Computer ScienceEngineering
Yu-hsin Chen, T. Krishna, J. Emer, V. Sze
tlooto Summary
Eyeriss is an accelerator for state-of-the-art deep convolutional neural networks (CNNs) that optimizes for the energy efficiency of the entire system, including the accelerator chip and off-chip DRAM, for various CNN shapes by reconfiguring the architecture.
Abstract
Abstract is not available.
Citation format
CHEN, Yu-hsin, et al. Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2016, 52: 127–138.