Application driven end to end traffic predictions for low power noc design zebros ieee projects

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ZEBROS PROJECTS Application-Driven End-to-End Traffic Predictions for Low Power NoC Design Abstract As chip multiprocessors keep increasing the number of cores on the chip, the network-on-chip (NoC) technology is becoming essential for interconnecting the cores. While NoCs result in noticeable performance boost over conventional bus systems, they consume a non-negligible fraction of the system power. One promising solution is to dynamically adjust the working frequencies/voltages of the switches as well as the links between switches in the NoC to match the traffic flows. The question is when to adjust and by how much. Most previous works take a passive approach by reacting to fluctuations in local traffic flows. Unfortunately, this approach may be too slow and too conservative in adjusting the working frequencies/voltages. Since applications often exhibit periodic behaviors, we propose a hardware mechanism to proactively adjust the frequencies/voltages of switches and/or links in NoC by predicting the application runtime traffic. The evaluations show that our design achieves 86% dynamic power savings of the links in the on-chip network, and the resulting overheads from mispredictions are tolerable. ZEBROS PROJECTS SOFTWARE BASED Networking

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Data Mining

Mat lab

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Network Security

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Image Processing

Bio Medical

Web Applications

Power Systems

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Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two module  Review Document Explanation Final Review

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Application driven end to end traffic predictions for low power noc design zebros ieee projects

Published on Nov 14, 2013Technology & Computing

zebrosprojects

Abstract As chip multiprocessors keep increasing the number of cores on the chip, the network-on-chip (NoC) technology is becoming essential for interconnecting the cores. While NoCs result in noticeable performance boost over conventional bus systems, they consume a non-negligible fraction of the system power. One promising solution is to dynamically adjust the working frequencies/voltages of the switches as well as the links between switches in the NoC to match the traffic flows. The question is when to adjust and by how much. Most previous works take a passive approach by reacting to fluctuations in local traffic flows. Unfortunately, this approach may be too slow and too conservative in adjusting the working frequencies/voltages. Since applications often exhibit periodic behaviors, we propose a hardware mechanism to proactively adjust the frequencies/voltages of switches and/or links in NoC by predicting the application runtime traffic.