Present your view of what is going well, and what needs to be improved. Discuss your successes and challenges with your peers in the community.
| Event Information | Details |
|---|---|
| Event Name | 2026 National Laboratories Sustainable Scientific Software Conference (NLS³C) |
| Website | https://s3c.sandia.gov/ |
| Event Date | May 4-7, 2026 |
| Abstract Deadline | March 1, 2026 |
| Limits on participation | Registration is free for national lab employees with a .gov, .org, .mil or awe.co.uk email address; others should contact the organizers for eligibility. |
The National Laboratories Sustainable Scientific Software Conference (NLS³C) will help connect individuals and teams from the High Performance Computing (HPC) community that are working to deliver scientific software solutions in a sustainable manner. Sustainable software delivery spans the spectrum of software engineering, from design and development to DevOps, and software deployment platforms, from laptops to HPC systems.
The NLS³C committee is excited to have our fifth conference in 2026. We are now partnering with the National Labs Information Technology (NLIT) summit to have our tracks executed. We are looking to get broad input from everyone in the Development and Operations workflow to submit an abstract and present your view of what is going well, and what needs to be improved. If you are a user, application developer, DevOps engineer, or system administrator, consider discussing your successes and challenges with your peers in the community.
Themes of this year's conference include:
- DevSecOps Fundamentals
- DevSecOps Infrastructure for CI/CD
- DevSecOps Principles and Practices
- Secure Software Development Lifecycle
- Teams Training for Cybersecurity Awareness
- Scientific Software Infrastructure
- CI/CD Tools and Infrastructure for HPC
- Scaling CI/CD to HPC Systems
- Overcoming CI/CD Challenges
- Dependency Management and Software Configuration
- Code Management Templates
- ML Model Management and Deployment
- Containerization
- Software Development for Scientific Applications
- Scientific Software Development Challenges
- Coding for Graphics Processing Units (GPUs)
- Integrating Open-Source Software (OSS)
- Migrating Existing Software to Cloud Platforms
- Software Security “Best” Practices
- Sustainable Software “Best” Practices
- Picking the “Best” Software Tools for Your Software
- Metrics to Determine Health of Your Software
- AI and Machine Learning in Software Development
- Role of AI in Scientific Software Development
- Data and Model Curation for Machine Learning Workloads
- Current Applications and Limitations of AI in Government Labs
- 3–5-Year Strategies for Embracing AI/LLM
- Hosting On-Prem, Open-Source LLMs
- HPC System Management
- System Management and Outage Recovery
- Optimizing Jobs for HPC Systems
- Architectural and Operational Strategies
- Cluster Monitoring
- Cross-Facility and Hybrid Computing
- Cloud-HPC Integration
- Hybrid Architectures
- Software Portability and Reproducibility
- Scaling Software for Multiple Platforms
- Secure and Sustainable Cross-Facility Workflows
- Team Building and Management
- Building Successful Technical Teams
- Research Software Engineering (RSE) as a Career
- Mentoring and Sourcing Talent
- Agility in Team Dynamics
- Bridging the Gap Between Junior and Senior Engineers
- Software Engineering Research and Innovation
- Incorporating Human-Centered Design in Engineering Workflows
- Technical Advancements in Software Engineering (e.g. Autonomy, VR/AR, IoT, Robotics)
- Test Driven Development
- Scientific Data Management
- Metadata Management
- Research Data Lifecycle
- Data Platforms and Governance
- AI-Ready Data
- Data Centric Computing/Data Discovery
The parent National Laboratories Information Technology Summit includes additional topics of interest.
Please refer to the event website for details and any updates.
