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.