Table of Contents
VLSI Design
Volume 12, Issue 2, Pages 245-273

An Instruction-Level Power Analysis Model with Data Dependency

1Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, Università di Catania, V.le. A. Doria, Catania 6–95125, Italy
2STMicroelectronics, Stradale Primosole, Catania 95100, Italy

Received 20 June 2000; Revised 3 August 2000

Copyright © 2001 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • G. Ascia, V. Catania, and M. Palesi, “A GA-Based Design Space Exploration Framework for Parameterized System-On-A-Chip Platforms,” IEEE Transactions on Evolutionary Computation, vol. 8, no. 4, pp. 329–346, 2004. View at Publisher · View at Google Scholar
  • Ys Fei, S Ravi, Nk Jha, and A Raghunathan, “A hybrid energy-estimation technique for extensible processors,” Ieee Transactions On Computer-Aided Design Of Integrated Circuits And Syste, vol. 23, no. 5, pp. 652–664, 2004. View at Publisher · View at Google Scholar
  • James Pallister, Steve Kerrison, Jeremy Morse, and Kerstin Eder, “Data dependent energy modeling for worst case energy consumption analysis,” Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems, SCOPES 2017, pp. 51–59, 2017. View at Publisher · View at Google Scholar
  • Jeremy Morse, Steve Kerrison, and Kerstin Eder, “On the Limitations of Analyzing Worst-Case Dynamic Energy of Processing,” ACM Transactions on Embedded Computing Systems, vol. 17, no. 3, pp. 1–22, 2018. View at Publisher · View at Google Scholar