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EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.

T. Tambe, C. Hooper, L. Pentecost, E. Yang, M. Donato, V. Sanh, A. Rush, D. Brooks, and G. Wei. CoRR, (2020)

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Melvis Hooper

Mark Hooper

Kathleen R Hooper

John Derek Coleman

John Coleman Darnell

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SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium - August 22-24, 2021.T. Tambe, E. Yang, G. Ko, Y. Chai, C. Hooper, M. Donato, P. Whatmough, A. Rush, D. Brooks, and G. Wei. HCS, page 1-13. IEEE, (2021)SPEED: Speculative Pipelined Execution for Efficient Decoding.C. Hooper, S. Kim, H. Mohammadzadeh, H. Genc, K. Keutzer, A. Gholami, and Y. Shao. CoRR, (2023)Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation.T. Park, H. Huang, C. Hooper, N. Koluguri, K. Dhawan, A. Jukic, J. Balam, and B. Ginsburg. CoRR, (2023)A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management.T. Tambe, J. Zhang, C. Hooper, T. Jia, P. Whatmough, J. Zuckerman, M. dos Santos, E. Loscalzo, D. Giri, K. Shepard and 4 other author(s). ISSCC, page 342-343. IEEE, (2023)Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models.C. Hooper, T. Tambe, and G. Wei. CoRR, (2021)EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference.T. Tambe, C. Hooper, L. Pentecost, T. Jia, E. Yang, M. Donato, V. Sanh, P. Whatmough, A. Rush, D. Brooks and 1 other author(s). MICRO, page 830-844. ACM, (2021)9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET.T. Tambe, E. Yang, G. Ko, Y. Chai, C. Hooper, M. Donato, P. Whatmough, A. Rush, D. Brooks, and G. Wei. ISSCC, page 158-160. IEEE, (2021)Full Stack Optimization of Transformer Inference: a Survey.S. Kim, C. Hooper, T. Wattanawong, M. Kang, R. Yan, H. Genc, G. Dinh, Q. Huang, K. Keutzer, M. Mahoney and 2 other author(s). CoRR, (2023)EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.T. Tambe, C. Hooper, L. Pentecost, E. Yang, M. Donato, V. Sanh, A. Rush, D. Brooks, and G. Wei. CoRR, (2020)AI and Memory Wall.A. Gholami, Z. Yao, S. Kim, C. Hooper, M. Mahoney, and K. Keutzer. IEEE Micro, 44 (3): 33-39 (May 2024)

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Disambiguation of "Hooper, Coleman"

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EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.

Please choose a person to relate this publication to

Melvis Hooper

Mark Hooper

Kathleen R Hooper

John Derek Coleman

John Coleman Darnell

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hooper, Coleman"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.

Please choose a person to relate this publication to

Melvis Hooper

Mark Hooper

Kathleen R Hooper

John Derek Coleman

John Coleman Darnell

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.