An improved Concurrent Operation Scheduling and Unit Allocation Algorithm based on Evolutionary Technique

被引：0

作者：

Li Haijun ^{[1
]}

Zhou Tao ^{[2
]}

Lu Huiling ^{[3
]}

Ma Guangsheng ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Peoples R China

[2] Shaanxi Univ Technol, Dept Math, Hanzhong, Peoples R China

[3] Shaanxi Univ Technol, Dept Comp Sci, Hanzhong, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15 | 2007年

关键词：

high level synthesis; fuzzy theory; evolutionary technique;

D O I：

10.1109/WICOM.2007.757

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Propose a concurrent bottom up high level synthesis design flow based on Fuzzy set theory to improvement the circuit performance. It treats unscheduled operations as having uncertain schedules, and then applies fuzzy set theory to quantify these uncertainties during allocation. At last synthesis circuit based on concurrent Evolutionary Technique. Experimental results are presented to demonstrate the strength of this approach.

引用

页码：3047 / +

页数：2

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