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Explore Exascale Computing Project's software technology achievements and future directions with Mike Heroux, senior scientist at Sandia National Laboratories.
Explore key insights and lessons learned from Exascale Computing Project applications development with Erik Draeger, deputy director of Application Development.
Explore ECP successes and lessons learned, focusing on integration, as presented by Lori Diachin, project director, to the Industry and Agency Council upon completion of technical work.
Explore secure software development practices to mitigate malicious attacks and protect scientific software integrity, authentication, and sustainability.
Discover strategies for enhancing software practices in exascale computing and learn valuable lessons from the IDEAS Productivity Project's experience.
Explore HACC's evolution for exascale systems, new capabilities, and performance optimization in cosmology simulations.
Simplify scientific Python package installation in HPC environments with a new tool that reduces errors and enables sharing among users.
Explore infrastructure and tools for high-fidelity testing in HPC environments, focusing on hardening software for DOE's Exascale Computing Project and future applications.
Learn strategies for writing readable, reusable, and maintainable scientific code. Master techniques for creating concise functions, restructuring complex code, and effective commenting.
Explore strategies for fostering diversity and inclusion in DOE high-performance computing, addressing workforce challenges and opportunities.
Explore computing pioneer Jack Dongarra's insights on the Exascale Computing Project's progress, achievements, and future impact on scientific research and high-performance computing.
Explore resources for creating and maintaining robust, high-quality, and secure open-source software through the OpenSSF Best Practices Badge Program.
Explore the impact of El Capitan, LLNL's exascale supercomputer, on nuclear stockpile stewardship, fusion research, and AI. Learn about its software, partnerships, and facility upgrades.
Explore strategies for developing performance-portable scientific applications, focusing on QMCPACK's redesign for GPU and CPU compatibility in materials property prediction.
Explore GPU-based electronic structure computations for exascale platforms using PROGRESS and BML libraries. Learn implementation strategies, performance optimization, and scaling techniques.
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