Abstract
This special issue on Innovative research and development toward the exascale era explores new foundational and translational research toward enabling exascale computing for emerging scientific and societal challenges. Exascale computing is defined as the capability to perform 1018 operations per second. Productively harnessing such a scale of processing, storage, and networking capabilities for diverse domains— including high-performance computing (HPC) simulations, artificial intelligence (AI), and extreme data-driven computing— relies on not only revitalizing existing parallel and distributed computing technologies but also innovating new solutions. Papers in this special issue explore diverse topics in research encompassing parallel, distributed, and heterogeneous systems for exascale, including advances in applications, programming environments, runtimes, libraries, innovative algorithms, domain-specific frameworks, systems architecture, performance analysis, data processing, and networking technologies.
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