Massimo Giordano

Paper: CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference

Authors: M. Giordano^1,3, K. Prabhu^1,3, K. Koul^1,3, R. M. Radway^1,3, A. Gural^1,3, R. Doshi^1,3, Z. F. Khan¹, J. W. Kustin¹, T. Liu¹, G. B. Lopes¹, V. Turbiner¹, W.-S. Khwa², Y.-D. Chih², M.-F. Chang², G. Lallement^1,3, B. Murmann¹, S. Mitra¹ and P. Raina¹

Affiliation:¹Stanford University, CA, USA; ²TSMC, Hsinchu, Taiwan; ³Equal Contribution