Interoperable Design of Extreme-scale Application Software (IDEAS)


Day Event Type Event Title (See linked program page for full details) Registration Categories
Sunday Workshop ResCuE-HPC: 1st Workshop on Reproducible, Customizable, and Portable Workflows for HPC W
Monday Tutorial Better Scientific Software TUT
Monday Tutorial Managing HPC Software Complexity with Spack TUT
Monday Workshop Keynote Python in Better Scientific Software in 8th Workshop on Python for High-Performance and Scientific Computing W
Monday Workshop Paper The HPC Best Practices Webinar Series in
Fifth SC Workshop on Best Practices for HPC Training and Education
Tuesday BOF Spack Community BOF TP, EX, EXH
Wednesday Panel Innovative Approaches for Developing Accessible, Productive, Scalable HPC Training TP
Wednesday BOF Software Engineering and Reuse for Computational Science and Engineering TP, EX, EXH

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Project Vision

Advances in next-generation computational science and engineering (CSE) require the development of applications that can fully exploit emerging extreme-scale architectures for optimal performance and provide high-fidelity multiphysics and multiscale capabilities. To help address overwhelming complexity, the IDEAS family of projects focuses on improving scientific productivity by qualitatively improving developer productivity (positively impacting product quality, development time, and staffing resources) and software sustainability (reducing the cost of maintaining, sustaining, and evolving software capabilities in the future)—thereby enabling a fundamentally different attitude to creating and supporting CSE applications.  

We are creating an extreme-scale scientific software development ecosystem composed of high-quality, reusable CSE software components and libraries; a collection of best practices, processes, and tools; and substantial outreach mechanisms for promoting and disseminating productivity improvements.  We intend to improve CSE productivity by enabling better, faster and cheaper CSE application capabilities for extreme-scale computing.  


IDEAS projects address productivity concerns that are emerging from important trends in extreme-scale computing for science and engineering.  In particular, the projects:

  • Address a confluence of trends in hardware and increasing demands for predictive multiscale and multiphysics simulations, analysis, and design.
  • Respond to a trend of continuous refactoring with efficient, agile software engineering methodologies and improved software design.


Find out more about specific projects in the IDEAS family.



  • IDEAS-Classic was sponsored by the DOE Office of Science, Offices of Advanced Scientific Computing Research (ASCR) and Biological and Environmental Research (BER) to address issues of software productivity and sustainability in the Office of Science computational science and engineering community, with a particular emphasis on Terrestrial Ecosystem Modeling.

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