Webinar Summary

In this webinar, you will discover how to exploit parallelism in linear programming and mixed-integer programming.

As core counts grow in modern computers, it is becoming more and more important to exploit parallelism wherever you can find it. This presentation will take a broad look at parallelism in mathematical optimization. We’ll look at parallelism in continuous optimization, discussing why opportunities can often be quite limited. We’ll also look at parallelism in MIP, where opportunities are larger but significant challenges still arise. Finally, we’ll talk about alternative parallel architectures, including distributed computing and GPUs, and whether they are likely to provide performance improvement across a broad set of practical problems in the future.

In this webinar, you will learn:

  • How to exploit parallelism in mathematical optimization.
  • How distributed computing and GPUs can provide performance improvement across a broad set of practical problems.

Presented Materials

You can download the slides presented in this webinar here.

Meet the Experts

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

Search