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mirror of https://github.com/hashcat/hashcat.git synced 2024-11-14 03:39:09 +00:00

Use CUDA stream for all cuLaunchKernel() invocations

This commit is contained in:
Jens Steube 2019-05-06 11:23:34 +02:00
parent d94f582097
commit 64c495dfa5

View File

@ -2884,13 +2884,13 @@ int run_cuda_kernel_atinit (hashcat_ctx_t *hashcat_ctx, hc_device_param_t *devic
CUfunction function = device_param->cuda_function_atinit;
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, function, num_elements, 1, 1, kernel_threads, 1, 1, 0, NULL, device_param->kernel_params_atinit, NULL);
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, function, num_elements, 1, 1, kernel_threads, 1, 1, 0, device_param->cuda_stream, device_param->kernel_params_atinit, NULL);
if (rc_cuLaunchKernel == -1) return -1;
const int rc_cuCtxSynchronize = hc_cuCtxSynchronize (hashcat_ctx);
const int rc_cuStreamSynchronize = hc_cuStreamSynchronize (hashcat_ctx, device_param->cuda_stream);
if (rc_cuCtxSynchronize == -1) return -1;
if (rc_cuStreamSynchronize == -1) return -1;
return 0;
}
@ -2921,13 +2921,13 @@ int run_cuda_kernel_memset (hashcat_ctx_t *hashcat_ctx, hc_device_param_t *devic
//const size_t global_work_size[3] = { num_elements, 1, 1 };
//const size_t local_work_size[3] = { kernel_threads, 1, 1 };
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, function, num_elements, 1, 1, kernel_threads, 1, 1, 0, NULL, device_param->kernel_params_memset, NULL);
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, function, num_elements, 1, 1, kernel_threads, 1, 1, 0, device_param->cuda_stream, device_param->kernel_params_memset, NULL);
if (rc_cuLaunchKernel == -1) return -1;
const int rc_cuCtxSynchronize = hc_cuCtxSynchronize (hashcat_ctx);
const int rc_cuStreamSynchronize = hc_cuStreamSynchronize (hashcat_ctx, device_param->cuda_stream);
if (rc_cuCtxSynchronize == -1) return -1;
if (rc_cuStreamSynchronize == -1) return -1;
}
if (num16m)
@ -3446,13 +3446,13 @@ int run_kernel_mp (hashcat_ctx_t *hashcat_ctx, hc_device_param_t *device_param,
num_elements = round_up_multiple_64 (num_elements, kernel_threads);
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, NULL, cuda_args, NULL);
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, device_param->cuda_stream, cuda_args, NULL);
if (rc_cuLaunchKernel == -1) return -1;
const int rc_cuCtxSynchronize = hc_cuCtxSynchronize (hashcat_ctx);
const int rc_cuStreamSynchronize = hc_cuStreamSynchronize (hashcat_ctx, device_param->cuda_stream);
if (rc_cuCtxSynchronize == -1) return -1;
if (rc_cuStreamSynchronize == -1) return -1;
}
if (device_param->is_opencl == true)
@ -3525,13 +3525,13 @@ int run_kernel_tm (hashcat_ctx_t *hashcat_ctx, hc_device_param_t *device_param)
{
CUfunction cuda_function = device_param->cuda_function_tm;
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, NULL, device_param->kernel_params_tm, NULL);
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, device_param->cuda_stream, device_param->kernel_params_tm, NULL);
if (rc_cuLaunchKernel == -1) return -1;
const int rc_cuCtxSynchronize = hc_cuCtxSynchronize (hashcat_ctx);
const int rc_cuStreamSynchronize = hc_cuStreamSynchronize (hashcat_ctx, device_param->cuda_stream);
if (rc_cuCtxSynchronize == -1) return -1;
if (rc_cuStreamSynchronize == -1) return -1;
}
if (device_param->is_opencl == true)
@ -3573,13 +3573,13 @@ int run_kernel_amp (hashcat_ctx_t *hashcat_ctx, hc_device_param_t *device_param,
CUfunction cuda_function = device_param->cuda_function_amp;
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, NULL, device_param->kernel_params_amp, NULL);
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, device_param->cuda_stream, device_param->kernel_params_amp, NULL);
if (rc_cuLaunchKernel == -1) return -1;
const int rc_cuCtxSynchronize = hc_cuCtxSynchronize (hashcat_ctx);
const int rc_cuStreamSynchronize = hc_cuStreamSynchronize (hashcat_ctx, device_param->cuda_stream);
if (rc_cuCtxSynchronize == -1) return -1;
if (rc_cuStreamSynchronize == -1) return -1;
}
if (device_param->is_opencl == true)
@ -3627,13 +3627,13 @@ int run_kernel_decompress (hashcat_ctx_t *hashcat_ctx, hc_device_param_t *device
CUfunction cuda_function = device_param->cuda_function_decompress;
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, NULL, device_param->kernel_params_decompress, NULL);
const int rc_cuLaunchKernel = hc_cuLaunchKernel (hashcat_ctx, cuda_function, num_elements, 1, 1, kernel_threads, 1, 1, 0, device_param->cuda_stream, device_param->kernel_params_decompress, NULL);
if (rc_cuLaunchKernel == -1) return -1;
const int rc_cuCtxSynchronize = hc_cuCtxSynchronize (hashcat_ctx);
const int rc_cuStreamSynchronize = hc_cuStreamSynchronize (hashcat_ctx, device_param->cuda_stream);
if (rc_cuCtxSynchronize == -1) return -1;
if (rc_cuStreamSynchronize == -1) return -1;
}
if (device_param->is_opencl == true)
@ -5387,7 +5387,7 @@ int backend_ctx_devices_init (hashcat_ctx_t *hashcat_ctx, const int comptime)
CUcontext cuda_context;
const int rc_cuCtxCreate = hc_cuCtxCreate (hashcat_ctx, &cuda_context, CU_CTX_SCHED_YIELD, device_param->cuda_device);
const int rc_cuCtxCreate = hc_cuCtxCreate (hashcat_ctx, &cuda_context, CU_CTX_SCHED_BLOCKING_SYNC, device_param->cuda_device);
if (rc_cuCtxCreate == -1) return -1;
@ -7062,7 +7062,7 @@ int backend_session_begin (hashcat_ctx_t *hashcat_ctx)
if (device_param->is_cuda == true)
{
CU_rc = hc_cuCtxCreate (hashcat_ctx, &device_param->cuda_context, CU_CTX_SCHED_YIELD, device_param->cuda_device);
CU_rc = hc_cuCtxCreate (hashcat_ctx, &device_param->cuda_context, CU_CTX_SCHED_BLOCKING_SYNC, device_param->cuda_device);
if (CU_rc == -1) return -1;
}