AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Recent LLMs increasingly adopt hybrid designs that replace standard attention with linear attention, such as Gated DeltaNet (GDN) and Kimi Delta Attention (KDA). Although they compress the context into a fixed-size recurrent state and substantially reduce the cost of long-context processing, repeatedly reading and upda...
It is shown that semantic understanding and reasoning about a program is a vital component in inserting effective software prefetches, and that prefetching at the scale of large codebases poses new challenges, including prefetch codependence and interference.
NEMO is presented, a nimble and expressive hardware memory telemetry engine for server memory controllers (MCs) that gives OS subsystems policy-specific views of memory behavior and provides higher-fidelity signals at substantially lower CPU overhead across a range of state-of-the-art memory management systems.
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.
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