Difference between revisions of "TUFLOW Message 3017"

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|type=[[ERROR]]  
 
|type=[[ERROR]]  
|message_desc=Based on an initial memory check, the requested GPU has insufficient available memory to run the model.
+
|message_desc=There is insufficient available GPU memory across the specified GPU devices to run the simulation.
|suggestions=
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|suggestions=If trying to run the HPC Solver in double precision, memory requirements may be significantly reduced by changing to single precision.
* Check that no other models are currently running on the selected GPU.
+
 
* Reduce cell size.
+
Consider if your model configuration can be refined to reduce memory requirements. The key factors that influence memory allocation are:
* Change to single precision if using double precision.
+
* The size of the redundant area around the perimeter of the model;
* Run the model on the CPU.
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* The number of 2D cells, hence the domain extent and the cell size; and
* Contact [mailto:support@tuflow.com support@tuflow.com].
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* The model features utilised.
 +
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.
 +
 
  
|prelink=[[TUFLOW_Message_3016|Message 3016]]
 
 
|uplink=[[3xxx_TUFLOW_Messages|3xxx Messages]]
 
|uplink=[[3xxx_TUFLOW_Messages|3xxx Messages]]
|nextlink=[[TUFLOW_Message_3018|Message 3018]]
 
 
}}
 
}}

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.


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Go-up.png 3xxx Messages