Area and Energy Efficient Viterbi Accelerator for Embedded Processor Datapaths
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 3
Abstract
Viterbi algorithm is widely used in communication systems to efficiently decode the convolutional codes. This algorithm is used in many applications including cellular and satellite communication systems. Moreover, Serializer-deserializers (SERDESs) having critical latency constraint also use viterbi algorithm for hardware implementation. We present the integration of a mixed hardware/software viterbi accelerator unit with an embedded processor datapath to enhance the processor performance in terms of execution time and energy efficiency. Later we investigate the performance of viterbi accelerated embedded processor datapath in terms of execution time and energy efficiency. Our evaluation shows that the viterbi accelerated Microblaze soft-core embedded processor datapath is three times more cycle and energy efficient than a datapath lacking a viterbi accelerator unit. This acceleration is achieved at the cost of some area overhead.
Authors and Affiliations
Abdul Rehman Buzdar, Liguo Sun, Muhammad Waqar Azhar, Muhammad Imran Khan, Rao Kashif
Keywords
Related Articles
- EP ID EP251089
- DOI 10.14569/IJACSA.2017.080355
- Views 112
- Downloads 0
Multiobjective Optimization for the Forecasting Models on the Base of the Strictly Binary Trees
The optimization problem dealing with the development of the forecasting models on the base of strictly binary trees has been considered. The aim of paper is the comparative analysis of two optimization variants which ar...
Design and Architecture of a Location and Time-based Mobile-Learning System: A Case-Study for Interactive Islamic Content
This paper describes a software design, architecture and process of a novel mobile-learning (m-Learning) approach based on smart-phone devices for retrieving relevant content in real-time based on the user’s-location and...
Detection of Mass Panic using Internet of Things and Machine Learning
The increase of emergency situations that cause mass panic in mass gatherings, such as terrorist attacks, random shooting, stampede, and fires, sheds light on the fact that advancements in technology should contribute in...
WhatsApp as an Educational Support Tool in a Saudi University
WhatsApp is a widely used social media app, growing in popularity across the Middle East, and the most popular in Saudi Arabia. In this paper, we investigate the usage of WhatsApp as an educational support tool in a Saud...
Prediction of Mental Health Problems Among Children Using Machine Learning Techniques
Early diagnosis of mental health problems helps the professionals to treat it at an earlier stage and improves the patients’ quality of life. So, there is an urgent need to treat basic mental health problems that prevail...