International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,June 2017,

Topic : Survey on Classification of Time Series Data

Authors:Manjunath rao B M || Dr H V Ravish Aradhya

Abstract:Power reduction in VLSI designs are one of the key design constraints along with others, namely timing, area, quality constraints, noise, etc. Even though there has been a steady growth of devices that are able to be placed in a given area of a chip as per moore’s law, we cannot say the same for battery technologies as they have never been able to catch up. Since the advent of the deep sub-micron era, speed and higher frequency of operation have become the prime goals of any design as the hunger for faster and better optimized systems are never ending. But as a consequence of faster operating speeds which basically means higher clock frequencies, power becomes one of the main constraints to be considered as the most important component of power dissipation, namely the dynamic power dissipation has a proportional relationship with the clock frequency. Hence clock power optimization is taken up as the prime objective of this paper for technologies below 14 nm as at these technologies, other secondary power dissipation components start to become more prominent. Various design techniques have been discussed and applied at both the circuit design and the rtl levels in order to provide a complete review of most of the low power design techniques which can be used to reduce power at both these levels of abstraction. An improvement of 25% and 15.7% of power reduction is observed in clock power and overall power respectively. There is also a power reduction of 2-5% for each of the rtl level optimization techniques...

Keywords: Clock power optimization, Moore’s law, Deep sub-micron era and tehnologies, Levels of abstraction

Download Paper


DOI: 01.1617/vol4/iss3/pid79641

Volume4,June 2017,

Topic : Clock Power Optimizations in VLSI design at advanced technology nodes

Authors:Manjunath rao B M || Dr H V Ravish Aradhya

Abstract:Power reduction in VLSI designs are one of the key design constraints along with others, namely timing, area, quality constraints, noise, etc. Even though there has been a steady growth of devices that are able to be placed in a given area of a chip as per moore’s law, we cannot say the same for battery technologies as they have never been able to catch up. Since the advent of the deep sub-micron era, speed and higher frequency of operation have become the prime goals of any design as the hunger for faster and better optimized systems are never ending. But as a consequence of faster operating speeds which basically means higher clock frequencies, power becomes one of the main constraints to be considered as the most important component of power dissipation, namely the dynamic power dissipation has a proportional relationship with the clock frequency. Hence clock power optimization is taken up as the prime objective of this paper for technologies below 14 nm as at these technologies, other secondary power dissipation components start to become more prominent. Various design techniques have been discussed and applied at both the circuit design and the rtl levels in order to provide a complete review of most of the low power design techniques which can be used to reduce power at both these levels of abstraction. An improvement of 25% and 15.7% of power reduction is observed in clock power and overall power respectively. There is also a power reduction of 2-5% for each of the rtl level optimization techniques...

Keywords: Clock power optimization, Moore’s law, Deep sub-micron era and tehnologies, Levels of abstraction

Download Paper


DOI: 01.1617/vol4/iss6/pid79641


Related Articles

Design and Implementation of nRF Based Smart Home System Using IoT

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid024

Volume4 ,March 2017.

Real-Time Vehicle Tracking Using GSM & GPS with Location Display on Google Maps Using Raspberry Pi

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid025

Volume4 ,March 2017.

Obstacle Avoiding Intelligent Robot

Authors: Prof.S. B. Mandlik || Miss.Kshirsagar Snehal D , Miss. Gaikwad Jyoti B , Miss.Wagh Varsha S , Miss. Ingale komal M

Doi : 01.1617/vol4iss3pid026

Volume4 ,March 2017.

Increased Learning In Retinal Blood Vessel Segmentation Approach Based on Fuzzy-C Means Clustering and Mathematical Morphology

Authors: Naluguru Udaya Kumar || Tirumala Ramashri

Doi : 01.1617/vol4iss3pid027

Volume4 ,March 2017.

A Review on Atmospheric Effects on Free Space Optical Link

Authors: Shaik.Taj Mahaboob || A.Sree Madhuri

Doi : 01.1617/vol4iss3pid028

Volume4 ,March 2017.

Efficient Medical Image Compression based on Region of Interest

Authors: S. Muni Rathnam || T. Ramashri

Doi : 01.1617/vol4iss3pid029

Volume4 ,March 2017.

CBIR Based Crack Detection System for Surface Traffic

Authors: Dr.Abraham Mathew || Dr.S. Saravanan, Dr. P. Mohanaiah

Doi : 01.1617/vol4iss3pid030

Volume4 ,March 2017.

IOT Based Digital Notice Board

Authors: K.Dinesh || M.Siva Ramakrishna

Doi : 01.1617/vol4iss3pid031

Volume4 ,March 2017.

Automatic Monitoring and Controlling of Greenhouse System using Zigbee

Authors: G. Hima Bindu || K. Lokesh Krishna , K. Hemalatha

Doi : 01.1617/vol4iss3pid032

Volume4 ,March 2017.

Hybrid Image Classification using ACO with Fuzzy Logic for Textured and Non-Textured Images

Authors: Subba Rao K || Dr. Sambasivarao N , Dr. Sammulal P

Doi : 01.1617/vol4iss3pid033

Volume4 ,March 2017.



Editor-in-Chief

Editor Image

Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


View more

IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


DOWNLOAD

Copy-Right Form Paper Template

ACCEPTANCE RATIO

ACCEPTANCE RATIO: 29.74%
ARTICLES PUBLISHED:0489
PAPER RECEIVED:01630
Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
Contact : info@ijerece.com

IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA