[QST] High GPU memory usage when solving CVRP
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- Cuda
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Description
Hi! Could you please briefly explain why the routing algorithm consumes so much GPU memory during solving? I observe ~16GB usage for a CVRP instance with 13,000 orders on an NVIDIA T4.
Thanks in advance!
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First steps
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Research direction
Start by reproducing the CVRP solve with 13,000 orders on an NVIDIA T4 and measure GPU memory use during solving. Review the solver's memory behavior and determine whether the roughly 16 GB usage is expected; done means providing a clear explanation grounded in the observed measurements.
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Assessment
- Domain
- performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100