STRIDe cross-coupled STT-MRAM improves sense margin up to 3.86x and read disturb margin up to 27.6% for XNOR and AND IMC, achieving near-software DNN inference accuracy on CIFAR10 despite process variations.
Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element
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STRIDe: Cross-Coupled STT-MRAM Enabling Robust In-Memory-Computing for Deep Neural Network Accelerators
STRIDe cross-coupled STT-MRAM improves sense margin up to 3.86x and read disturb margin up to 27.6% for XNOR and AND IMC, achieving near-software DNN inference accuracy on CIFAR10 despite process variations.