The workflow of the automated extraction tool for simplified EKV parameters

IEEE Xplore
03/06/2024 09:44:49

The increasing demand for high performance and energy efficiency in Artificial Neural Networks (ANNs) accelerators has driven a wide range of application-specific integrated circuits (ASICs). Besides, the rapid deployment of low-power IoT devices requires highly efficient computing, which as a result urges the need to explore low-power hardware implementations in different domains. This paper proposes a spatially unrolled time-domain accelerator that uses an ultra-low-power digital-to-time converter (DTC) while occupying an active area of 0.201 mm2. The proposed DTC is implemented using a Laddered, Inverter (LI) circuit, which consumes 3  ×  less power than the conventional inverter-based DTC and provides reliable performance across different process corners, supply voltages, and temperature variations. Post-synthesis results in 65nm CMOS show that the proposed core achieves a superior energy efficiency of 116 TOPS/W, a throughput of 4 GOPS, and an area efficiency of 20 GOPS/mm2. The proposed core improves energy efficiency by 2.4 - 47  ×  compared to prior time-domain accelerators.

Source: IEEE Xplore

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IEEE Xplore

IEEE​ (pronounced "I-triple-E") stands for the ​Institute of Electrical and Electronics Engineers, a global professional organization dedicated to advancing technological innovation for the benefit of humanity. Founded in 1963 through the merger of the American Institute of Electrical Engineers (AIEE) and the Institute of Radio Engineers (IRE), IEEE has grown into the world’s largest technical professional society, with over ​400,000 members​ across ​160+ countries.

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