Serverless computing for mathematical optimization
Lingua:
Inglese
Track 2
Orario: 17:15
- 18:00
Abstract
We consider a real case study. In creating power market scenarios, we need to find the energy dispatch of batteries: an optimization problem with hundreds of thousands of variables.
Fortunately, the problem can be split into subproblems which can be solved in parallel.
We show how a serverless approach based on cloud functions can cut the elapsed time by 96% wrt a virtual machine while keeping the operating costs as low as 3€ per run.
After attending this talk, you will be aware of the capabilities of serverless for high-performance computing and have a better feeling about how to design a cloud architecture.
