七篇论文被DAC'2026接收

七篇关于高效人工智能的论文被DAC'2026接收为正式论文。

最近更新于 9月 15, 2026

高效人工智能加速器：

  • EdgeSC: Universal Stochastic Computing Architecture for Efficient Edge Detection（与来自HKU的Prof. Ngai Wong合作）
  • DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference
  • NASiC: 3D NAND-based CAM-Selected Multibit CIM Architecture for Efficient On-Device Mixture-of-Experts LLM Inference
  • S2CIM: A Secure-Computation and Secure-Storage Compute-in-Memory Architecture with Circuit-Algorithm Co-Design for Efficient and Trustworthy Edge Inference（由来自PKU的Prof. Kechao Tang主导）

高效人工智能算法：

  • KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning
  • Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models
  • DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation
会议