Electrical design space exploration for high speed servers

被引：2

作者：

Wesley, Caleb ^{[1
]}

Mutnury, Bhyrav ^{[2
]}

Pham, Nam ^{[2
]}

Matoglu, Erdem ^{[2
]}

Cases, Moises ^{[2
]}

机构：

[1] North Carolina State Univ, ECE Dept, Raleigh, NC 27695 USA

[2] IBM Syst & Technol, Austin, TX 78758 USA

来源：

57TH ELECTRONIC COMPONENTS & TECHNOLOGY CONFERENCE, 2007 PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/ECTC.2007.374032

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Today's high-speed systems are characterized by a multitude of electrical design parameters due to their complexity. Therefore, performing a thorough design space exploration is computationally exhaustive. This is primarily the result of the number of variables (electrical parameters) needed to do a comprehensive analysis. In this paper, a Genetic Algorithm (GA) based optimization method is described as a solution to address the above problem. Traditional statistical approaches like Design of Experiments (DoE) are explained along with their advantages and limitations that the GA based approach improves upon.

引用

页码：1748 / +

页数：2

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