Calibration-Free Edge-Computing IMC Macro With Direct Current-to-Digital Conversion
Andrea Fasolino, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Gian Domenico Licciardo · IEEE Transactions on Circuits & Systems II Express Briefs · 2025
In-memory computing (IMC) has emerged as a promising solution to the "memory wall" problem of traditional Von Neumann architectures by integrating computation directly within the memory. This work presents a novel current-mode IMC macro that leverages a nanoampere-range temperature-independent reference current and direct current-to-digital conversion. The proposed design mitigates power inefficiencies and thermal instability of previous architectures without the need for calibration. Implemented in TSMC LP 65 nm CMOS technology, the design achieves an energy efficiency of 310.7 TOPS/W and an area efficiency of 18.93 TOPS/mm2. The reference current generator ensures a temperature coefficient of just 363 ppm/∘C over a temperature -10; 115∘C. Using a VGG-6 model on the CIFAR-10 dataset with 87.93% accuracy, the drop between the software baseline model and IMC hardware (1bA/1bW/5bO) at TT@27∘C/FF@115∘C/SS@-10∘C is 0.17/0.32/0.51%.