AgentDSE uses an LLM agent in a simulator-in-the-loop setup to achieve competitive or superior architectural designs with up to 100x fewer evaluations than traditional black-box optimization methods.
Llm-dse: Searching accelerator parameters with llm agents
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
years
2026 5representative citing papers
An agent factory combining sub-kernel ILP assembly with multi-agent cross-optimization lets general coding agents deliver mean 8.27x speedups in HLS designs on standard benchmarks.
MailoHLS combines LLM semantic reasoning and GNN structural modeling with multi-adapter PEFT and Pareto optimization to produce near-Pareto-optimal HLS pragma configurations, reporting up to 12.42x latency speedup on seen kernels and 10.2x on unseen ones.
A3D is an agentic AI system that automates end-to-end hardware accelerator design for complex applications like LAMMPS and QMCPACK with no human intervention.
HYPERHEURIST uses simulated annealing to refine functionally validated LLM-generated RTL designs, producing more stable PPA optimization than single-pass LLM generation across eight benchmarks.
citing papers explorer
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AgentDSE: Reasoning-Augmented Architectural Design Space Exploration
AgentDSE uses an LLM agent in a simulator-in-the-loop setup to achieve competitive or superior architectural designs with up to 100x fewer evaluations than traditional black-box optimization methods.
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Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?
An agent factory combining sub-kernel ILP assembly with multi-agent cross-optimization lets general coding agents deliver mean 8.27x speedups in HLS designs on standard benchmarks.
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MailoHLS: Multi-Adapter Structure-Aware Learning for Pareto-Driven HLS Pragma Optimization
MailoHLS combines LLM semantic reasoning and GNN structural modeling with multi-adapter PEFT and Pareto optimization to produce near-Pareto-optimal HLS pragma configurations, reporting up to 12.42x latency speedup on seen kernels and 10.2x on unseen ones.
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A3D: Agentic AI flow for autonomous Accelerator Design
A3D is an agentic AI system that automates end-to-end hardware accelerator design for complex applications like LAMMPS and QMCPACK with no human intervention.
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HYPERHEURIST: A Simulated Annealing-Based Control Framework for LLM-Driven Code Generation in Optimized Hardware Design
HYPERHEURIST uses simulated annealing to refine functionally validated LLM-generated RTL designs, producing more stable PPA optimization than single-pass LLM generation across eight benchmarks.