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x11/qubit: remove some extra MyStreamSynchronize

only one per loop is required to prevent 100% cpu usage
master
Tanguy Pruvot 10 years ago
parent
commit
e7ae27137e
  1. 29
      quark/cuda_quark_blake512.cu
  2. 1
      qubit/qubit_luffa512.cu
  3. 2
      x11/cuda_x11_cubehash512.cu
  4. 3
      x11/cuda_x11_shavite512.cu
  5. 2
      x11/cuda_x11_simd512.cu

29
quark/cuda_quark_blake512.cu

@ -235,8 +235,8 @@ __global__ void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounc @@ -235,8 +235,8 @@ __global__ void quark_blake512_gpu_hash_80(uint32_t threads, uint32_t startNounc
// ---------------------------- END CUDA quark_blake512 functions ------------------------------------
// Setup-Funktionen
__host__ void quark_blake512_cpu_init(int thr_id, uint32_t threads)
__host__
void quark_blake512_cpu_init(int thr_id, uint32_t threads)
{
// Kopiere die Hash-Tabellen in den GPU-Speicher
CUDA_CALL_OR_RET( cudaMemcpyToSymbol(c_sigma,
@ -246,7 +246,8 @@ __host__ void quark_blake512_cpu_init(int thr_id, uint32_t threads) @@ -246,7 +246,8 @@ __host__ void quark_blake512_cpu_init(int thr_id, uint32_t threads)
}
// Blake512 für 80 Byte grosse Eingangsdaten
__host__ void quark_blake512_cpu_setBlock_80(void *pdata)
__host__
void quark_blake512_cpu_setBlock_80(void *pdata)
{
// Message mit Padding bereitstellen
// lediglich die korrekte Nonce ist noch ab Byte 76 einzusetzen.
@ -263,7 +264,8 @@ __host__ void quark_blake512_cpu_setBlock_80(void *pdata) @@ -263,7 +264,8 @@ __host__ void quark_blake512_cpu_setBlock_80(void *pdata)
);
}
__host__ void quark_blake512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_outputHash, int order)
__host__
void quark_blake512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_nonceVector, uint32_t *d_outputHash, int order)
{
const uint32_t threadsperblock = 256;
@ -271,28 +273,19 @@ __host__ void quark_blake512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t @@ -271,28 +273,19 @@ __host__ void quark_blake512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
quark_blake512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, d_nonceVector, (uint64_t*)d_outputHash);
quark_blake512_gpu_hash_64<<<grid, block>>>(threads, startNounce, d_nonceVector, (uint64_t*)d_outputHash);
// Strategisches Sleep Kommando zur Senkung der CPU Last
MyStreamSynchronize(NULL, order, thr_id);
//MyStreamSynchronize(NULL, order, thr_id);
}
__host__ void quark_blake512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_outputHash, int order)
__host__
void quark_blake512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNounce, uint32_t *d_outputHash, int order)
{
const uint32_t threadsperblock = 256;
// berechne wie viele Thread Blocks wir brauchen
dim3 grid((threads + threadsperblock-1)/threadsperblock);
dim3 block(threadsperblock);
// Größe des dynamischen Shared Memory Bereichs
size_t shared_size = 0;
quark_blake512_gpu_hash_80<<<grid, block, shared_size>>>(threads, startNounce, d_outputHash);
// Strategisches Sleep Kommando zur Senkung der CPU Last
MyStreamSynchronize(NULL, order, thr_id);
quark_blake512_gpu_hash_80<<<grid, block>>>(threads, startNounce, d_outputHash);
}

1
qubit/qubit_luffa512.cu

@ -487,7 +487,6 @@ void qubit_luffa512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNoun @@ -487,7 +487,6 @@ void qubit_luffa512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNoun
size_t shared_size = 0;
qubit_luffa512_gpu_hash_80 <<<grid, block, shared_size>>> (threads, startNounce, d_outputHash);
MyStreamSynchronize(NULL, order, thr_id);
}
__host__

2
x11/cuda_x11_cubehash512.cu

@ -306,6 +306,6 @@ void x11_cubehash512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNou @@ -306,6 +306,6 @@ void x11_cubehash512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNou
size_t shared_size = 0;
x11_cubehash512_gpu_hash_64<<<grid, block, shared_size>>>(threads, startNounce, (uint64_t*)d_hash, d_nonceVector);
MyStreamSynchronize(NULL, order, thr_id);
//MyStreamSynchronize(NULL, order, thr_id);
}

3
x11/cuda_x11_shavite512.cu

@ -1442,7 +1442,7 @@ void x11_shavite512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNoun @@ -1442,7 +1442,7 @@ void x11_shavite512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNoun
dim3 block(threadsperblock);
x11_shavite512_gpu_hash_64<<<grid, block>>>(threads, startNounce, (uint64_t*)d_hash, d_nonceVector);
MyStreamSynchronize(NULL, order, thr_id);
//MyStreamSynchronize(NULL, order, thr_id);
}
__host__
@ -1454,7 +1454,6 @@ void x11_shavite512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNoun @@ -1454,7 +1454,6 @@ void x11_shavite512_cpu_hash_80(int thr_id, uint32_t threads, uint32_t startNoun
dim3 block(threadsperblock);
x11_shavite512_gpu_hash_80<<<grid, block>>>(threads, startNounce, d_outputHash);
MyStreamSynchronize(NULL, order, thr_id);
}
__host__

2
x11/cuda_x11_simd512.cu

@ -697,5 +697,5 @@ void x11_simd512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce, @@ -697,5 +697,5 @@ void x11_simd512_cpu_hash_64(int thr_id, uint32_t threads, uint32_t startNounce,
x11_simd512_gpu_final_64 <<<grid, block>>> (threads, d_hash, d_temp4[thr_id], d_state[thr_id]);
MyStreamSynchronize(NULL, order, thr_id);
//MyStreamSynchronize(NULL, order, thr_id);
}

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