SELF-ADAPTIVE NOC POWER MANAGEMENT WITH DUAL-LEVEL AGENTS - Architecture and Implementation

Syed M. A. H. Jafri, Liang Guang, Axel Jantsch, Kolin Paul, Ahmed Hemani, Hannu Tenhunen

2012

Abstract

Architecture and Implementation of adaptive NoC to improve performance and power consumption is presented. On platforms hosting multiple applications, hardware variations and unpredictable workloads make static design-time assignments highly sub-optimal e.g. in terms of power and performance. As a solution to this problem, adaptive NoCs are designed, which dynamically adapt towards optimal implementation. This paper addresses the architectural design of adaptive NoC, which is an essential step towards design automation. The architecture involves two levels of agents: a system level agent implemented in software on a dedicated general purpose processor and the local agents implemented as microcontrollers of each network node. The system agent issues specific instructions to perform monitoring and reconfiguration operations, while the local agents operate according to the commands from the system agent. To demonstrate the system architecture, best-effort power management with distributed voltage and frequency scaling is implemented, while meeting run-time execution requirements. Four benchmarks (matrix multiplication, FFT, wavefront, and hiperLAN transmitter) are experimented on a cycle-accurate RTL-level shared-memory NoC simulator. Power analysis with 65nm multi-Vdd library shows a significant reduction in energy consumption (from 21 % to 36 %). The synthesis also shows minimal area overhead (4 %) of the local agent compared to the original NoC switch.

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Paper Citation


in Harvard Style

M. A. H. Jafri S., Guang L., Jantsch A., Paul K., Hemani A. and Tenhunen H. (2012). SELF-ADAPTIVE NOC POWER MANAGEMENT WITH DUAL-LEVEL AGENTS - Architecture and Implementation . In Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: SANES, (PECCS 2012) ISBN 978-989-8565-00-6, pages 450-458. DOI: 10.5220/0003942204500458


in Bibtex Style

@conference{sanes12,
author={Syed M. A. H. Jafri and Liang Guang and Axel Jantsch and Kolin Paul and Ahmed Hemani and Hannu Tenhunen},
title={SELF-ADAPTIVE NOC POWER MANAGEMENT WITH DUAL-LEVEL AGENTS - Architecture and Implementation},
booktitle={Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: SANES, (PECCS 2012)},
year={2012},
pages={450-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003942204500458},
isbn={978-989-8565-00-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems - Volume 1: SANES, (PECCS 2012)
TI - SELF-ADAPTIVE NOC POWER MANAGEMENT WITH DUAL-LEVEL AGENTS - Architecture and Implementation
SN - 978-989-8565-00-6
AU - M. A. H. Jafri S.
AU - Guang L.
AU - Jantsch A.
AU - Paul K.
AU - Hemani A.
AU - Tenhunen H.
PY - 2012
SP - 450
EP - 458
DO - 10.5220/0003942204500458