This work provides a concrete layered C++ MPI binding using C++20 concepts, with a core extensible layer and adapters for GPU and portability libraries, backed by an open-source implementation.
Proceedings of the JuliaCon Conferences1(1), 68 (2021).https://doi
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Empirical study of agentic LLM generation of parallel Julia code finds reliable execution only at small scales with recurring failures in task dependencies and scheduling at larger scales.
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Concepts in Practice: C++ MPI Bindings for the HPC Ecosystem. From a Standardizable Core to a Composable Interface
This work provides a concrete layered C++ MPI binding using C++20 concepts, with a core extensible layer and adapters for GPU and portability libraries, backed by an open-source implementation.
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Generated, Parallel, Scalable? A Study of Agentic AI-Generated Julia Code on Supercomputers
Empirical study of agentic LLM generation of parallel Julia code finds reliable execution only at small scales with recurring failures in task dependencies and scheduling at larger scales.