Tiling Based Concurrent Supervision of Power And Fault Tolerance In Heterogeneous Multicore Embedded Systems

International Journal of VLSI & Signal Processing

© 2021 by SSRG - IJVSP Journal

Volume 8 Issue 1

Year of Publication : 2021

Authors : S.Murugalakshmi, Dr. P.Ranjith Kumar

10.14445/23942584/IJVSP-V8I1P103

How to Cite?

S.Murugalakshmi, Dr. P.Ranjith Kumar, "Tiling Based Concurrent Supervision of Power And Fault Tolerance In Heterogeneous Multicore Embedded Systems," SSRG International Journal of VLSI & Signal Processing, vol. 8,  no. 1, pp. 10-13, 2021. Crossref, https://doi.org/10.14445/23942584/IJVSP-V8I1P103

Abstract:

Increasing power densities had led to the dark silicon era, for which miscellaneous multicores with various power and performance characteristics are promising architectures. In this system, peak-power-aware reliability management (PPARM) is presented with a power density for reliability constraints. To balance the reliability issue, we also employ a tiling-based prohibitions method to further diminish the consumption of power. This system has resulted in an average of less peak and low area consumption.

Keywords:

PPARM, Tiling, reliability

References:

[1] Ejlali, A., Al-Hashimi, B. M., & Eles, P., Low-energy standby-sparing for hard real-time systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 31(3)(2012) 329-342.
[2] Ansari, M., Safari, S., Yeganeh-Khaksar, A., Salehi, M., & Ejlali, A., Peak power management to meet thermal design power in fault-tolerant embedded systems. IEEE Transactions on Parallel and Distributed Systems, 30(1)(2018) 161-173.
[3] Salehi, M., Ejlali, A., & Al-Hashimi, B. M., Two-phase low-energy N-modular redundancy for hard real-time multi-core systems. IEEE Transactions on Parallel and Distributed Systems, 27(5)(2015) 1497-1510.
[4] Pagani, S., Chen, J. J., & Henkel, J., Energy and peak power efficiency analysis for the single voltage approximation (SVA) scheme. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 34(9)(2015) 1415-1428.
[5] Munawar, W., Khdr, H., Pagani, S., Shafique, M., Chen, J. J., & Henkel, J., Peak power management for real-time scheduling tasks on heterogeneous many-core systems. In 2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS) (2014) 200-209. IEEE.