This 30 minute webinar introduces Gurobi’s capabilities relating to parallel and distributed optimization, provides insight into when distributed optimization is useful and also provides a performance comparison both between using parallel and distribution optimization and between using fewer machines with more cores and more machines with fewer cores.
The slides for this webinar are available in English and Chinese.
Dr. Gregory Glockner has a B.S. magna cum laude from Yale University in Applied Mathematics and Music, and an M.S. and Ph.D. in Operations Research from the Georgia Institute of Technology. His doctoral dissertation was awarded the 1997 Transportation Science Dissertation Prize from INFORMS.
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