Title
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33 rd Hot Chips Symposium – August 22-24, 2021
Abstract
In this work, we present SM6, an SoC architecture for real-time denoised speech and NLP pipelines, featuring (1) MSSE: an unsupervised probabilistic sound source separation accelerator, (2) FlexNLP: a programmable inference accelerator for attention-based seq2seq DNNs using adaptive floating-point datatypes for wide dynamic range computations, (3) a dual-core Arm Cortex A53 CPU cluster, which prov...
Year
DOI
Venue
2021
10.1109/HCS52781.2021.9567180
2021 IEEE Hot Chips 33 Symposium (HCS)
Keywords
DocType
ISBN
Source separation,Computational modeling,Operating systems,Pipelines,Brain modeling,Probabilistic logic,Real-time systems
Conference
978-1-6654-1397-8
Citations 
PageRank 
References 
0
0.34
0
Authors
10
Name
Order
Citations
PageRank
Thierry Tambe1183.43
En-Yu Yang2102.31
Glenn G. Ko3103.30
Yuji Chai452.16
Coleman Hooper571.17
Marco Donato6315.83
Paul N. Whatmough714720.59
Alexander M. Rush8149967.53
David Brooks95518422.08
Gu-Yeon Wei1030.80