{
  "id": 246289,
  "title": "MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration",
  "url": "https://urgent.news/2026/08/06/microevo-knowledge-guided-llm-sampling-for-efficient",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-06T15:43:31.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.06183v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Microarchitecture design space exploration suffers from expansive search spaces and expensive PPA evaluation, leaving only a small simulation budget for design decision-making. Existing methods perform blind search without considering microarchitectural dependencies and fail to learn from the iterative search effectively, leading to wasted evaluations and weak Pareto convergence. In this paper,…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}