... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@ia... more ... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@iaumajlesi.ac.ir Mohsen Mossavi Isfahan University Faculty of Engineering Department of Electronic Engineering smmossavi@eng.ui.ac.ir ...
... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@ia... more ... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@iaumajlesi.ac.ir Mohsen Mossavi Isfahan University Faculty of Engineering Department of Electronic Engineering smmossavi@eng.ui.ac.ir ...
ABSTRACT This paper has been withdrawn by the authors. In this paper, we propose a new low power ... more ABSTRACT This paper has been withdrawn by the authors. In this paper, we propose a new low power coding technique by decreasing the number of switching activities on the buses which use transition signaling to transmit data. This approach dedicates the symbols with less ones to high probability data. MFLP unlike the most low power encoding does not rely on spatial redundancy. Due to this superiority, MFLP is unique in power decreasing in the Network on Chip (NoC). Not only does this algorithm reduce the power consumption, but also it can compress the data. It offers a tradeoff to designers to choose between compression and power; that is, the more power consumption decrease we need, the less compression we earn. This coding uses tree based infrastructure in order to decrease the number of ones to reduce the switching activities, and the power consumption consequently. The proposed algorithm constructs the tree with this contribution that code words with less ones are allocated to more frequent data. The experimental results for the outside and inside of the NoC indicate that the proposed coding algorithm reduces the switching activity up to 30 and 45%, the link power consumption up to 35 and 46% and the total power dissipation up to 34.9 and 16% for the outside and inside of the NoC, respectively.
International journal of scientific and engineering research, Sep 25, 2015
Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC... more Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC). Power consumption is a controversial issue in on-chip interconnections. Due to this issue and limited resources in NoCs such as wires, switches and virtual channels, mapping problem which are dealing with obtaining an appropriate position in topology, plays crucial role in design of NoCs. In this paper, we utilize Genetic Algorithm (GA) and Simulated Annealing (SA) as meta-heuristic algorithms to solve the Quadratic Assignment Problem (QAP) and map the tasks to the cores on mesh-based NoCs. Experimental results reveal that meta-heuristic algorithms not only reduce the power dissipation but also improve the performance in NoCs.
Doctor of Philosophy in Electrical and Electronic Engineering. Thesis (Ph.D.)--Eastern Mediterran... more Doctor of Philosophy in Electrical and Electronic Engineering. Thesis (Ph.D.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Electrical and Electronic Engineering, 2016. Supervisor: Prof. Dr. Åžener Uysal.
International Journal of Scientific and Engineering Research, 2015
Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC... more Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC). Power consumption is a controversial issue in on-chip interconnections. Due to this issue and limited resources in NoCs such as wires, switches and virtual channels, mapping problem which are dealing with obtaining an appropriate position in topology, plays crucial role in design of NoCs. In this paper, we utilize Genetic Algorithm (GA) and Simulated Annealing (SA) as meta-heuristic algorithms to solve the Quadratic Assignment Problem (QAP) and map the tasks to the cores on mesh-based NoCs. Experimental results reveal that meta-heuristic algorithms not only reduce the power dissipation but also improve the performance in NoCs.
This paper has been withdrawn by the authors. In this paper, we propose a new low power coding te... more This paper has been withdrawn by the authors. In this paper, we propose a new low power coding technique by decreasing the number of switching activities on the buses which use transition signaling to transmit data. This approach dedicates the symbols with less ones to high probability data. MFLP unlike the most low power encoding does not rely on spatial redundancy. Due to this superiority, MFLP is unique in power decreasing in the Network on Chip (NoC). Not only does this algorithm reduce the power consumption, but also it can compress the data. It offers a tradeoff to designers to choose between compression and power; that is, the more power consumption decrease we need, the less compression we earn. This coding uses tree based infrastructure in order to decrease the number of ones to reduce the switching activities, and the power consumption consequently. The proposed algorithm constructs the tree with this contribution that code words with less ones are allocated to more freque...
... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@ia... more ... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@iaumajlesi.ac.ir Mohsen Mossavi Isfahan University Faculty of Engineering Department of Electronic Engineering smmossavi@eng.ui.ac.ir ...
... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@ia... more ... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@iaumajlesi.ac.ir Mohsen Mossavi Isfahan University Faculty of Engineering Department of Electronic Engineering smmossavi@eng.ui.ac.ir ...
... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@ia... more ... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@iaumajlesi.ac.ir Mohsen Mossavi Isfahan University Faculty of Engineering Department of Electronic Engineering smmossavi@eng.ui.ac.ir ...
ABSTRACT This paper has been withdrawn by the authors. In this paper, we propose a new low power ... more ABSTRACT This paper has been withdrawn by the authors. In this paper, we propose a new low power coding technique by decreasing the number of switching activities on the buses which use transition signaling to transmit data. This approach dedicates the symbols with less ones to high probability data. MFLP unlike the most low power encoding does not rely on spatial redundancy. Due to this superiority, MFLP is unique in power decreasing in the Network on Chip (NoC). Not only does this algorithm reduce the power consumption, but also it can compress the data. It offers a tradeoff to designers to choose between compression and power; that is, the more power consumption decrease we need, the less compression we earn. This coding uses tree based infrastructure in order to decrease the number of ones to reduce the switching activities, and the power consumption consequently. The proposed algorithm constructs the tree with this contribution that code words with less ones are allocated to more frequent data. The experimental results for the outside and inside of the NoC indicate that the proposed coding algorithm reduces the switching activity up to 30 and 45%, the link power consumption up to 35 and 46% and the total power dissipation up to 34.9 and 16% for the outside and inside of the NoC, respectively.
International journal of scientific and engineering research, Sep 25, 2015
Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC... more Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC). Power consumption is a controversial issue in on-chip interconnections. Due to this issue and limited resources in NoCs such as wires, switches and virtual channels, mapping problem which are dealing with obtaining an appropriate position in topology, plays crucial role in design of NoCs. In this paper, we utilize Genetic Algorithm (GA) and Simulated Annealing (SA) as meta-heuristic algorithms to solve the Quadratic Assignment Problem (QAP) and map the tasks to the cores on mesh-based NoCs. Experimental results reveal that meta-heuristic algorithms not only reduce the power dissipation but also improve the performance in NoCs.
Doctor of Philosophy in Electrical and Electronic Engineering. Thesis (Ph.D.)--Eastern Mediterran... more Doctor of Philosophy in Electrical and Electronic Engineering. Thesis (Ph.D.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Electrical and Electronic Engineering, 2016. Supervisor: Prof. Dr. Åžener Uysal.
International Journal of Scientific and Engineering Research, 2015
Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC... more Network on Chip (NoC) has been introduced to support communications demand in System on Chip (SoC). Power consumption is a controversial issue in on-chip interconnections. Due to this issue and limited resources in NoCs such as wires, switches and virtual channels, mapping problem which are dealing with obtaining an appropriate position in topology, plays crucial role in design of NoCs. In this paper, we utilize Genetic Algorithm (GA) and Simulated Annealing (SA) as meta-heuristic algorithms to solve the Quadratic Assignment Problem (QAP) and map the tasks to the cores on mesh-based NoCs. Experimental results reveal that meta-heuristic algorithms not only reduce the power dissipation but also improve the performance in NoCs.
This paper has been withdrawn by the authors. In this paper, we propose a new low power coding te... more This paper has been withdrawn by the authors. In this paper, we propose a new low power coding technique by decreasing the number of switching activities on the buses which use transition signaling to transmit data. This approach dedicates the symbols with less ones to high probability data. MFLP unlike the most low power encoding does not rely on spatial redundancy. Due to this superiority, MFLP is unique in power decreasing in the Network on Chip (NoC). Not only does this algorithm reduce the power consumption, but also it can compress the data. It offers a tradeoff to designers to choose between compression and power; that is, the more power consumption decrease we need, the less compression we earn. This coding uses tree based infrastructure in order to decrease the number of ones to reduce the switching activities, and the power consumption consequently. The proposed algorithm constructs the tree with this contribution that code words with less ones are allocated to more freque...
... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@ia... more ... Mehdi Taassori Azad University Majlesi Branch Faculty of Electrical Engineering M.Taassori@iaumajlesi.ac.ir Mohsen Mossavi Isfahan University Faculty of Engineering Department of Electronic Engineering smmossavi@eng.ui.ac.ir ...
Uploads
Papers by Mehdi Taassori