Cambricon An Instruction Set Architecture for Neural Networks 一种神经网络指令集结构.pdf

2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture Cambricon: An Instruction Set Architecture for Neural Networks ∗§ ∗§ ∗§ ∗§ ∗§ † ∗‡ ∗‡§ Shaoli Liu , Zidong Du , Jinhua Tao , Dong Han , Tao Luo , Yuan Xie , Yunji Chen and Tianshi Chen ∗State Key Laboratory of Computer Architecture, ICT, CAS, Beijing, China Email: {liushaoli, duzidong, taojinhua, handong2014, luotao, cyj, chentianshi}@ †Department of Electrical and Computer Engineering, UCSB, Santa Barbara, CA, USA Email: yuanxie@ ‡ CAS Center for Excellence in Brain Science and Intelligence Technology §Cambricon Ltd. Abstract—Neural Networks (NN) are a family of models for a performance on specific tasks such as ImageNet recognition broad range of emerging machine learning and pattern recon- [23] and Atari 2600 vide