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
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.· ACM SIGOPS Operating Systems...· 1 citation· ⚡1
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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