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• W2921026389 abstract "Leveraging the inherent error resilience of a large number of application domains, approximate computing is established as an efficient design alternative to improve their energy profile. In this brief, we design energy optimal cross-layer approximate arithmetic circuits by enabling the efficient application of voltage overscaling (VOS). Departing from the conventional approaches followed today, we introduce the voltage-driven functional approximation and present the VoltAge-Driven nEtlist pRuning (VADER) framework. VADER is an automated synthesis framework that can be seamlessly integrated in any hardware design flow and implements a voltage-driven gate-level netlist pruning. Experimental evaluation shows that VADER reduces the error of the VOS application by 52% on average and delivers on average designs with 34% higher energy savings compared to state-of-the-art approximate adders and multipliers." @default.
• W2921026389 created "2019-03-22" @default.
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• W2921026389 date "2019-06-01" @default.
• W2921026389 modified "2023-10-12" @default.
• W2921026389 title "VADER: Voltage-Driven Netlist Pruning for Cross-Layer Approximate Arithmetic Circuits" @default.
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• W2921026389 doi "https://doi.org/10.1109/tvlsi.2019.2900160" @default.
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