http://stackoverflow.com/questions/6551121/cuda-cudaeventelapsedtime-returns-device-not-ready-error 我自己的环境是用的Tesla C2070 GPU,也不知道为什么会出现这个问题,但是根据网上这个方法是可以解决问题的。 方案如下: 1cudaError_t err;2cudaEvent_t start, stop;3cudaEventCreate(&start);4cudaEventCreate...
void CUDART_CB MyCallback(cudaStream_t stream, cudaError_t status, void *data){ printf("Inside callback %d\n", (size_t)data); } ... for (size_t i = 0; i < 2; ++i) { cudaMemcpyAsync(devPtrIn[i], hostPtr[i], size, cudaMemcpyHostToDevice, stream[i]); MyKernel<<<100, ...
Attach on exception Using the environment variable CUDA_DEVICE_WAITS_ON_EXCEPTION, the ap- plication will run normally until a device exception occurs. Then the application will wait for the debugger to attach itself to it for further debugging. API Error Reporting Checking the error code of all...
cudaErrorDeviceNotLicensed = 102 This indicates that the device doesn't have a valid Grid License. cudaErrorSoftwareValidityNotEstablished = 103 By default, the CUDA runtime may perform a minimal set of self-tests, as well as CUDA driver tests, to establish the validity of both. Introduced...
void CUDART_CB MyCallback(cudaStream_t stream, cudaError_t status, void *data){ printf("Inside callback %d\n", (size_t)data); } ... for (size_t i = 0; i < 2; ++i) { cudaMemcpyAsync(devPtrIn[i], hostPtr[i], size, cudaMemcpyHostToDevice, stream[i]); ...
CUDA_ERROR_MPS_SERVER_NOT_READY CUDA_ERROR_MPS_RPC_FAILURE CUDA_ERROR_MPS_MAX_CLIENTS_REACHED CUDA_ERROR_MPS_MAX_CONNECTIONS_REACHED 形式化异步数据移动 为了支持 CUDA 11 . 4 中 NVIDIA A100C ++ 20 障碍微体系结构启用的异步内存传输操作,我们对异步 SIMT 编程模型进行了形式化定义。异步编程模型定义了...
RuntimeError: CUDA error: invalid device ordinal CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 ...
优化代码：__device__voidwarpReduce(volatilefloat*cache,unsignedinttid){cache[tid]+=cache[tid+32]...
头疼。好不容易环境貌似差不多了,复制了一段测试代码,简单的将数据复制到device,运算,然后发回host,能出结果,但是执行nvprof,显示Warning: CUDA device error, GPU profiling skipped,依然有结果,但是貌似没有调gpu。然后执行nvidia-smi,得到如下错误NVIDIA-SMI has failed because it couldn't communicate with the...
__device__执行空间说明符声明了一个函数: 在设备上执行, 只能从设备调用。 __global__和__device__执行空间说明符不能一起使用。 B.1.3 __host__ __host__执行空间说明符声明了一个函数: 在主机上执行, 只能从主机调用。 相当于声明一个函数只带有__host__执行空间说明符,或者声明它没有任何__host_...