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| Conference Presentation (Other) | FZJ-2026-05825 |
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2026
Abstract: We are currently witnessing a substantial prevalence of GPU accelerated architectures among the current and future exascale supercomputers. This paradigm shift is now more than ever highlighting the need for a renewed leadership in numerical algebra software. In the EU ecosystem, the introduction of JUPITER, the first exascale booster in Europe, emphasizes the existing deficiency in distributed dense Numerical Linear Algebra libraries (NLA) that can effectively harness its enormous computational power. As application software is preparing to exploit these massively accelerated platforms, there is a critical need for software solutions that can manage and optimize computations at this scale. The lack of a clear candidate for such NLA library amounts to an entry-point barrier to fully utilizing exascale and post-exascale capabilities for scientific research and industrial applications, where distributed numerical linear algebra is essential for solving complex problems.In order to address this challenge, a groups of international experts launched in 2025 the ExaNLA initiative. Through its committee ExaNLA plans to define, oversee, and coordinate the core activities required to design and develop a high-performance, scalable, and portable dense Numerical Linear Algebra (NLA) library optimized for modern distributed and accelerated computing environments. The committee supports the creation of working groups whose activities may include the study and design of existing and novel algorithms, the evaluation and integration of established and emerging programming models, the formulation of benchmarks and testing protocols, and the development of community-driven documentation and support strategies.
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