cuda — out of memory (threads and blocks issue) --Address is out of bounds

Question

I am using 63 registers/thread ,so (32768 is maximum) i can use about 520 threads.I am using now 512 threads in this example.

(The parallelism is in the function \"comp

Answer 1

Using R=1000 and then

block=R/2,1,1 and grid=1,1 everything ok

If i try R=10000 and

block=R/20,1,1 and grid=20,1 ,then it show me "out of memory"

I'm not familiar with pycuda and didn't read into your code too deeply. However you have more blocks and more threads, so it will

• local memory (probably the kernel's stack, it's allocated per thread),

• shared memory (allocated per block), or

• global memory that gets allocated based on grid or gridDim.

You can reduce the stack size calling

cudeDeviceSetLimit(cudaLimitStackSize, N));

(the code is for the C runtime API, but the pycuda equivalent shouldn't be too hard to find).