recentyl I have read the following paper about direct solver fro sparse linear systems on GPUs -- https://arxiv.org/pdf/2306.14337 . With a help of Marcel Koch I created the following code
This seems to work well on CUDA GPUs. I have two questions now:
The paper says that the solver runs in three phases - symbolic factorization (on CPU), numerical factorization and triangular solvers. If the matrix pattern does not change, I would like to call the symbolic factorization just once and then I would like to be able to call
explicitly numerical factorization and triangular solve. Is it possible? I could not find such methods in the source code.
Could I run the second and the third phases concurrently on the GPU using various CUDA streams?
Hi everyone,
recentyl I have read the following paper about direct solver fro sparse linear systems on GPUs -- https://arxiv.org/pdf/2306.14337 . With a help of Marcel Koch I created the following code
This seems to work well on CUDA GPUs. I have two questions now:
Thanks a lot, Tomas.