rozyang
rozyang

Reputation: 619

How to debug: CUDA kernel fails when there are many threads?

I am using a Quadro K2000M card, CUDA capability 3.0, CUDA Driver 5.5, runtime 5.0, programming with Visual Studio 2010. My GPU algorithm runs many parallel breadth first searches (BFS) of a tree (constant). The threads are independed except reading from a constant array and the tree. In each thread there can be some malloc/free operations, following the BFS algorithm with queues (no recursion). There N threads; the number of tree leaf nodes is also N. I used 256 threads per block and (N+256-1)/256 blocks per grid.

Now the problem is the program works for less N=100000 threads but fails for more than that. It also works in CPU or in GPU thread by thread. When N is large (e.g. >100000), the kernel crashes and then cudaMemcpy from device to host also fails. I tried Nsight, but it is too slow.

Now I set cudaDeviceSetLimit(cudaLimitMallocHeapSize, 268435456); I also tried larger values, up to 1G; cudaDeviceSetLimit succeeded but the problem remains.

Does anyone know some common reason for the above problem? Or any hints for further debugging? I tried to put some printf's, but there are tons of output. Moreover, once a thread crashes, all remaining printf's are discarded. Thus it is hard to identify the problem.

Upvotes: 0

Views: 687

Answers (1)

Robert Crovella
Robert Crovella

Reputation: 151809

"CUDA Driver 5.5, runtime 5.0" -- that seems odd.

You might be running into a windows TDR event. Based on your description, I would check that first. If, as you increase the threads, the kernel begins to take more than about 2 seconds to execute, you may hit the windows timeout.

You should also add proper cuda error checking to your code, for all kernel calls and CUDA API calls. A windows TDR event will be more easily evident based on the error codes you receive. Or the error codes may steer you in another direction.

Finally, I would run your code with cuda-memcheck in both the passing and failing cases, looking for out-of-bounds accesses in the kernel or other issues.

Upvotes: 1

Related Questions