Large MILP problem
AnsweredGurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64) CPU model: 12th Gen Intel(R) Core(TM) i5-12450H, instruction set [SSE2|AVX|AVX2]
Thread count: 8 physical cores, 12 logical processors, using up to 12 threads
Optimize a model with 12094 rows, 11707957 columns and 35094853 nonzeros
Model fingerprint: 0x2c2ebb25
Model has 14508 general constraints
Variable types: 11700703 continuous, 7254 integer (7254 binary)
Coefficient statistics:
Matrix range [1e+00, 1e+00]
Objective range [2e-01, 1e+09]
Bounds range [3e-03, 1e+00]
RHS range [2e-04, 3e+05]
GenCon const rng [1e+00, 1e+00]
Presolve removed 0 rows and 0 columns (presolve time = 6s) ...
Presolve added 17569188 rows and 35109360 columns
Presolve time: 30.17s
Explored 0 nodes (0 simplex iterations) in 33.21 seconds (7.01 work units)
Thread count was 1 (of 12 available processors)
Solution count 0
Best objective -, best bound -, gap -
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GurobiError Traceback (most recent call last) Input In [47],
in <cell line: 1>() ----> 1 m.optimize() File src\gurobipy\model.pxi:878,
in gurobipy.Model.optimize() GurobiError: Out of memory
Is it even possible to solve this. If yes how do I proveed
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Please have a look at our Knowledge base article on tips to avoid an out-of-memory problem with Gurobi: How do I avoid an out-of-memory condition?
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Thank you for your response,
I just need to ask can the following system specs be able to handle this problem
GPU Card: NVIDIA 10800 Pytorch
SSD Memory: 1500 GB
GPU Memory: 80 GB
Ram : 115 GB
OS: Ubuntu 20.04
vCPU : 160 -
Hi Ritesh,
From the log snippet you posted above, it is impossible to predict how difficult it is to solve the model, but many of our users are solving models of similar sizes.
115 GB of memory sounds like a good amount to give this model a try.
(As I've mentioned in your other post, Gurobi does not use the GPU; see here for details.)- Silke
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