Forum Discussion
Monte Carlo Simulations using Durable Azure Functions
BobbyJ10 I work with a number of customers in the HPC space and Batch, CycleCloud (to facilitate getting HPC schedulers up and running) or VM Scale Sets as most HPC workloads need much more memory and CPU horsepower to complete jobs. I've honestly not ever seen a customer use a serverless path but if the CPU/memory requirements are lightweight I suppose it would be possible.
Thank you for the advice and standard approaches CloudyRyan, I'll be sure to check how problem size affects performance when I look into it the Azure Function use case.
- AnthonyChu
Microsoft
BobbyJ10 There are a couple ways to approach this. If the simulations can run as an Azure Function, Durable Functions can be a good way to orchestrate them as activity functions. There are some settings that you might need to change to make a CPU-bound workload scale properly.
We've also seen customers use Durable Functions to orchestrate workloads running in Batch or Container Instances. That's a good route to go if you need to coordinate compute to do large batches of work.
Thanks AnthonyChu, it's really great that you can chain these services together in this manner. Will keep all of this is mind when I start taking a look into it.
