Title | ||
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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 | ||
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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 |
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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 Tambe | 1 | 18 | 3.43 |
En-Yu Yang | 2 | 10 | 2.31 |
Glenn G. Ko | 3 | 10 | 3.30 |
Yuji Chai | 4 | 5 | 2.16 |
Coleman Hooper | 5 | 7 | 1.17 |
Marco Donato | 6 | 31 | 5.83 |
Paul N. Whatmough | 7 | 147 | 20.59 |
Alexander M. Rush | 8 | 1499 | 67.53 |
David Brooks | 9 | 5518 | 422.08 |
Gu-Yeon Wei | 10 | 3 | 0.80 |