AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Field-effect transistor (FET) layouts on exfoliated two-dimensional flakes are typically drawn by hand for each flake, placing contacts and gates to match its position and outline in optical micrographs. To our knowledge, no executable benchmark tests whether language-model agents can perform this flake-specific constr...
These results identify base-model capability, target knowledge, execution feedback, and same-target measurement as central to cross-architecture kernel generation as central to cross-architecture kernel generation.
This work formalizes fork placement as locating the pivots of the chain's value curve, where the expected outcome turns, and proposes belief-shift branching, which read the model's answer belief at candidate boundaries and fork just before the step where consecutive beliefs diverge most.
This work presents SparseDitto, an LLM-based system that constructs a GPU kernel for each matrix, operator, and target GPU, and supports SpMV, SpMM, and SpGEMM within a unified design framework.
HLSmith, an expert-guided framework for translating C/C++ programs into optimized HLS accelerators, is presented and evaluated on PolyBench against ChatHLS, a leading prior agent-orchestration framework for HLS accelerator development.
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