Aug 2026· Journal of Signal Processing Systems· Vol 98· 0 citations· 49 references
Computer Science
TL;DR
The proposed mapping framework achieves reduced latency and improved area–latency trade-offs compared to prior MAGIC designs, and comparative evaluation shows competitive performance for adders and substantially lower latency with improved scalability for multiplier architectures compared with representative MAC-, MAJ-, and AIG-based IMC implementations.
This paper proposes a computing-in-memory (CiM) architecture based on a hybrid 2T-2C/4T-2C ferroelectric random-access memory (FRAM) array that provides ADC-free bitwise computing with binary inputs and outputs, reducing peripheral-circuit overhead and power consumption.
Chen He, Jianjun Li, Wei Li et al.· Electronics· 0 citations
This work proposes Double-Duty, a logic block architecture that decouples LUTs and adder chains by augmenting four extra inputs of the logic element to bypass LUTs and directly drive the adders.
Xilai Dai, Junius Pun, Anthony Fei et al.· ACM Transactions on Reconfig...· 0 citations
The results establish the feasibility of the proposed MGFET-based programmable logic architecture for compact, high-speed, and low-power arithmetic circuits for future programmable nanoscale digital systems.
In this paper, an energy-efficient Vedic multiplier design is presented through runtime-adaptive hierarchy. In the proposed architecture, the Urdhva-Tiryakbhyam Vedic algorithm has been implemented recursively from 2x2 to 32$\times$32 bit multiplication in a modular hierarchical fashion. In addition, the multiplier has...
G. Sai, Golla Praneeth, Yatham Poojitha et al.· International Conference on...· 0 citations
A comprehensive hardware-aware design framework for systematically mapping algorithmic workloads onto IMC architectures, using the discrete Fourier transform (DFT) as a case study and a novel mapping scheme that reduces energy consumption per computation by 53% compared with conventional mapping techniques is introduce...
Sofia Tatidis, P. Nielsen, Liang Liu et al.· 0 citations
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