1 a NoC Traffic Suite Based on Real Applications

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8/2/2019 1 a NoC Traffic Suite Based on Real Applications

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A NoC Traffic Suite Based on RealApplications

Supervisor:

Dr. Victor Goulartgoulart@ejust.kyushu-u.ac.jp

Prepared by:

Eng. Hossam El-Sayed A. Fadeel

hossam.fadeel@ejust.edu.eg
mailto:goulart@ejust.kyushu-u.ac.jpmailto:hossam.fadeel@ejust.edu.egmailto:hossam.fadeel@ejust.edu.egmailto:goulart@ejust.kyushu-u.ac.jp


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Motivation

MPSoCs moving toward networks-on-chip (NoCs).
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Introduction

Network-on-Chip (NoC) traffic patterns Essential tools for NoC performance assessments and architecture

explorations.

NoC traffic patterns has influence on NoC studies.
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The problem

Random traffic patterns for NoC studies. Many NoC simulation environments

Realistic traffic patterns are based on the behaviors o

real applications.

A NoC Traffic Suite Based on Real Applications

Configuring parameters properly for random traffic requires a comprehen

knowledge of the corresponding realistic traffic patterns.

Realistic traffic patterns can provide more accurate performance and pow

consumption results and more detailed information to improve NoCarchitectures
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What is NoC Traffic Suite?

It is a realistic traffic benchmark suite, called MCSL.

Covers popular NoC architectures in various scales.

It can be easily incorporated into existing NoC simulators and

substantially improve NoC simulation accuracy.
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NoC Traffic Suite Methodology

Uses formal computational models to capture bothcommunication and computation requirements of application

Optimizes application mapping and scheduling to maximize

overall system performance and utilization before extracting

realistic traffic patterns through cycle-accurate simulations.

Experiment results show that MCSL benchmark suite can be used to study Ncharacteristics more accurately than traditional random traffic patterns.
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Traffic Modeling Methodology (1)
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A. Application model
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B. Architecture model Captures the hardware resources in an MPSoC and includes process

blocks (PBs) and NoC.

target regular NoC topologies, such as mesh, torus and fattree.
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PERFORMANCE EVALUATION AND ANALYSIS
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PERFORMANCE EVALUATION AND ANALYSIS

Compared to the uniform traffic, the realistic traffic patternsshow on average 87.3% difference on the three NoCs.

A main reason for the huge difference is that the real traffic of an

application often has local concentrations at a certain time and the

concentrations move along time in the network, while uniform traff

patterns generate equally distributed traffic across the network.

In comparison, the traffic patterns generated from real applications

the MCSL benchmark suite describe the real situations more accurat

than the uniform traffic patterns, and thus will be more effective for

evaluating NoC performances to obtain realistic results and

conclusions.
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Conclusion

It is based on real applications, It can be easily incorporated into existing NoC

simulators to substantially improve NoC simulation

accuracy.
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Future Works and Comments

Support more architectural choices like topology andallow different mapping and scheduling strategies.

Comments:
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1 a NoC Traffic Suite Based on Real Applications

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