MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration

arXiv:2608.06183 · cs.AI · Submitted 2026-08-06 · Read on arXiv

cs.AI

Submitted: 2026-08-06

Updated: 2026-09-01

Code: https://github.com/GEAR-SEU/MicroEvo-ICCAD-26

Terminology

• State-Aware Directive — 15× in this paper
• Core — 10× in this paper · explained in 2 episodes
• Active Knowledge Accumulation — 9× in this paper
• Multi-objective Optimization — 6× in this paper · explained in 4 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Bayesian Optimization — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Active Learning — 2× in this paper · explained in 6 episodes
• Annual International Symposium on Computer Architecture — 2× in this paper
• Decode — 2× in this paper · explained in 2 episodes
• IEEE Design Automation Conference — 2× in this paper
• Sample Efficiency — 2× in this paper · explained in 4 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• ACM International Conference On Computer Aided Design — 1× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Bayesian Optimization (BO) — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• LLMs with Monte Carlo Tree Search — 1× in this paper
• Meta-learning — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• ChatSVA: Bridging SVA Generation for Hardware Verification via Task-Specific LLMs
• iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs
• ChatModel: Automating Reference Model Design and Verification with LLMs
• CogMCTS: A Novel Cognitive-Guided Monte Carlo Tree Search Framework for Iterative Heuristic Evolution with Large Language Models
• HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design

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