@inproceedings{2fbd1071624c422887d691677fb9df5c,
title = "In-Memory Annealing Unit (IMAU): Energy-Efficient (2000 TOPS/W) Combinatorial Optimizer for Solving Travelling Salesman Problem",
abstract = "An in-memory annealing unit (IMAU) as an energy-efficient combinatorial optimizer for solving the travelling salesman problem (TSP) has been demonstrated for the first time. A hardware-algorithm co-optimization approach is adopted to overcome the challenges of solving TSP using IMAU, such as large problem size, insufficient weight precision, and inaccurate analog computing. The high-capacity (1152x1024) binary RRAM-based IMAU with an embedded simulated annealing (SA) function achieves an extremely high throughput of 90 TOPS and energy efficiency of 2000 TOPS/W. A new multi-step SA algorithm is proposed to solve the otherwise floating-point TSP using merely 5-level (2.3 bit) weights and achieves the floating point-equivalent shortest route for the 10-city TSP in IMAU.",
author = "Hong, {Ming Chun} and Cho, {Le Chih} and Lin, {Chih Sheng} and Lin, {Yu Hui} and Chen, {Po An} and Wang, {I. Ting} and Tzeng, {Pei Jer} and Sheu, {Shyh Shyuan} and Lo, {Wei Chung} and Wu, {Chih I.} and Hou, {Tuo Hung}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Electron Devices Meeting, IEDM 2021 ; Conference date: 11-12-2021 Through 16-12-2021",
year = "2021",
doi = "10.1109/IEDM19574.2021.9720619",
language = "English",
series = "Technical Digest - International Electron Devices Meeting, IEDM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "21.3.1--21.3.4",
booktitle = "2021 IEEE International Electron Devices Meeting, IEDM 2021",
address = "美國",
}