How to Exploit Parallelism in Linear Programming and Mixed-Integer Programming

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.

The presenter of this webinar will be Ed Rothberg, CEO and Co-Founder of Gurobi Optimization.

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Our Mission
Gurobi strives to help companies make better decisions through the use of prescriptive analytics. We provide the best math programming solver, tools for distributed optimization, optimization in the cloud, and outstanding support. We are committed to improving our solver performance and developing tools to help you use Gurobi with more ease.

Founded in 2008 by arguably the most experienced and respected team in optimization circles, we have successfully expanded to serving over 2,400 companies from a wide range of industries, by way of providing the right mix of advanced developments and technologies, world-class support and flexible licensing.

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