10 citations · 37 across the 5 of their papers we have counts for
3 papers · 1 filter
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Chuteng Zhou, Fernando Garcia Redondo, Julian Büchel +7
Always-on TinyML perception tasks in IoT applications require very high energy efficiency. Analog compute-in-memory (CiM) using non-volatile memory (NVM) promises high efficiency a…
A System-Level Voltage/Frequency Scaling Characterization Framework for Multicore CPUs
George Papadimitriou, Manolis Kaliorakis, Athanasios Chatzidimitriou +4
Supply voltage scaling is one of the most effective techniques to reduce the power consumption of microprocessors. However, technology limitations such as aging and process variabi…
Stack up your chips: Betting on 3D integration to augment Moore's Law scaling
Saurabh Sinha, Xiaoqing Xu, Mudit Bhargava +3
3D integration, i.e., stacking of integrated circuit layers using parallel or sequential processing is gaining rapid industry adoption with the slowdown of Moore's law scaling. 3D…