Title
Universal Pre-Calculating Structure: Reducing Complexity of Ising Chips with Arbitrary Connectivity
Abstract
Combinatorial optimization problems widely exist in real-world application fields, such as intelligence computation. Solving combinatorial optimization problems is a great challenge for Von Neumann-architecture computers. Alternatively, the Ising chip is a promising solution for combinatorial optimization problems. However, the complexity of the next-spin calculation module greatly increase the hardware cost of the Ising chip. In this paper, we propose universal pre-calculating structures to simplify the next-spin calculating module for the Ising chip with arbitrary connectivity ranging from local to full connectivity. We establish a cost model to provide 1) fast and precise evaluation of hardware cost, and 2) guidelines to select the most suitable structure towards a certain design target. The hardware cost evaluation on FPGA agrees well with our cost model, and shows that our pre-calculating structure can reduce the total cost of Ising chips by 20%.
Year
DOI
Venue
2021
10.1109/DSC53577.2021.00040
2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC)
Keywords
DocType
ISBN
Ising Model,CMOS Circuit,Combinatorial Optimization Problem,Computer Architecture
Conference
978-1-6654-1816-4
Citations 
PageRank 
References 
0
0.34
10
Authors
7
Name
Order
Citations
PageRank
Jian Zhang11226.99
Linghui Lv200.34
Zhi Wang310.70
Ying Zhang416325.25
Yang Yang5612174.82
Jinjiu Li600.34
Yaohua Wang74414.23