GPU Device 0: "Hopper" with compute capability 9.0

Using default input file [../../../../Samples/4_CUDA_Libraries/cuSolverSp_LowlevelCholesky/lap2D_5pt_n100.mtx]
step 1: read matrix market format
sparse matrix A is 10000 x 10000 with 49600 nonzeros, base=1
step 2: create opaque info structure
step 3: analyze chol(A) to know structure of L
step 4: workspace for chol(A)
step 5: compute A = L*L^T 
step 6: check if the matrix is singular 
step 7: solve A*x = b 
step 8: evaluate residual r = b - A*x (result on CPU)
(CPU) |b - A*x| = 3.637979E-12 
(CPU) |A| = 8.000000E+00 
(CPU) |x| = 7.513384E+02 
(CPU) |b - A*x|/(|A|*|x|) = 6.052497E-16 
step 9: create opaque info structure
step 10: analyze chol(A) to know structure of L
step 11: workspace for chol(A)
step 12: compute A = L*L^T 
step 13: check if the matrix is singular 
step 14: solve A*x = b 
(GPU) |b - A*x| = 1.477929E-12 
(GPU) |b - A*x|/(|A|*|x|) = 2.458827E-16