By Topic

A FPGA-based custom computing system for solving the assignment problem

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hung, D.L. ; Dept. of Electr. Eng. & Comput. Sci., Washington State Univ., Richland, WA, USA ; Jun Wang

The assignment problem is a classical combinatorial optimization problem arising in numerous design and planning contexts. Solving an assignment problem of large scale is computationally intensive and time consuming. The paper discusses the development of an FPGA based custom computing system that can accelerate the computation by exploiting the intrinsic parallelism of a recently proposed recurrent neural network for solving the assignment problem. The theoretical background of this work has been discussed in other papers. The digital realization of the system, including architecture, design, FPGA implementation and verification are discussed

Published in:

FPGAs for Custom Computing Machines, 1998. Proceedings. IEEE Symposium on

Date of Conference:

15-17 Apr 1998