Building Trust in Science through HPC Co-Design
High Performance Computing (HPC) co-design is realized through collaboration among individuals and teams who shape interoperability among hardware and software technologies, artificial intelligence, distributed computing infrastructure, advanced simulation and real-time data analysis.
As scientific discoveries and challenges grow in scale and complexity, enabled by high-fidelity mathematical models, cross-cutting artificial intelligence (AI), and the rise in computational capacity,
- How can we ensure trust in the methods, processes, and solutions derived through exascale-class co-design?
- How can we enable validated, reproducible, and reliable scientific results with HPC?
- How will co-design position HPC for future demands on scientific system trustworthiness?
- How can we strengthen societal trust towards the research ecosystems?
- Can the scientific computing community help deepen public communication regarding research findings?
We invite the PASC26 audience to join us in exploring topics such as:
- AI in medicine and healthcare: How do we work with doctors and patients to enhance confidence and reliability in diagnoses?
- Extreme weather event modeling and simulation: Can we demonstrate validity of our models to improve trust in reliability and efficacy in our results?
- Energy assurance and security: What role does co-design play in developing reliable and resilient infrastructure?
- Epidemiological and disease modeling: How does co-design contribute to timely communication of results?
- Digital Twins and Collaborative Virtual Environments: How can we visualize, interact, and experience scientific phenomena meaningfully and in ways that reduce uncertainty in our understanding?