CROSS compiler maps HE workloads to TPU architecture via basis-aligned and memory-aligned transformations, reporting higher throughput-per-watt than prior GPU and ASIC libraries on NTT and HE operators.
A large-scale survey on the usability of ai programming assistants: Successes and challenges,
3 Pith papers cite this work. Polarity classification is still indexing.
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AI coding assistants introduce code issues that persist in 22.7% of cases across real projects, creating measurable long-term technical debt.
Qualitative interview study with 22 practitioners identifies multi-level benefits, challenges, and mitigation strategies for using LLMs in software development.
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Leveraging ASIC AI Chips for Homomorphic Encryption
CROSS compiler maps HE workloads to TPU architecture via basis-aligned and memory-aligned transformations, reporting higher throughput-per-watt than prior GPU and ASIC libraries on NTT and HE operators.
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Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild
AI coding assistants introduce code issues that persist in 22.7% of cases across real projects, creating measurable long-term technical debt.
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Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
Qualitative interview study with 22 practitioners identifies multi-level benefits, challenges, and mitigation strategies for using LLMs in software development.