Python 🐍 Multi-Threading
Programs can run on multi-core processors, heterogeneous networks, and platforms. In this example application, we solve a series of optimization problems in parallel with a multi-threaded application. The optimization problems are initialized sequentially, computed in parallel, and returned asynchronously to Python. In Python, parallelization may be accomplished with multi-threading. The example shows how to create and run a program with 10 threads that each print a message and then solve an optimization problem many times to create a 3D contour plot.
Multi-Threading in Python: https://apmonitor.com/me575/index.php...
HS71 Optimization Problem: https://apmonitor.com/che263/index.ph...
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