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Docs: add dav_subspace to the PW GPU solver list #7889

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mohanchen merged 1 commit into from
Sep 1, 2026
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Docs: add dav_subspace to the PW GPU solver list #7889

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4 changes: 2 additions & 2 deletions docs/advanced/acceleration/cuda.md
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Expand Up @@ -44,7 +44,7 @@ The ABACUS program will automatically determine whether the current ELPA support
## Run with the GPU support by editing the INPUT script:

In `INPUT` file we need to set the input parameter [device](../input_files/input-main.md#device) to `gpu`. If this parameter is not set, ABACUS will try to determine if there are available GPUs.
- Set `ks_solver`: For the PW basis, CG, BPCG and Davidson methods are supported on GPU; set the input parameter [ks_solver](../input_files/input-main.md#ks_solver) to `cg`, `bpcg` or `dav`. For the LCAO basis, `cusolver`, `cusolvermp` and `elpa` is supported on GPU.
- Set `ks_solver`: For the PW basis, CG, BPCG, Davidson, and Davidson subspace methods are supported on GPU; set the input parameter [ks_solver](../input_files/input-main.md#ks_solver) to `cg`, `bpcg`, `dav`, or `dav_subspace`. For the LCAO basis, `cusolver`, `cusolvermp`, and `elpa` are supported on GPU.
- **single-card**: ABACUS allows for single-GPU acceleration. You can run ABACUS without any MPI process by command `abacus`, and `ks_solver cusolver` is recommended for the LCAO basis. *note: avoid using `mpirun -n 1 abacus`*.
- **multi-cards**: ABACUS allows for multi-GPU acceleration. If you have multiple GPU cards, you can run ABACUS with several MPI processes, and each process will utilize one GPU card. For example, the command `mpirun -n 2 abacus` will by default launch two GPUs for computation. If you only have one card, this command will only start one GPU. *note: the number of MPI processes SHOULD be equal to the number of GPU cards, unless you are using MPS in your computer.*

Expand All @@ -58,4 +58,4 @@ PW basis:

LCAO basis:
- Unless there is a specific reason, avoid using multiple GPUs, as it can be slower than using a single GPU. This is because the generalized eigenvalue solution of the LCAO basis set will incur additional communication overhead when calculated on multiple cards. When the memory limit of a GPU card makes it insufficient to complete the task, it is recommended to use multiple cards for calculation.
- When using elpa on GPUs, some ELPA internal logs will be output.
- When using elpa on GPUs, some ELPA internal logs will be output.
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