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blake: cleanup, remove d_hash buf, not in a chain

host: only bencode if gpu hash was found
master
Tanguy Pruvot 10 years ago
parent
commit
7e595a36ea
  1. 3
      Makefile.am
  2. 121
      blake32.cu

3
Makefile.am

@ -60,6 +60,9 @@ nvcc_FLAGS += $(JANSSON_INCLUDES) @@ -60,6 +60,9 @@ nvcc_FLAGS += $(JANSSON_INCLUDES)
.cu.o:
$(NVCC) $(nvcc_FLAGS) @CFLAGS@ --maxrregcount=128 -o $@ -c $<
blake32.o: blake32.cu
$(NVCC) $(nvcc_FLAGS) @CFLAGS@ --maxrregcount=64 -o $@ -c $<
# Luffa and Echo are faster with 80 registers than 128
x11/cuda_x11_luffa512.o: x11/cuda_x11_luffa512.cu
$(NVCC) $(nvcc_FLAGS) @CFLAGS@ --maxrregcount=80 -o $@ -c $<

121
blake32.cu

@ -35,11 +35,8 @@ extern int device_map[8]; @@ -35,11 +35,8 @@ extern int device_map[8];
extern cudaError_t MyStreamSynchronize(cudaStream_t stream, int situation, int thr_id);
// shared for 8 threads of addresses (cudaMalloc)
uint32_t* d_hash[8];
__constant__
static uint32_t pTarget[8];
static uint32_t c_Target[8];
__constant__
static uint32_t __align__(32) c_PaddedMessage80[32]; // padded message (80 bytes + padding)
@ -181,7 +178,7 @@ extern __device__ __device_builtin__ void __nvvm_memset(uint8_t *, unsigned char @@ -181,7 +178,7 @@ extern __device__ __device_builtin__ void __nvvm_memset(uint8_t *, unsigned char
#endif
__global__
void blake256_gpu_hash_80(int threads, uint32_t startNounce, uint32_t* outputHash)
void blake256_gpu_hash_80(int threads, uint32_t startNounce, uint32_t *resNounce)
{
uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < (uint32_t) threads)
@ -198,9 +195,12 @@ void blake256_gpu_hash_80(int threads, uint32_t startNounce, uint32_t* outputHas @@ -198,9 +195,12 @@ void blake256_gpu_hash_80(int threads, uint32_t startNounce, uint32_t* outputHas
// ------ Close: Bytes 64 to 80 ------
#if 0 /* __CUDA_ARCH__ >= 200 */
__nvvm_memset((uint8_t*)(&msg[4]), 0, sizeof(msg)-16, 8);
#else
msg[0] = c_PaddedMessage80[16];
msg[1] = c_PaddedMessage80[17];
msg[2] = c_PaddedMessage80[18];
msg[3] = nounce; /* our tested value */
msg[4] = 0x80000000UL; //cuda_swab32(0x80U);
msg[5] = 0; // uchar[17 to 55]
msg[6] = 0;
msg[7] = 0;
@ -210,144 +210,93 @@ void blake256_gpu_hash_80(int threads, uint32_t startNounce, uint32_t* outputHas @@ -210,144 +210,93 @@ void blake256_gpu_hash_80(int threads, uint32_t startNounce, uint32_t* outputHas
msg[11] = 0;
msg[12] = 0;
msg[14] = 0;
#endif
msg[0] = c_PaddedMessage80[16];
msg[1] = c_PaddedMessage80[17];
msg[2] = c_PaddedMessage80[18];
msg[3] = nounce; /* our tested value */
msg[4] = 0x80000000UL; //cuda_swab32(0x80U);
msg[13] = 1;
msg[15] = 0x280; // 60-63
blake256_compress(h, msg, c_sigma, c_u256, 0x280); // or 0x80
uint32_t *outHash = &outputHash[thread<<3];
//#pragma unroll 8
for (int i=0; i < 8; i++) {
outHash[i] = cuda_swab32(h[i]);
}
}
}
__host__
void blake256_cpu_hash_80(int thr_id, int threads, uint32_t startNounce, uint32_t *d_outputHash, int order)
{
const int threadsperblock = TPB;
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
size_t shared_size = 0;
msg[14] = 0;
msg[15] = 0x280;
blake256_gpu_hash_80<<<grid, block, shared_size>>>(threads, startNounce, d_outputHash);
blake256_compress(h, msg, c_sigma, c_u256, 0x280);
MyStreamSynchronize(NULL, order, thr_id);
}
__global__
void gpu_check_hash_64(int threads, uint32_t startNounce, uint32_t *g_hash, uint32_t *resNounce)
{
uint32_t thread = (blockDim.x * blockIdx.x + threadIdx.x);
if (thread < threads)
{
uint32_t* pHash = &g_hash[thread<<3];
for (int i = 7; i >= 0; i--) {
uint32_t hash = pHash[i];
if (hash > pTarget[i]) {
uint32_t hash = cuda_swab32(h[i]);
if (hash > c_Target[i]) {
return;
}
if (hash < pTarget[i]) {
if (hash < c_Target[i]) {
break;
}
}
uint32_t nounce = startNounce + thread;
/* keep the smallest nounce, hmm... */
if(resNounce[0] > nounce)
resNounce[0] = nounce;
}
}
__host__
uint32_t cpu_check_hash_64(int thr_id, int threads, uint32_t startNounce, uint32_t *d_inputHash, int order)
uint32_t blake256_cpu_hash_80(int thr_id, int threads, uint32_t startNounce)
{
const int threadsperblock = TPB;
uint32_t result = 0xffffffff;
cudaMemset(d_resNounce[thr_id], 0xff, sizeof(uint32_t));
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
size_t shared_size = 0;
gpu_check_hash_64 <<<grid, block, shared_size>>>(threads, startNounce, d_inputHash, d_resNounce[thr_id]);
MyStreamSynchronize(NULL, order, thr_id);
uint32_t result = 0xffffffffU;
cudaMemset(d_resNounce[thr_id], 0xff, sizeof(uint32_t));
blake256_gpu_hash_80<<<grid, block, shared_size>>>(threads, startNounce, d_resNounce[thr_id]);
MyStreamSynchronize(NULL, 1, thr_id);
if (cudaSuccess == cudaMemcpy(h_resNounce[thr_id], d_resNounce[thr_id], sizeof(uint32_t), cudaMemcpyDeviceToHost)) {
cudaThreadSynchronize();
result = *h_resNounce[thr_id];
}
return result;
}
__host__
void blake256_cpu_init(int thr_id)
{
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_sigma, host_sigma, sizeof(host_sigma), 0, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMallocHost(&h_resNounce[thr_id], sizeof(uint32_t)));
CUDA_SAFE_CALL(cudaMalloc(&d_resNounce[thr_id], sizeof(uint32_t)));
}
__host__
void blake256_cpu_setBlock_80(uint32_t *pdata, const void *ptarget)
{
uint32_t PaddedMessage[32];
memcpy(PaddedMessage, pdata, 80);
memset(&PaddedMessage[20], 0, 48);
CUDA_SAFE_CALL(cudaMemcpyToSymbol(pTarget, ptarget, 32, 0, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_PaddedMessage80, PaddedMessage, sizeof(PaddedMessage), 0, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_sigma, host_sigma, sizeof(host_sigma), 0, cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpyToSymbol(c_Target, ptarget, 32, 0, cudaMemcpyHostToDevice));
}
extern "C" int scanhash_blake32(int thr_id, uint32_t *pdata, const uint32_t *ptarget,
uint32_t max_nonce, unsigned long *hashes_done)
{
const uint32_t first_nonce = pdata[19];
const int throughput = TPB * 2048;
static bool init[8] = {0,0,0,0,0,0,0,0};
uint32_t endiandata[20];
uint32_t Htarg = ptarget[7];
const int throughput = TPB * 2048; /* 2048 threads is the max on a 750Ti */
static bool init[8] = { 0, 0, 0, 0, 0, 0, 0, 0 };
int rc = 0;
if (opt_benchmark)
((uint32_t*)ptarget)[7] = Htarg = 0x00000f;
((uint32_t*)ptarget)[7] = 0x00000f;
if (!init[thr_id]) {
CUDA_SAFE_CALL(cudaSetDevice(device_map[thr_id]));
CUDA_SAFE_CALL(cudaMalloc(&d_hash[thr_id], 32 * throughput)); /* 32 bytes x 256K Threads (to be removed soon) */
blake256_cpu_init(thr_id);
CUDA_SAFE_CALL(cudaMallocHost(&h_resNounce[thr_id], sizeof(uint32_t)));
CUDA_SAFE_CALL(cudaMalloc(&d_resNounce[thr_id], sizeof(uint32_t)));
init[thr_id] = true;
}
blake256_cpu_setBlock_80(pdata, (void*)ptarget);
for (int k=0; k < 20; k++)
be32enc(&endiandata[k], pdata[k]);
do {
int order = 0;
uint32_t foundNonce;
// GPU HASH
blake256_cpu_hash_80(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
foundNonce = cpu_check_hash_64(thr_id, throughput, pdata[19], d_hash[thr_id], order++);
uint32_t foundNonce = blake256_cpu_hash_80(thr_id, throughput, pdata[19]);
if (foundNonce != 0xffffffff)
{
uint32_t endiandata[20];
uint32_t vhashcpu[8];
uint32_t Htarg = ptarget[7];
for (int k=0; k < 20; k++)
be32enc(&endiandata[k], pdata[k]);
be32enc(&endiandata[19], foundNonce);
blake32hash(vhashcpu, endiandata);

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