### Abstract

This paper presents an algorithm for power estimation in digital circuits using a hierarchical approach. The salient feature of this approach is that it can be used to estimate the power of large digital circuits in a reasonably short time. Moreover, it takes into account both the spatial correlations introduced in the circuit due to reconvergent fanout, and the delays associated with the various computation units. Here, the circuit is partitioned into sub-circuits which are modeled using state transition diagrams (stds), and the energy, and therefore power, associated with the circuit is then computed from its constituent stds by treating them as irreducible Markov chains. Experimental results show that the estimated power is in close agreement with the actual power obtained from exhaustive SPICE simulations. However, the computation time required by the proposed approach is orders of magnitude less than that required by SPICE.

Original language | English (US) |
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Pages (from-to) | 3338-3341 |

Number of pages | 4 |

Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |

Volume | 6 |

State | Published - Jan 1 1996 |

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**Hierarchical approach to transistor-level power estimation of arithmetic units.** / Satyanarayana, Janardhan H.; Parhi, Keshab K.

Research output: Contribution to journal › Article

*ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings*, vol. 6, pp. 3338-3341.

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TY - JOUR

T1 - Hierarchical approach to transistor-level power estimation of arithmetic units

AU - Satyanarayana, Janardhan H.

AU - Parhi, Keshab K

PY - 1996/1/1

Y1 - 1996/1/1

N2 - This paper presents an algorithm for power estimation in digital circuits using a hierarchical approach. The salient feature of this approach is that it can be used to estimate the power of large digital circuits in a reasonably short time. Moreover, it takes into account both the spatial correlations introduced in the circuit due to reconvergent fanout, and the delays associated with the various computation units. Here, the circuit is partitioned into sub-circuits which are modeled using state transition diagrams (stds), and the energy, and therefore power, associated with the circuit is then computed from its constituent stds by treating them as irreducible Markov chains. Experimental results show that the estimated power is in close agreement with the actual power obtained from exhaustive SPICE simulations. However, the computation time required by the proposed approach is orders of magnitude less than that required by SPICE.

AB - This paper presents an algorithm for power estimation in digital circuits using a hierarchical approach. The salient feature of this approach is that it can be used to estimate the power of large digital circuits in a reasonably short time. Moreover, it takes into account both the spatial correlations introduced in the circuit due to reconvergent fanout, and the delays associated with the various computation units. Here, the circuit is partitioned into sub-circuits which are modeled using state transition diagrams (stds), and the energy, and therefore power, associated with the circuit is then computed from its constituent stds by treating them as irreducible Markov chains. Experimental results show that the estimated power is in close agreement with the actual power obtained from exhaustive SPICE simulations. However, the computation time required by the proposed approach is orders of magnitude less than that required by SPICE.

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UR - http://www.scopus.com/inward/citedby.url?scp=0029725505&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0029725505

VL - 6

SP - 3338

EP - 3341

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SN - 0736-7791

ER -