Reaching a New Energy Sciences Workforce (RENEW)

Solicitation PDF

• Original at OSTI
• Cached local copy

Selected Pages

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This subprogram supports research that enables computing and networking at extreme scales and the understanding of extreme-scale and complex data from both simulations and experiments. It aims to make high performance scientific computers and networks highly productive and efficient to solve scientific challenges while attempting to reduce domain science application complexity as much as possible. The research is positioned in the context of multiple challenges across several areas such as sharp increases in the heterogeneity and complexity of computing systems and the need to integrate simulation, data analysis, and other tasks seamlessly and intelligently into coherent and usable workflows. Research in computer science is also motivated by major disruptive developments in artificial intelligence, machine learning, natural language processing, large language modeling, all of which offer the potential to significantly advance scientific discovery through novel hardware, software, theory, and algorithms for scalable computing.

Areas of interest in this subprogram include the following, as relevant to SC and DOE priority applications:

• Data: Data Management; Data analysis; Storage Systems; I/O, Visualization
• Computing Paradigms: Continuum Computing; Energy-efficient Computing; Heterogeneous Computing and Acceleration
• Systems Research: Programming Models, Environments, and Portability; Scalable Parallel Operating and Runtime Systems; Scalable Middleware
• Software: Performance Portability and Co-Design; Scientific Developer Tools and Automation for High Productivity and Assurance
• Distributed Systems: Complex Workflows, Distributed Scheduling and Resource Management; Advanced High-Speed Networking; Edge Computing; Experiment- Computation Integration
• Standardization: International Standards and Interoperability