^ z)
#define Maj(x, y, z) ((x & (y | z)) | (y & z))
#define S0(x) (S(x, 2) ^ S(x, 13) ^ S(x, 22))
#define S1(x) (S(x, 6) ^ S(x, 11) ^ S(x, 25))
#define s0(x) (S(x, 7) ^ S(x, 18) ^ R(x, 3))
#define s1(x) (S(x, 17) ^ S(x, 19) ^ R(x, 10))
#define SWAB32(x) ( ((x & 0x000000FF) << 24) | ((x & 0x0000FF00) << 8) | ((x & 0x00FF0000) >> 8) | ((x & 0xFF000000) >> 24) )
// uint8_t
#define smoosh4(x) ( ((x)>>4) ^ ((x) & 0x0F) )
__host__ __forceinline__ __device__ uint8_t smoosh2(uint32_t x)
{
uint16_t w = (x >> 16) ^ (x & 0xffff);
uint8_t n = smoosh4( (uint8_t)( (w >> 8) ^ (w & 0xFF) ) );
return 24 - (((n >> 2) ^ (n & 0x03)) << 3);
}
// 4 auf einmal
#define smoosh4Quad(x) ( (((x)>>4) ^ (x)) & 0x0F0F0F0F )
#define getByte(x,y) ( ((x) >> (y)) & 0xFF )
__host__ __forceinline__ __device__ void Mangle(uint32_t *inp)
{
uint32_t r = smoosh4Quad(inp[0]);
uint32_t inp0org;
uint32_t tmp0Mask, tmp1Mask;
uint32_t in1, in2, isAddition;
uint32_t tmp;
uint8_t b;
inp[1] = inp[1] ^ S(inp[0], getByte(r, 24));
r += 0x01010101;
tmp = smoosh2(inp[1]);
b = getByte(r,tmp);
inp0org = S(inp[0], b);
tmp0Mask = -((tmp >> 3)&1); // Bit 3 an Position 0
tmp1Mask = -((tmp >> 4)&1); // Bit 4 an Position 0
in1 = (inp[2] & ~inp0org) |
(tmp1Mask & ~inp[2] & inp0org) |
(~tmp0Mask & ~inp[2] & inp0org);
in2 = inp[2] += ~inp0org;
isAddition = ~tmp0Mask & tmp1Mask;
inp[2] = isAddition ? in2 : in1;
r += 0x01010101;
tmp = smoosh2(inp[1] ^ inp[2]);
b = getByte(r,tmp);
inp0org = S(inp[0], b);
tmp0Mask = -((tmp >> 3)&1); // Bit 3 an Position 0
tmp1Mask = -((tmp >> 4)&1); // Bit 4 an Position 0
in1 = (inp[3] & ~inp0org) |
(tmp1Mask & ~inp[3] & inp0org) |
(~tmp0Mask & ~inp[3] & inp0org);
in2 = inp[3] += ~inp0org;
isAddition = ~tmp0Mask & tmp1Mask;
inp[3] = isAddition ? in2 : in1;
inp[0] ^= (inp[1] ^ inp[2]) + inp[3];
}
__host__ __forceinline__ __device__ void Absorb(uint32_t *inp, uint32_t x)
{
inp[0] ^= x;
Mangle(inp);
}
__host__ __forceinline__ __device__ uint32_t Squeeze(uint32_t *inp)
{
uint32_t y = inp[0];
Mangle(inp);
return y;
}
__host__ __forceinline__ __device__ uint32_t Br(uint32_t *sponge, uint32_t x)
{
uint32_t r = Squeeze(sponge);
uint32_t t = ((r >> 8) & 0x1F);
uint32_t y = 1 << t;
uint32_t a = (((r>>1) & 0x01) << t) & y;
uint32_t b = ((r & 0x01) << t) & y;
uint32_t c = x & y;
uint32_t retVal = (x & ~y) | (~b & c) | (a & ~c);
return retVal;
}
__forceinline__ __device__ void hefty_gpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t *sponge)
{
uint32_t tmpBr;
uint32_t brG = Br(sponge, regs[6]);
uint32_t brF = Br(sponge, regs[5]);
uint32_t tmp1 = Ch(regs[4], brF, brG) + regs[7] + W + K;
uint32_t brE = Br(sponge, regs[4]);
uint32_t tmp2 = tmp1 + S1(brE);
uint32_t brC = Br(sponge, regs[2]);
uint32_t brB = Br(sponge, regs[1]);
uint32_t brA = Br(sponge, regs[0]);
uint32_t tmp3 = Maj(brA, brB, brC);
tmpBr = Br(sponge, regs[0]);
uint32_t tmp4 = tmp3 + S0(tmpBr);
tmpBr = Br(sponge, tmp2);
#pragma unroll 7
for (int k=6; k >= 0; k--) regs[k+1] = regs[k];
regs[0] = tmp2 + tmp4;
regs[4] += tmpBr;
}
__host__ void hefty_cpu_round(uint32_t *regs, uint32_t W, uint32_t K, uint32_t *sponge)
{
uint32_t tmpBr;
uint32_t brG = Br(sponge, regs[6]);
uint32_t brF = Br(sponge, regs[5]);
uint32_t tmp1 = Ch(regs[4], brF, brG) + regs[7] + W + K;
uint32_t brE = Br(sponge, regs[4]);
uint32_t tmp2 = tmp1 + S1(brE);
uint32_t brC = Br(sponge, regs[2]);
uint32_t brB = Br(sponge, regs[1]);
uint32_t brA = Br(sponge, regs[0]);
uint32_t tmp3 = Maj(brA, brB, brC);
tmpBr = Br(sponge, regs[0]);
uint32_t tmp4 = tmp3 + S0(tmpBr);
tmpBr = Br(sponge, tmp2);
for (int k=6; k >= 0; k--) regs[k+1] = regs[k];
regs[0] = tmp2 + tmp4;
regs[4] += tmpBr;
}
// Die Hash-Funktion
__global__ void hefty_gpu_hash(int threads, uint32_t startNounce, void *outputHash)
{
#if USE_SHARED
extern __shared__ char heftytab[];
if(threadIdx.x < 64)
{
*((uint32_t*)heftytab + threadIdx.x) = hefty_gpu_constantTable[threadIdx.x];
}
__syncthreads();
#endif
int thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
// bestimme den aktuellen Zähler
uint32_t nounce = startNounce + thread;
// jeder thread in diesem Block bekommt sein eigenes W Array im Shared memory
// reduktion von 256 byte auf 128 byte
uint32_t W1[16];
uint32_t W2[16];
// Initialisiere die register a bis h mit der Hash-Tabelle
uint32_t regs[8];
uint32_t hash[8];
uint32_t sponge[4];
#pragma unroll 4
for(int k=0; k < 4; k++)
sponge[k] = hefty_gpu_sponge[k];
// pre
#pragma unroll 8
for (int k=0; k < 8; k++)
{
regs[k] = hefty_gpu_register[k];
hash[k] = regs[k];
}
//memcpy(W, &hefty_gpu_blockHeader[0], sizeof(uint32_t) * 16); // verbleibende 20 bytes aus Block 2 plus padding
#pragma unroll 16
for(int k=0;k<16;k++)
W1[k] = hefty_gpu_blockHeader[k];
W1[3] = SWAB32(nounce);
// 2. Runde
#pragma unroll 16
for(int j=0;j<16;j++)
Absorb(sponge, W1[j] ^ heftyLookUp(j));
// Progress W1 (Bytes 0...63)
#pragma unroll 16
for(int j=0;j<16;j++)
{
Absorb(sponge, regs[3] ^ regs[7]);
hefty_gpu_round(regs, W1[j], heftyLookUp(j), sponge);
}
// Progress W2 (Bytes 64...127) then W3 (Bytes 128...191) ...
#pragma unroll 3
for(int k=0;k<3;k++)
{
#pragma unroll 2
for(int j=0;j<2;j++)
W2[j] = s1(W1[14+j]) + W1[9+j] + s0(W1[1+j]) + W1[j];
#pragma unroll 5
for(int j=2;j<7;j++)
W2[j] = s1(W2[j-2]) + W1[9+j] + s0(W1[1+j]) + W1[j];
#pragma unroll 8
for(int j=7;j<15;j++)
W2[j] = s1(W2[j-2]) + W2[j-7] + s0(W1[1+j]) + W1[j];
W2[15] = s1(W2[13]) + W2[8] + s0(W2[0]) + W1[15];
#pragma unroll 16
for(int j=0;j<16;j++)
{
Absorb(sponge, regs[3] + regs[7]);
hefty_gpu_round(regs, W2[j], heftyLookUp(j + 16 * (k+1)), sponge);
}
#pragma unroll 16
for(int j=0;j<16;j++)
W1[j] = W2[j];
}
#pragma unroll 8
for(int k=0;k<8;k++)
hash[k] += regs[k];
#pragma unroll 8
for(int k=0;k<8;k++)
((uint32_t*)outputHash)[8*thread+k] = SWAB32(hash[k]);
}
}
// Setup-Funktionen
__host__ void hefty_cpu_init(int thr_id, int threads)
{
cudaSetDevice(device_map[thr_id]);
cudaGetDeviceProperties(&props, device_map[thr_id]);
// Kopiere die Hash-Tabellen in den GPU-Speicher
cudaMemcpyToSymbol( hefty_gpu_constantTable,
hefty_cpu_constantTable,
sizeof(uint32_t) * 64 );
// Speicher für alle Hefty1 hashes belegen
cudaMalloc(&d_heftyHashes[thr_id], 8 * sizeof(uint32_t) * threads);
}
__host__ void hefty_cpu_setBlock(int thr_id, int threads, void *data)
// data muss 84-Byte haben!
{
// Nachricht expandieren und setzen
uint32_t msgBlock[32];
memset(msgBlock, 0, sizeof(uint32_t) * 32);
memcpy(&msgBlock[0], data, 84);
msgBlock[21] |= 0x80;
msgBlock[31] = 672; // bitlen
for(int i=0;i<31;i++) // Byteorder drehen
msgBlock[i] = SWAB32(msgBlock[i]);
// die erste Runde wird auf der CPU durchgeführt, da diese für
// alle Threads gleich ist. Der Hash wird dann an die Threads
// übergeben
// Erstelle expandierten Block W
uint32_t W[64];
memcpy(W, &msgBlock[0], sizeof(uint32_t) * 16);
for(int j=16;j<64;j++)
W[j] = s1(W[j-2]) + W[j-7] + s0(W[j-15]) + W[j-16];
// Initialisiere die register a bis h mit der Hash-Tabelle
uint32_t regs[8];
uint32_t hash[8];
uint32_t sponge[4];
// pre
memset(sponge, 0, sizeof(uint32_t) * 4);
for (int k=0; k < 8; k++)
{
regs[k] = hefty_cpu_hashTable[k];
hash[k] = regs[k];
}
// 1. Runde
for(int j=0;j<16;j++)
Absorb(sponge, W[j] ^ hefty_cpu_constantTable[j]);
for(int j=0;j<16;j++)
{
Absorb(sponge, regs[3] ^ regs[7]);
hefty_cpu_round(regs, W[j], hefty_cpu_constantTable[j], sponge);
}
for(int j=16;j<64;j++)
{
Absorb(sponge, regs[3] + regs[7]);
hefty_cpu_round(regs, W[j], hefty_cpu_constantTable[j], sponge);
}
for(int k=0;k<8;k++)
hash[k] += regs[k];
// sponge speichern
cudaMemcpyToSymbol( hefty_gpu_sponge,
sponge,
sizeof(uint32_t) * 4 );
// hash speichern
cudaMemcpyToSymbol( hefty_gpu_register,
hash,
sizeof(uint32_t) * 8 );
// Blockheader setzen (korrekte Nonce fehlt da drin noch)
cudaMemcpyToSymbol( hefty_gpu_blockHeader,
&msgBlock[16],
64);
}
__host__ void hefty_cpu_hash(int thr_id, int threads, int startNounce)
{
// Compute 3.x und 5.x Geräte am besten mit 768 Threads ansteuern,
// alle anderen mit 512 Threads.
int threadsperblock = (props.major >= 3) ? 768 : 512;
// berechne wie viele Thread Blocks wir brauchen
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
#if USE_SHARED
size_t shared_size = 8 * 64 * sizeof(uint32_t);
#else
size_t shared_size = 0;
#endif
// fprintf(stderr, "threads=%d, %d blocks, %d threads per block, %d bytes shared\n", threads, grid.x, block.x, shared_size);
hefty_gpu_hash<<<grid, block, shared_size>>>(threads, startNounce, (void*)d_heftyHashes[thr_id]);
}