Title :
A neural network for the scheduling problem in high level synthesis
Author :
Kawaguchi, Tsuyoshi ; Todaka, Tamio
Author_Institution :
Dept. of Comput. Sci. & Intelligent Syst., Oita Univ., Japan
fDate :
30 Apr-3 May 1995
Abstract :
The operation scheduling is an important subtask in the automatic synthesis of digital systems. In this paper we present a neural network model to solve the operation scheduling problem. We also propose an algorithm to lead the network configuration to the global optimum
Keywords :
data flow graphs; high level synthesis; minimisation; neural nets; scheduling; simulated annealing; control data flow graph; digital system automatic synthesis; energy function minimization; feasible constrained scheduling; global optimum; high level synthesis; network configuration; neural network; operation scheduling; resource constrained scheduling; simulated annealing; time constrained scheduling; Automatic control; Computer science; Control systems; Digital systems; Flow graphs; Intelligent networks; Intelligent systems; Network synthesis; Neural networks; Processor scheduling;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.519885
