AI accelerators - emerging memory

• 2019 FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads

• 2018 iCELIA: A Full-Stack Framework for STT-MRAM-Based Deep Learning Acceleration

• 2019 digital-based memory RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

• year? Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks Yu-Hsin Chen,Joel Emer and Vivienne Sze

extracts representative operands by clustering method

2016 Accelerating Machine Learning with Non-Volatile Memory: exploring device and circuit tradeoffs

• ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars

2016 video ISAAC: An Analog Convolutional Neural Network Accelerator (Part II)