TUFLOW Message 3017: Difference between revisions
Jump to navigation
Jump to search
Content deleted Content added
No edit summary |
No edit summary |
||
| (2 intermediate revisions by one other user not shown) | |||
| Line 4: | Line 4: | ||
|type=[[ERROR]] |
|type=[[ERROR]] |
||
|message_desc= |
|message_desc=There is insufficient available GPU memory across the specified GPU devices to run the simulation. |
||
|suggestions=If trying to run the HPC Solver in double precision, memory requirements may be significantly reduced by changing to single precision. |
|||
|suggestions= |
|||
* Check that no other models are currently running on the selected GPU. |
|||
Consider if your model configuration can be refined to reduce memory requirements. The key factors that influence memory allocation are: |
|||
* Reduce cell size. |
|||
* The size of the redundant area around the perimeter of the model; |
|||
* Change to single precision if using double precision. |
|||
* The number of 2D cells, hence the domain extent and the cell size; and |
|||
* Run the model on the CPU. |
|||
* The model features utilised. |
|||
* Contact [mailto:support@tuflow.com support@tuflow.com]. |
|||
For further information on how to reduce RAM requirements, please see <u>[[TUFLOW_Simulation_Speed | TUFLOW speed, storage and RAM requirements]]</u> Wiki page. |
|||
If additional GPU devices are available, consider running the simulation across extra GPU devices. |
|||
|uplink=[[3xxx_TUFLOW_Messages|3xxx Messages]] |
|uplink=[[3xxx_TUFLOW_Messages|3xxx Messages]] |
||
Latest revision as of 14:05, 19 February 2024
TUFLOW Message
ERROR 3017 - Required memory exceeds available GPU memory.
Alternate Message
NA
Message Type
ERROR
Description
There is insufficient available GPU memory across the specified GPU devices to run the simulation.
Suggestions
If trying to run the HPC Solver in double precision, memory requirements may be significantly reduced by changing to single precision.
Consider if your model configuration can be refined to reduce memory requirements. The key factors that influence memory allocation are:
- The size of the redundant area around the perimeter of the model;
- The number of 2D cells, hence the domain extent and the cell size; and
- The model features utilised.
For further information on how to reduce RAM requirements, please see TUFLOW speed, storage and RAM requirements Wiki page.
If additional GPU devices are available, consider running the simulation across extra GPU devices.
| Up |
|---|
 3xxx Messages
|