Hello, I am getting the error
CUDA error: insufficient resources when calling `cusparseSpGEMM_compute( handle, opA, opB, &alpha, matA, matB, &beta, matC, computeType, CUSPARSE_SPGEMM_DEFAULT, spgemmDesc, &bufferSize2, dBuffer2)
when using different sizes of sparse matrix multiplication on the GPU (not the actual number of values but for the dimension that are taken when creating a new matrix.)
- How do I debug this error in general?
- What are the maximal dimensions that is allowed for this operation on CUDA?
- Why do I get this error only when using a GPU, not the CPU?