3 papers
cs.ET2025
First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
Saitao Zhang, Yubiao Luo, Shiqing Wang +5
Second-order optimization methods, which leverage curvature information, offer faster and more stable convergence than first-order methods such as stochastic gradient descent (SGD)…
eess.SP2025
RRAM-Based Analog Matrix Computing for Massive MIMO Signal Processing: A Review
Pushen Zuo, Zhong Sun
Resistive random-access memory (RRAM) provides an excellent platform for analog matrix computing (AMC), enabling both matrix-vector multiplication (MVM) and the solution of matrix…
cs.AR2025
GRAMC: General-purpose and reconfigurable analog matrix computing architecture
Lunshuai Pan, Shiqing Wang, Pushen Zuo +1
In-memory analog matrix computing (AMC) with resistive random-access memory (RRAM) represents a highly promising solution that solves matrix problems in one step. However, the exis…