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myr-gr: handle a second nonce & more cleanup

2upstream
Tanguy Pruvot 8 years ago
parent
374174c7c8
commit
06e2485128
2 changed files with 108 additions and 127 deletions
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  1. 207
      cuda_myriadgroestl.cu
  2. 28
      myriadgroestl.cpp

207
cuda_myriadgroestl.cu
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@ -8,6 +8,7 @@ @@ -8,6 +8,7 @@
#ifdef __INTELLISENSE__
#define __CUDA_ARCH__ 500
#define __funnelshift_r(x,y,n) (x >> n)
#define atomicExch(p,x) x
#endif
#if __CUDA_ARCH__ >= 300
@ -17,10 +18,10 @@ @@ -17,10 +18,10 @@
#endif
// globaler Speicher für alle HeftyHashes aller Threads
__constant__ uint32_t pTarget[8]; // Single GPU
static uint32_t *d_outputHashes[MAX_GPUS];
static uint32_t *d_resultNonce[MAX_GPUS];
static uint32_t *d_resultNonces[MAX_GPUS];
__constant__ uint32_t pTarget[2]; // Same for all GPU
__constant__ uint32_t myriadgroestl_gpu_msg[32];
// muss expandiert werden
@ -67,33 +68,25 @@ const uint32_t myr_sha256_cpu_w2Table[] = { @@ -67,33 +68,25 @@ const uint32_t myr_sha256_cpu_w2Table[] = {
#define s0(x) (ROTR32(x, 7) ^ ROTR32(x, 18) ^ R(x, 3))
#define s1(x) (ROTR32(x, 17) ^ ROTR32(x, 19) ^ R(x, 10))
__device__ void myriadgroestl_gpu_sha256(uint32_t *message)
__device__ __forceinline__
void myriadgroestl_gpu_sha256(uint32_t *message)
{
uint32_t regs[8], hash[8];
const uint32_t myr_sha256_gpu_hashTable[8] = {
0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a, 0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19
};
// pre
#pragma unroll 8
for (int k=0; k < 8; k++)
{
regs[k] = myr_sha256_gpu_hashTable[k];
hash[k] = regs[k];
}
uint32_t W1[16];
#pragma unroll 16
#pragma unroll
for(int k=0; k<16; k++)
W1[k] = SWAB32(message[k]);
uint32_t regs[8] = {
0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a,
0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19
};
// Progress W1
#pragma unroll 16
#pragma unroll
for(int j=0; j<16; j++)
{
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j] + W1[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
uint32_t T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j] + W1[j];
uint32_t T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int k=6; k >= 0; k--) regs[k+1] = regs[k];
@ -105,27 +98,26 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message) @@ -105,27 +98,26 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message)
uint32_t W2[16];
////// PART 1
#pragma unroll 2
#pragma unroll
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++)
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
#pragma unroll
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];
// Round function
#pragma unroll 16
#pragma unroll
for(int j=0; j<16; j++)
{
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j + 16] + W2[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
uint32_t T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j + 16] + W2[j];
uint32_t T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int l=6; l >= 0; l--) regs[l+1] = regs[l];
@ -134,26 +126,25 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message) @@ -134,26 +126,25 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message)
}
////// PART 2
#pragma unroll 2
#pragma unroll
for(int j=0; j<2; j++)
W1[j] = s1(W2[14+j]) + W2[9+j] + s0(W2[1+j]) + W2[j];
#pragma unroll 5
for(int j=2; j<7; j++)
W1[j] = s1(W1[j-2]) + W2[9+j] + s0(W2[1+j]) + W2[j];
#pragma unroll 8
#pragma unroll
for(int j=7; j<15; j++)
W1[j] = s1(W1[j-2]) + W1[j-7] + s0(W2[1+j]) + W2[j];
W1[15] = s1(W1[13]) + W1[8] + s0(W1[0]) + W2[15];
// Round function
#pragma unroll 16
#pragma unroll
for(int j=0; j<16; j++)
{
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j + 32] + W1[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
uint32_t T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j + 32] + W1[j];
uint32_t T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int l=6; l >= 0; l--) regs[l+1] = regs[l];
@ -162,26 +153,26 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message) @@ -162,26 +153,26 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message)
}
////// PART 3
#pragma unroll 2
#pragma unroll
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
#pragma unroll
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];
// Round function
#pragma unroll 16
#pragma unroll
for(int j=0; j<16; j++)
{
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j + 48] + W2[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
uint32_t T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable[j + 48] + W2[j];
uint32_t T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int l=6; l >= 0; l--) regs[l+1] = regs[l];
@ -189,6 +180,11 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message) @@ -189,6 +180,11 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message)
regs[4] += T1;
}
uint32_t hash[8] = {
0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a,
0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19
};
#pragma unroll 8
for(int k=0; k<8; k++)
hash[k] += regs[k];
@ -196,17 +192,16 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message) @@ -196,17 +192,16 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message)
/////
///// 2nd Round (wegen Msg-Padding)
/////
#pragma unroll 8
#pragma unroll
for(int k=0; k<8; k++)
regs[k] = hash[k];
// Progress W1
#pragma unroll 64
#pragma unroll
for(int j=0; j<64; j++)
{
uint32_t T1, T2;
T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable2[j];
T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
uint32_t T1 = regs[7] + S1(regs[4]) + Ch(regs[4], regs[5], regs[6]) + myr_sha256_gpu_constantTable2[j];
uint32_t T2 = S0(regs[0]) + Maj(regs[0], regs[1], regs[2]);
#pragma unroll 7
for (int k=6; k >= 0; k--) regs[k+1] = regs[k];
@ -214,15 +209,48 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message) @@ -214,15 +209,48 @@ __device__ void myriadgroestl_gpu_sha256(uint32_t *message)
regs[4] += T1;
}
#pragma unroll 8
#if 0
// Full sha hash
#pragma unroll
for(int k=0; k<8; k++)
hash[k] += regs[k];
//// Close
#pragma unroll 8
#pragma unroll
for(int k=0; k<8; k++)
message[k] = SWAB32(hash[k]);
#else
message[6] = SWAB32(hash[6] + regs[6]);
message[7] = SWAB32(hash[7] + regs[7]);
#endif
}
__global__
//__launch_bounds__(256, 6) // we want <= 40 regs
void myriadgroestl_gpu_hash_sha(uint32_t threads, uint32_t startNounce, uint32_t *hashBuffer, uint32_t *resNonces)
{
#if __CUDA_ARCH__ >= 300
const uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
const uint32_t nonce = startNounce + thread;
uint32_t out_state[16];
uint32_t *inpHash = &hashBuffer[16 * thread];
#pragma unroll 16
for (int i=0; i < 16; i++)
out_state[i] = inpHash[i];
myriadgroestl_gpu_sha256(out_state);
if (out_state[7] <= pTarget[1] && out_state[6] <= pTarget[0])
{
uint32_t tmp = atomicExch(&resNonces[0], nonce);
if (tmp != UINT32_MAX)
resNonces[1] = tmp;
}
}
#endif
}
__global__
@ -248,7 +276,6 @@ void myriadgroestl_gpu_hash_quad(uint32_t threads, uint32_t startNounce, uint32_ @@ -248,7 +276,6 @@ void myriadgroestl_gpu_hash_quad(uint32_t threads, uint32_t startNounce, uint32_
to_bitslice_quad(paddedInput, msgBitsliced);
uint32_t state[8];
groestl512_progressMessage_quad(state, msgBitsliced);
uint32_t out_state[16];
@ -264,49 +291,6 @@ void myriadgroestl_gpu_hash_quad(uint32_t threads, uint32_t startNounce, uint32_ @@ -264,49 +291,6 @@ void myriadgroestl_gpu_hash_quad(uint32_t threads, uint32_t startNounce, uint32_
#endif
}
__global__
void myriadgroestl_gpu_hash_quad2(uint32_t threads, uint32_t startNounce, uint32_t *resNounce, uint32_t *hashBuffer)
{
#if __CUDA_ARCH__ >= 300
uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
uint32_t nounce = startNounce + thread;
uint32_t out_state[16];
uint32_t *inpHash = &hashBuffer[16 * thread];
#pragma unroll 16
for (int i=0; i < 16; i++)
out_state[i] = inpHash[i];
myriadgroestl_gpu_sha256(out_state);
int i, position = -1;
bool rc = true;
#pragma unroll 8
for (i = 7; i >= 0; i--) {
if (out_state[i] > pTarget[i]) {
if(position < i) {
position = i;
rc = false;
}
}
if (out_state[i] < pTarget[i]) {
if(position < i) {
position = i;
rc = true;
}
}
}
if(rc && resNounce[0] > nounce)
resNounce[0] = nounce;
}
#endif
}
// Setup Function
__host__
void myriadgroestl_cpu_init(int thr_id, uint32_t threads)
@ -315,9 +299,7 @@ void myriadgroestl_cpu_init(int thr_id, uint32_t threads) @@ -315,9 +299,7 @@ void myriadgroestl_cpu_init(int thr_id, uint32_t threads)
for(int i=0; i<64; i++)
temp[i] = myr_sha256_cpu_w2Table[i] + myr_sha256_cpu_constantTable[i];
cudaMemcpyToSymbol( myr_sha256_gpu_constantTable2,
temp,
sizeof(uint32_t) * 64 );
cudaMemcpyToSymbol( myr_sha256_gpu_constantTable2, temp, sizeof(uint32_t) * 64 );
cudaMemcpyToSymbol( myr_sha256_gpu_constantTable,
myr_sha256_cpu_constantTable,
@ -327,36 +309,26 @@ void myriadgroestl_cpu_init(int thr_id, uint32_t threads) @@ -327,36 +309,26 @@ void myriadgroestl_cpu_init(int thr_id, uint32_t threads)
cuda_get_arch(thr_id);
cudaMalloc(&d_outputHashes[thr_id], (size_t) 64 * threads);
cudaMalloc(&d_resultNonce[thr_id], sizeof(uint32_t));
cudaMalloc(&d_resultNonces[thr_id], 2 * sizeof(uint32_t));
}
__host__
void myriadgroestl_cpu_free(int thr_id)
{
cudaFree(d_outputHashes[thr_id]);
cudaFree(d_resultNonce[thr_id]);
cudaFree(d_resultNonces[thr_id]);
}
__host__
void myriadgroestl_cpu_setBlock(int thr_id, void *data, void *pTargetIn)
void myriadgroestl_cpu_setBlock(int thr_id, void *data, uint32_t *pTargetIn)
{
// Nachricht expandieren und setzen
uint32_t msgBlock[32] = { 0 };
memcpy(&msgBlock[0], data, 80);
// Erweitere die Nachricht auf den Nachrichtenblock (padding)
// Unsere Nachricht hat 80 Byte
msgBlock[20] = 0x80;
msgBlock[31] = 0x01000000;
// groestl512 braucht hierfür keinen CPU-Code (die einzige Runde wird
// auf der GPU ausgeführt)
// Blockheader setzen (korrekte Nonce und Hefty Hash fehlen da drin noch)
cudaMemcpyToSymbol(myriadgroestl_gpu_msg, msgBlock, 128);
cudaMemset(d_resultNonce[thr_id], 0xFF, sizeof(uint32_t));
cudaMemcpyToSymbol(pTarget, pTargetIn, 32);
cudaMemcpyToSymbol(pTarget, &pTargetIn[6], 2 * sizeof(uint32_t));
}
__host__
@ -364,26 +336,25 @@ void myriadgroestl_cpu_hash(int thr_id, uint32_t threads, uint32_t startNounce, @@ -364,26 +336,25 @@ void myriadgroestl_cpu_hash(int thr_id, uint32_t threads, uint32_t startNounce,
{
uint32_t threadsperblock = 256;
cudaMemset(d_resultNonces[thr_id], 0xFF, 2 * sizeof(uint32_t));
// Compute 3.0 benutzt die registeroptimierte Quad Variante mit Warp Shuffle
// mit den Quad Funktionen brauchen wir jetzt 4 threads pro Hash, daher Faktor 4 bei der Blockzahl
const int factor = 4;
cudaMemset(d_resultNonce[thr_id], 0xFF, sizeof(uint32_t));
// berechne wie viele Thread Blocks wir brauchen
dim3 grid(factor*((threads + threadsperblock-1)/threadsperblock));
dim3 block(threadsperblock);
if (device_sm[device_map[thr_id]] < 300) {
int dev_id = device_map[thr_id];
if (device_sm[dev_id] < 300 || cuda_arch[dev_id] < 300) {
printf("Sorry, This algo is not supported by this GPU arch (SM 3.0 required)");
return;
}
myriadgroestl_gpu_hash_quad <<< grid, block >>> (threads, startNounce, d_outputHashes[thr_id]);
dim3 grid2((threads + threadsperblock-1)/threadsperblock);
myriadgroestl_gpu_hash_quad2 <<< grid2, block >>> (threads, startNounce, d_resultNonce[thr_id], d_outputHashes[thr_id]);
// Strategisches Sleep Kommando zur Senkung der CPU Last
//MyStreamSynchronize(NULL, 0, thr_id);
dim3 grid2((threads + threadsperblock-1)/threadsperblock);
myriadgroestl_gpu_hash_sha <<< grid2, block >>> (threads, startNounce, d_outputHashes[thr_id], d_resultNonces[thr_id]);
cudaMemcpy(resNounce, d_resultNonce[thr_id], sizeof(uint32_t), cudaMemcpyDeviceToHost);
cudaMemcpy(resNounce, d_resultNonces[thr_id], 2 * sizeof(uint32_t), cudaMemcpyDeviceToHost);
}

28
myriadgroestl.cpp
Unescape View File

@ -9,8 +9,8 @@ @@ -9,8 +9,8 @@
void myriadgroestl_cpu_init(int thr_id, uint32_t threads);
void myriadgroestl_cpu_free(int thr_id);
void myriadgroestl_cpu_setBlock(int thr_id, void *data, void *pTargetIn);
void myriadgroestl_cpu_hash(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *nounce);
void myriadgroestl_cpu_setBlock(int thr_id, void *data, uint32_t *target);
void myriadgroestl_cpu_hash(int thr_id, uint32_t threads, uint32_t startNonce, uint32_t *resNonces);
void myriadhash(void *state, const void *input)
{
@ -62,27 +62,37 @@ int scanhash_myriad(int thr_id, struct work *work, uint32_t max_nonce, unsigned @@ -62,27 +62,37 @@ int scanhash_myriad(int thr_id, struct work *work, uint32_t max_nonce, unsigned
for (int k=0; k < 20; k++)
be32enc(&endiandata[k], pdata[k]);
myriadgroestl_cpu_setBlock(thr_id, endiandata, (void*)ptarget);
myriadgroestl_cpu_setBlock(thr_id, endiandata, ptarget);
do {
// GPU
uint32_t foundNounce = UINT32_MAX;
uint32_t foundNonces[2] = { UINT32_MAX, UINT32_MAX };
myriadgroestl_cpu_hash(thr_id, throughput, pdata[19], &foundNounce);
myriadgroestl_cpu_hash(thr_id, throughput, pdata[19], foundNonces);
*hashes_done = pdata[19] - start_nonce + throughput;
if (foundNounce < UINT32_MAX && bench_algo < 0)
if (foundNonces[0] < UINT32_MAX && bench_algo < 0)
{
uint32_t _ALIGN(64) vhash[8];
endiandata[19] = swab32(foundNounce);
endiandata[19] = swab32(foundNonces[0]);
myriadhash(vhash, endiandata);
if (vhash[7] <= ptarget[7] && fulltest(vhash, ptarget)) {
work_set_target_ratio(work, vhash);
pdata[19] = foundNounce;
pdata[19] = foundNonces[0];
// search for another nonce
if (foundNonces[1] != UINT32_MAX) {
endiandata[19] = swab32(foundNonces[1]);
myriadhash(vhash, endiandata);
pdata[21] = foundNonces[1];
if(bn_hash_target_ratio(vhash, ptarget) > work->shareratio) {
work_set_target_ratio(work, vhash);
}
return 2;
}
return 1;
} else if (vhash[7] > ptarget[7]) {
gpulog(LOG_WARNING, thr_id, "result for %08x does not validate on CPU!", foundNounce);
gpulog(LOG_WARNING, thr_id, "result for %08x does not validate on CPU!", foundNonces[0]);
}
}

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