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Semiconductor Engineering 芯片与封装· Linda Christensen·· 4 小时前AI 评分27

芯片行业技术论文集锦:HBM 功耗、GAAFET 漏电路径与 Agentic AI 芯片设计

Chip Industry Technical Paper Roundup: Oct. 20

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Semiconductor Engineering 收录多篇新芯片技术论文:Argonne 国家实验室与伊利诺伊大学厄巴纳-香槟分校研究跨芯片、scale-up 与 scale-out 域的 agentic AI 异构系统设计;Sandia 国家实验室用第一性原理模拟揭示 GAAFET 新漏电路径。

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HBM power consumption; GAAFET leakage pathways; agentic AI for heterogeneous system design; nanoelectromechanical gain-cell eDRAM; AI-accelerated 3D-IC thermal modeling; agentic AI for RTL verification and debugging; thermal side-channel attacks in autonomous vehicles.

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New technical papers recently added to Semiconductor Engineering’s library:

Technical Paper Research Organizations
Agentic AI for Heterogeneous System Design Across Chip, Scale-Up, and Scale-Out Domains Argonne National Laboratory, University of Illinois Urbana-Champaign
Revealing New Leakage Paths in GAAFETs using Predictive First-Principles Simulations Sandia National Laboratories, Luxembourg Institute of Science and Technology
Nanoelectromechanically Gated Gain Cell eDRAM UC Berkeley, Samsung Electronics, Intel
A Composable AI-Accelerated Iterative Solver for 3D-IC Thermal Modeling Cadence Design Systems, University of Notre Dame
Understanding the Power Consumption of Modern High Bandwidth Memory: Experimental Analysis and Modeling Using Real HBM2 DRAM Chips ETH Zürich, New York University
Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification Columbia University, Google DeepMind, Google
Can Autonomous Vehicles Keep Their Cool? A Survey of Thermal Side-Channel and Perception Attacks Missouri University of Science and Technology

Find more semiconductor research papers here.

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Linda Christensen

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Linda Christensen is vice president of operations and a contributing writer at Semiconductor Engineering.

来源: Semiconductor Engineering 芯片与封装 · semiengineering.com