System-Level Leakage Power Estimation Model for ASIC Designs

Abhishek Narayan Tripathi, Arvind Rajawat

System-Level Leakage Power Estimation Model for ASIC Designs

Číslo: 3/2018
Periodikum: Advances in Electrical and Electronic Engineering
ISBN: 1804-3119
DOI: 10.15598/aeee.v16i3.2947

Klíčová slova: Artificial neural network (ANN); ASIC; LLVM IR (Intermediate representation); power estimation; system-level, Umělá neuronová síť (ANN); ASIC; LLVM IR (meziproduktová reprezentace); odhad výkonu; na úrovni systému

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Anotace: With advances in CMOS- technology and sub-micron process, leakage power dissipation has become a critical design metric. To incorporate more functions, designs are getting complex, thereby increases leakage power dissipation. Low power design objective requires early exploration and estimation. In this paper, we present the power estimation models for ASIC (Application Specific Integrated Circuit) based designs at the C-level of abstraction. The method includes analysis and extraction of the application specific information from the LLVM (Low-Level Virtual Machine) bit-code; which further applies to train the neural network. The trained model is applied in the estimation of the leakage power. Estimation of design power using our models is compared to the implemented measurement, which demonstrates its accuracy. In addition, the proposed methodology is significantly quicker and abolishes the need of synthesis based exploration.