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
E-Assessment System Based on IMS QTI for the Arabic Grammar
Nowadays e-learning has become a fundamental stream of learning. E-assessment is an important and essential phase of the e-learning process because of all the decisions we will make about learners when teaching them. In...
Forecasting Feature Selection based on Single Exponential Smoothing using Wrapper Method
Feature selection is one way to simplify classification process. The purpose is only the selected features are used for classification process and without decreasing its performance when compared without feature selectio...
AUTOMATED EDGE DETECTION USING CONVOLUTIONAL NEURAL NETWORK
The edge detection on the images is so important for image processing. It is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. Curr...
Carbon Break Even Analysis: Environmental Impact of Tablets in Higher Education
With the growing pace of tablets use and the large focus it is attracting especially in higher education, this paper looks at an important aspect of tablets; their carbon footprint. Studies have suggested that tablets ha...
A Hybrid Approach for Feature Subset Selection using Ant Colony Optimization and Multi-Classifier Ensemble
An active area of research in data mining and machine learning is dimensionality reduction. Feature subset selection is an effective technique for dimensionality reduction and an essential step in successful data mining...