3 papers
cs.AR2026
Performance Analysis of Digital Processing-in-Memory through a Case Study on Convolutional-Neural-Network Acceleration
Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky
Processing-in-Memory (PIM) architectures are evolving to minimize data movement by leveraging the same physical devices for both memory and logic functionalities. While analog PIM…
cs.NE2025
Preprocessing Methods for Memristive Reservoir Computing for Image Recognition
Rishona Daniels, Duna Wattad, Ronny Ronen +2
Reservoir computing (RC) has attracted attention as an efficient recurrent neural network architecture due to its simplified training, requiring only its last perceptron readout la…
cs.AR2024
Accelerating DNA Read Mapping with Digital Processing-in-Memory
Rotem Ben-Hur, Orian Leitersdorf, Ronny Ronen +5
Genome analysis has revolutionized fields such as personalized medicine and forensics. Modern sequencing machines generate vast amounts of fragmented strings of genome data called…