Emerging Computing: From Device, Circuit to System

新兴计算：从设备、电路到系统

Most of the computers today are ‘von Neumann’ machines suffering from the serious limitation known as the von Neumann bottleneck which exhibits as “memory/power” wall. Workloads of today’s applications (such as AI, Big Data, and IoT) have also reached extremely high levels of complex computation. Many emerging computing paradigms have been widely studied (e.g., approximate, stochastic, neuromorphic, in-memory) to provide an opportunity to save orders of magnitude in time and energy by performing as much computation as possible inside the memory itself and only moving a few instructions and results between the processor and memory. To achieve such new computing paradigm efficiently relies on exploring the computing ability of the novel memory devices (e.g., ReRAM, PCRAM, FeRAM, Spin and Magnetic devices etc.) or improving the circuit and system of the traditional DRAM or SRAM to integrate computing in them. This special session offers participants from academic and industrial communities to discuss the field of material and device, the design strategies, fabrication and EDA method in circuit and architecture, and the exploration of promising applications.

ICET 2026 will take place at Chengdu, China, from May 14-17, 2027. This key electronics event should be a "must attend" on your conference calendar.

Call for Papers Timeline / 征稿时间

• Submission Deadline: January 25th, 2027
  全文截稿时间：2027年01月25日
  
• Notificate Date: February 25th, 2027
  注册截止时间：2027年02月25日
  
• Registration Deadline: March 10th, 2027
  注册截止时间：2027年03月10日
  

Oragnizing Chairs

• Zhiwei Li, National University of Defense Technology
• Nuo Xu, National University of Defense Technology