| Gaussian/09-a02 | AVX2 | No | SMP + Linda | IT4I compiled | Yes | No | Yes |
| Gaussian/09-a02 | AVX2 | No | SMP + Linda | IT4I compiled | Yes | No | No |
| Gaussian/09-d01 | AVX2 | No | SMP + Linda | IT4I compiled | Yes | No | Yes |
| Gaussian/09-d01 | AVX2 | No | SMP + Linda | IT4I compiled | Yes | No | No |
| Gaussian/16_rev_c0-binary | AVX2 | Yes | SMP | Binary distribution | Yes | Yes | No |
| Gaussian/16_rev_c0-binary | AVX2 | Yes | SMP | Binary distribution | Yes | Yes | No |
| Gaussian/16_rev_c0-binary-Linda | AVX2 | Yes | SMP + Linda | Binary distribution | Yes | No | No |
| Gaussian/16_rev_c0-binary-Linda | AVX2 | Yes | SMP + Linda | Binary distribution | Yes | No | No |
| Gaussian/16_rev_c0-CascadeLake | AVX-512 | No | SMP | IT4I compiled | Yes | No | No |
| Gaussian/16_rev_c0-CascadeLake | AVX-512 | No | SMP | IT4I compiled | Yes | No | No |
| Gaussian/16_rev_c0-CascadeLake-Linda | AVX-512 | No | SMP + Linda | IT4I compiled | Yes | No | No |
| Gaussian/16_rev_c0-CascadeLake-Linda | AVX-512 | No | SMP + Linda | IT4I compiled | Yes | No | No |
| Gaussian/16_rev_c0-GPU-Linda | AVX2 | Yes | SMP + Linda | IT4I compiled | Yes | No | No |
| Gaussian/16_rev_c0-GPU-Linda | AVX2 | Yes | SMP + Linda | IT4I compiled | Yes | No | No |
| Gaussian/16_rev_c0-GPU | AVX2 | Yes | SMP | IT4I compiled | No | Yes | No |
| Gaussian/16_rev_c0-GPU | AVX2 | Yes | SMP | IT4I compiled | No | Yes | No |
| Gaussian/16_rev_c0-Linda | AVX2 | No | SMP + Linda | IT4I compiled | No | No | Yes |
| Gaussian/16_rev_c0-Linda | AVX2 | No | SMP + Linda | IT4I compiled | No | No | No |
| Gaussian/16_rev_c0 | AVX2 | No | SMP + Linda | IT4I compiled | No | No | Yes |
| Gaussian/16_rev_c0 | AVX2 | No | SMP + Linda | IT4I compiled | No | No | No |
| Gaussian/16_rev_c2 | AVX2 | Yes | SMP + Linda | IT4I compiled | No | No | Yes |
Speedup may be observed on Barbora and DGX-2 systems when using the `CascadeLake` and `GPU` modules compared to the `binary` module.
Speedup may be observed on Barbora and DGX-2 systems when using the `CascadeLake` and `GPU` modules compared to the `binary` module.
...
@@ -101,7 +102,7 @@ the GAUSS_WDEF environment variable accordingly.
...
@@ -101,7 +102,7 @@ the GAUSS_WDEF environment variable accordingly.
#### Karolina
#### Karolina
Karolina is equipped with NVIDIA A100 GPUs and the Ampere architecture requires new CUDA and compiler versions which are not currently supported by Gaussian16. As a result, GPU-accelerated execution on Karolina is currently **not available**.
Karolina is equipped with NVIDIA A100 GPUs and the Ampere architecture requires new CUDA and compiler versions which are supported by the module `Gaussian/16_rev_c2`.