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Introduction
Discover how Iterative tools simplify the process of physical and computational simulations. This article provides a comprehensive guide to managing simulation pipelines, data, and resources using DVC (Data Version Control), CML (Continuous Machine Learning), and Iterative Studio.
Managing Simulation Pipelines and Data with DVC and CML
In the previous post, we discussed how DVC simplifies physical simulation pipelines and data management. This post explores how to run simulations in the cloud, run new experiments, and visualize simulation results with Iterative Studio and other tools.
Running Simulations in the Cloud with CML and AWS
To run the demo simulation in AWS, we can apply CML. CML can start a new AWS EC2 instance to run a new simulation experiment and shut it down when it’s done.
Using AWS Computational Resources
When a workflow requires computational resources (such as GPUs), CML can automatically allocate cloud instances using cml runner. You can spin up instances on AWS, Azure, GCP, or Kubernetes (see below).
Visualizing Simulation Results with Iterative Studio
Iterative Studio is a web application that you can access online or even host on-prem. Using the power of leading open-source tools DVC, CML, and Git, enables you to seamlessly manage data, run and track experiments, and visualize and share results.
Run a New Simulation
Using Iterative Studio, we can run new simulation experiments in the Cloud and visualize results in Studio UI.
Visualize Simulation Results
Iterative Studio helps to visualize simulation result images and DVC plots just after the simulation is complete. Studio allows one to plot images and metrics, and compare them with previous simulations.
Conclusion
Overall, DVC, CML, and Iterative Studio can help OpenFOAM users reduce the complexity of simulation pipelines, automate tasks, and manage simulation experiments and resources. By following this guide, you can simplify the process of physical and computational simulations and accelerate your research.
Frequently Asked Questions
What is DVC?
DVC (Data Version Control) is a tool that helps you manage data and simulation pipelines. It automates tasks such as running simulations, post-processing results, and generating reports.
What is CML?
CML (Continuous Machine Learning) is a tool that helps you run simulations in the cloud and manage computational resources. It automates tasks such as launching and shutting down EC2 instances on AWS.
What is Iterative Studio?
Iterative Studio is a web application that helps you visualize simulation results, run new simulations, and manage data. It integrates with DVC, CML, and Git to simplify the process of physical and computational simulations.
Can I use DVC, CML, and Iterative Studio with OpenFOAM?
Yes, DVC, CML, and Iterative Studio can be used with OpenFOAM. The demo project built with OpenFOAM shows how to set up DVC for simulation experiments and data management, run simulations in the cloud with CML, and visualize simulation results with Iterative Studio.
Can I store simulation data on-premises or in the cloud?
Yes, you can store simulation data on-premises or in the cloud using a variety of storage types, such as S3.
