In the past, I usually used Yalmip to complete the modeling of mathematical optimization. When I construct a large-scale mixed integer linear programming, I don’t need any additional settings, and Gurobi can always make full use of the performance of CPU.
However, now I use JuMP.jl for modeling. Although I enjoy the acceleration brought by Julia/JuMP in model construction, I find that Gurobi cannot make full use of CPU performance when solving. I check through the task manager of windows. The highest CPU utilization is only 45%, and the solution is still in progress. MIPGap is still far from my expected setting.
How do I need to set up to make full use of my CPU performance?
Incidentally, I use vscode to write code. When executing the code, it is copied into Julia REPL.
Thank you very much!