A placement optimization technique for 3D IC

2017 ◽  
Author(s):  
Sabyasachee Banerjee ◽  
Subhashis Majumder ◽  
Abhishek Varma ◽  
Debesh K. Das
Keyword(s):  
Optimization Technique ◽  
3D Ic ◽  
Placement Optimization

scholarly journals Deep-submicron Placement Minimizing Crosstalk

VLSI Design ◽  
2001 ◽  
Vol 12 (1) ◽  
pp. 1-12
Author(s):  
Jun Dong Cho ◽  
Jin Youn Cho
Keyword(s):  
High Performance ◽  
Optimization Technique ◽  
Deep Submicron ◽  
Multi Objective Optimization ◽  
Crosstalk Noise ◽  
Performance Constraints ◽  
Placement Optimization ◽  
Number Of Layers ◽  
Physical Attributes ◽  
Performance Issues

Placement of multiple dies on an MCM or high-performance VLSI substrate is a nontrivial task in which multiple criteria need to be considered simultaneously to obtain a true multi-objective optimization. Unfortunately, the exact physical attributes of a design are not known in the placement step until the entire design process is carried out. When the performance issues are considered, crosstalk noise constraints in the form of net separation and via constraint become important. In this paper, for better performance and wirability estimation during placement for MCMs, several performance constraints are taken into account simultaneously. A graph-based wirability estimation along with the Genetic placement optimization technique is proposed to minimize crosstalk, crossings, wirelength and the number of layers. Our work is significant since it is the first attempt at bringing the crosstalk and other performance issues into the placement domain.

The New Commutation Theory to the Optimization Technique of the Large DC Machine Commutation Design

2011 ◽  
Vol 131 (4) ◽  
pp. 654-666
Author(s):  
Qingliang Zhang ◽  
Takahiro Ueno ◽  
Noboru Morita
Keyword(s):  
Optimization Technique

Array Design for the Synthesis of Stair Step Patterns Using Firefly Optimization Technique

2019 ◽  
Vol 9 (4) ◽  
pp. 285
Author(s):  
Krishna Rudraraju Chaitanya ◽  
P. Mallikarjuna Rao ◽  
K. V. S. N. Raju ◽  
G. S. N. Raju
Keyword(s):  
Optimization Technique ◽  
Array Design ◽  
Firefly Optimization

TSV Geometrical Variations and Optimization Metric with Repeaters for 3D IC

2012 ◽  
Vol E95.C (12) ◽  
pp. 1864-1871 ◽  
Author(s):  
Hung Viet NGUYEN ◽  
Myunghwan RYU ◽  
Youngmin KIM
Keyword(s):  
3D Ic

Study of Power Control in CDMA System on the basis of optimization Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 126
Author(s):  
. Geetanjli
Keyword(s):  
Power Control ◽  
Multiple Access ◽  
Optimization Technique ◽  
System Optimization ◽  
Base Station ◽  
Particle Swarm Algorithm ◽  
Cdma System ◽  
Frequency Division ◽  
Cdma Systems ◽  
Time Division

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.

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