15 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.AR2021★ 4 cited
CrossStack: A 3-D Reconfigurable RRAM Crossbar Inference Engine
Jason K. Eshraghian, Kyoungrok Cho, Sung Mo Kang
Deep neural network inference accelerators are rapidly growing in importance as we turn to massively parallelized processing beyond GPUs and ASICs. The dominant operation in feedfo…
eess.SP2019★ 15 cited
Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars
Jaeheum Lee, Jason K. Eshraghian, Kyoungrok Cho +1
Neural processor development is reducing our reliance on remote server access to process deep learning operations in an increasingly edge-driven world. By employing in-memory proce…