RelaxCIM: A Power- and Area-Efficient RxO-based Readout Cell for ADC-less CIM Accelerators
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2025 20th International Conference on PhD Research in Microelectronics and Electronics, PRIME 2025
Abstract
Compute-In-Memory (CIM) architectures are becoming standard solutions for accelerating AI workloads. Yet, the performance of analog CIM cores is generally constrained by the quantization resolution and energy consumption of the readout stage, typically dominated by Analog-to-Digital Converters (ADCs). To address this issue, we present RelaxCIM, a compact, low-power readout approach that replaces traditional resource-intensive ADCs with a Relaxation Oscillator (RxO) and a digital counter for current-based CIM accelerators. Implemented in 65 nm CMOS, each RxO-based cell occupies 0.0015 mm2, consumes an average power of 0.21 mW, and achieves a resolution of 100 nA per Least-Significant Bit (LSB) at a 100 MHz counting frequency. This fine resolution is particularly beneficial for large neural networks mapped onto small CIM arrays employing time-multiplexed Vector-Matrix Multiplication (VMM) and partialsum operations, effectively reducing quantization errors and finite-precision limitations.Description
Publisher Copyright: © 2025 IEEE.
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Singh, G, Numan, O, Chouhan, S S, Mohey, A & Halonen, K 2025, RelaxCIM: A Power- and Area-Efficient RxO-based Readout Cell for ADC-less CIM Accelerators. in 2025 20th International Conference on PhD Research in Microelectronics and Electronics, PRIME 2025. IEEE, Conference on Ph.D. Research in Microelectronics and Electronics, Taormina, Italy, 21/09/2025. https://doi.org/10.1109/PRIME66228.2025.11203462