2011
DOI: 10.2528/pier11080302
|View full text |Cite
|
Sign up to set email alerts
|

Crosstalk and Discontinuities Reduction on Multi-Module Memory Bus by Particle Swarm Optimization

Abstract: Abstract-Due to high-density routing under the CPU and DIMM areas, the original design of even and odd mode characteristic impedances changes. The occurrence of multi-drop problem between the CPU and memory chip causes over-and under-driven that reduce the eye opening. Furthermore, the different phase velocities of evenand odd-modes cause timing jitter at the receiver end. This paper proposes two steps to solve the complex issue of signal integrity for the multi-module memory bus. First, particle swarm optimiz… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
20
0

Year Published

2012
2012
2021
2021

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 14 publications
(20 citation statements)
references
References 21 publications
0
20
0
Order By: Relevance
“…The technique is based on neural networks (NNs) [5,[18][19][20][21][22][23][24][25][26], which use training sets produced by a novel binary variant of Particle Swarm Optimization (PSO) [27][28][29][30][31][32][33], called Mutated Boolean PSO (MBPSO) [10]. In the MBPSO, the update of particle velocities and positions is performed using exclusively Boolean expressions, while former binary PSO variants update the particle velocities using real number expressions [34].…”
Section: Introductionmentioning
confidence: 99%
“…The technique is based on neural networks (NNs) [5,[18][19][20][21][22][23][24][25][26], which use training sets produced by a novel binary variant of Particle Swarm Optimization (PSO) [27][28][29][30][31][32][33], called Mutated Boolean PSO (MBPSO) [10]. In the MBPSO, the update of particle velocities and positions is performed using exclusively Boolean expressions, while former binary PSO variants update the particle velocities using real number expressions [34].…”
Section: Introductionmentioning
confidence: 99%
“…Particle swarm optimization (PSO) has recently become a popular optimization technique in electromagnetic applications [20][21][22][23][24][25][26][27]. PSO is a global optimization technique, and has demonstrated its ability to optimize complex, multidimensional, and discontinuous problems.…”
Section: Antenna Design By Particle Swarm Optimizationmentioning
confidence: 99%
“…In particular, the SSN in a wide frequency range incidentally excites multiple resonance modes between the power/ground planes as in the parallel planes model, which would also introduce significant signal integrity problems, power integrity issues, and electromagnetic interference (EMI) [3][4][5]. If the SSN exceeds the noise margin, the IC may experience a functional failure.…”
Section: Introductionmentioning
confidence: 99%