Running large molecular simulations can often push the limits of local hardware. If you’re working with large systems or computationally heavy tasks, cloud computing offers a flexible and scalable solution to overcome these hardware restrictions. SAMSON, an integrative molecular design platform, provides a seamless way to perform demanding simulation stages, such as equilibration and production molecular dynamics, in the cloud using the GROMACS Wizard. Here’s how it works and how it can help you enhance your workflow.
Why Use Cloud Computing for Simulations?
As molecular systems grow in size or as simulations require more steps, running them locally can take a toll on your machine. Large memory usage, long computation times, and potential hardware incompatibilities are common hurdles. With cloud computing, however, you can delegate these resource-intensive calculations to powerful external machines, freeing your system and saving valuable time.
Getting Started with Cloud Jobs in SAMSON
In SAMSON, the GROMACS Wizard lets you launch cloud jobs for three key stages:
Before starting, ensure that your input structure and simulation parameters are set up. You’ll also need at least one computing credit on your SAMSON Connect account to begin a cloud job.
Choosing the Right Machine
When launching a cloud job, SAMSON provides a machine-selection interface where you can choose the hardware specifications based on your project’s needs. Factors like the number of virtual CPUs (vCPUs), storage size, and pricing are clearly outlined, helping you find the balance between performance and cost.
If it’s your first time running cloud jobs or you only need quick testing, it’s recommended to pick the cost-efficient option of 4 vCPUs and no GPU. This minimizes credit usage while allowing you to validate the workflow.
Monitoring and Managing Your Job
Once your job is submitted, the Job manager in SAMSON becomes your control hub. Here, you can:
- Track the job’s progress in real-time.
- View job details like remaining credits, expected duration, and costs.
- Pause, restart, or cancel jobs whenever necessary.
The platform is highly flexible. You can even close SAMSON while the job runs in the cloud and revisit the job later through the Job manager, ensuring you’re not tied to your desk.
Accessing and Downloading Results
After completion, you’ll receive notification emails and job updates in SAMSON. With the Job files window, you can download results directly to your local machine.
Downloading is straightforward. You can:
- Download selected files, a subset, or all the results.
- Use context menu options to conveniently manage file paths, import results into SAMSON, or open specific files in external viewers.
Results downloaded to your machine can seamlessly be imported back into the GROMACS Wizard for subsequent steps like visualization and analysis.
Managing Resources and Deleting Jobs
As jobs remain stored in SAMSON’s cloud, they may incur minimal storage costs over time. Once you’re done with a project, permanently deleting completed jobs and their data from the cloud is recommended to optimize credit usage.
Conclusion
Cloud computing in SAMSON significantly enhances the ability of molecular modelers to handle large simulations effortlessly. It provides flexibility, scalability, and ease of use, whether you’re conducting tests or running extensive production simulations. To explore the complete workflow, visit the official documentation.
SAMSON and all SAMSON Extensions are free for non-commercial use. You can download SAMSON at SAMSON Connect.