Shahram. Darooei

Work place: Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran

E-mail: darooei@pco.iaun.ac.ir

Website:

Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Network Architecture, Distributed Computing, Data Structures and Algorithms

Biography

Shahram darooei Received his B.S. and M.S in computer engineering from Isfahan University. He is the first person graduates. He is the Chairman of the hardware computer in Najafabad University for 3 years and has teaching experience more than 15 years. He is the author and co-author of several conference papers. His research interests include computer network, signal processing and Distributed Computing.

Author Articles
A Novel Architecture for Adaptive Traffic Control in Network on Chip using Code Division Multiple Access Technique

By Fatemeh. Dehghani Shahram. Darooei

DOI: https://doi.org/10.5815/ijcnis.2016.08.03, Pub. Date: 8 Aug. 2016

Network on chip has emerged as a long-term and effective method in Multiprocessor System-on-Chip communications in order to overcome the bottleneck in bus based communication architectures. Efficiency and performance of network on chip is so dependent on the architecture and structure of the network. In this paper a new structure and architecture for adaptive traffic control in network on chip using Code Division Multiple Access technique is presented. To solve the problem of synchronous access to bus based interconnection the code division multiple access technique was applied. In the presented structure that is based upon mesh topology and simple routing method we attempted to increase the exchanged data bandwidth rate among different cores. Also an attempt has been made to increase the performance by isolating the target address transfer path from data transfer path. The main goal of this paper is presenting a new structure to improve energy consumption, area and maximum frequency in network on chip systems using information coding and decoding techniques. The presented structure is simulated using Xilinx ISE software and the results show effectiveness of this architecture.

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