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M. Hashemi

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Preprint Jul 2026

Themis: Software-Defined Hardware Prefetching

Themis is a profile-guided hardware prefetching solution that implements a novel hardware-software interface for data prefetching: the software directs the hardware on where to prefetch, and the hardware identifies and issues prefetches in the regions of interest.

Keisuke Kamahori, Neil Adit, Kan Zhu et al. · 0 citations
Jul 2026

AI for Systems is "AGI-Complete"

It is shown that solving systems problems such as resource scheduling and code optimization requires reasoning that is fundamentally as hard as any reasoning problem a human might have to solve, which makes systems problems a promising target for AGI research, and that both the AI and systems community should investiga...

Martin Maas, M. Hashemi, Kathryn S. McKinley et al. · 1 citation · ⚡1
Review Aug 2026

Characterizing the Quality Profile of AI-Generated C++ in Production

AI-generated C++ code has a distinct quality profile, showing higher rates of interface and coupling burdens, copy and allocation overheads, and a reliance on explicit loops over optimized standard APIs, which translates into tangible downstream costs, including increased review effort and a 5-8% increase in compute re...

Michael Tran, Fred Lewis, Kun Yang et al. · 1 citation

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