Here we present a hardware–software co-design to address these challenges, by designing an echo state graph neural network based on random resistive memory arrays, which are built from low-cost, nanoscale and stackable resistors for efficient in-memory computing. This approach leverages the ...
Abstract This paper surveys domain-specific architectures (DSAs) built from two emerging memory technologies. Hybrid memory cube (HMC) and high bandwidth memory (HBM) can reduce data movement between memory and computation by placing computing logic inside memory dies. On the other hand, the emergin...
big data and cognitive computing Article TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model Milad Salem 1,† , Aminollah Khormali 1,†, Arash Keshavarzi Arshadi 2, Julia Webb 2 and Jiann-Shiun Yuan 1,* 1 Department of Electrical and Computer Engineering, ...