技術名稱 MaxPlace™ 強化學習獎勵平台
計畫單位 Maxeda Technology Inc.
計畫主持人 Dr.Tung-Chieh Chen
技術簡介
- 專注於電子設計自動化 (EDA) 領域,在積體電路的數位設計上提供了資料流分析、佈局規劃自動化、擺置最佳化以及其他客製化解決方案。
- 與國際 IC 設計大廠合作,提供多項經過量產驗證的 AI 輔助電子設計自動化解決方案 (AI-assisted EDA Solution)
- MaxPlace™ RL Reward Platform 通過快 100 倍的擺置速度,同時憑藉高相關性的獎勵,在實際量產驗證下,克服了機器資源和運算時間的限制。證實強化學習產出的布局結果明顯優於原始的參考設計流程,有效優化晶片性能,並將實體設計所需的時間從幾個月顯著縮短到數天
技術影片
科學突破性
MaxPlace™ RL Reward Platform
1. 100 Times Quicker: It can drastically expedite the physical design process, condensing months of work into a matter of days, achieving a placement speed that is 100 times faster.
2. Enhanced Performance: Reinforcement learning proves more effective in optimizing chip performance due to its ability to provide higher correlation rewards.
3. Production Proven: This approachs effectiveness has been validated through real production scenarios, as evidenced by its successful implementation in the MediaTek 5G Dimensity series chip.
產業應用性
Maxeda maintains ongoing collaborations with partners, including tier 1 clientsresearch institutions, aiming to consistently develop proven solutions that address real-world challenges. We are engaged in cooperating with tier-one foundries to meet customer demands in the post-Moore era. Our objective is to extend our success beyond Taiwan to the global market by leveraging a robust partner ecosystem such as this.
媒合需求
IC設計
關鍵字 半導體創新應用
  • 聯絡人
  • Michael Chang
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