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2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.

C. Yu, H. Kim, S. Shin, K. Bong, H. Kim, Y. Boo, J. Bae, M. Kwon, K. Charfi, J. Kim, H. Kim, M. Shim, C. Ha, W. Shin, J. Yoon, M. Chi, B. Lee, S. Choi, D. Kim, J. Woo, S. Yoon, H. Jo, H. Kim, H. Heo, Y. Jin, J. Yu, J. Lee, H. Kim, M. Kang, S. Choi, S. Kim, M. Choi, J. Oh, Y. Kim, H. Kim, S. Je, J. Ham, J. Yoon, J. Lee, S. Park, Y. Park, J. Lee, B. Hong, J. Ryu, H. Ko, K. Chung, J. Choi, S. Jung, Y. Arthanto, J. Kim, H. Cho, H. Jeong, S. Choi, S. Han, J. Park, K. Lee, S. Bae, J. Bang, K. Lee, Y. Jang, J. Park, S. Park, J. Park, H. Shin, S. Park, and J. Oh. ISSCC, page 42-44. IEEE, (2024)

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Seongjae Boo

Boo-Ha Lee

Thomas Boo Smith

Boo-kyom Kim

Won Boo Jeong

Other publications of authors with the same name

Quantized Neural Networks: Characterization and Holistic Optimization.Y. Boo, S. Shin, and W. Sung. SiPS, page 1-6. IEEE, (2020)Fixed-point optimization of deep neural networks with adaptive step size retraining.S. Shin, Y. Boo, and W. Sung. ICASSP, page 1203-1207. IEEE, (2017)Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks.Y. Boo, S. Shin, J. Choi, and W. Sung. AAAI, page 6794-6802. AAAI Press, (2021)LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators.H. Kim, S. Yoo, J. Bae, K. Bong, Y. Boo, K. Charfi, H. Kim, H. Kim, J. Kim, B. Lee and 7 other author(s). HCS, page 1-10. IEEE, (2022)Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices.J. Park, Y. Boo, I. Choi, S. Shin, and W. Sung. NeurIPS, page 10642-10653. (2018)Fixed-Point Optimization of Transformer Neural Network.Y. Boo, and W. Sung. ICASSP, page 1753-1757. IEEE, (2020)Knowledge Distillation for Optimization of Quantized Deep Neural Networks.S. Shin, Y. Boo, and W. Sung. SiPS, page 1-6. IEEE, (2020)Hierarchical Recurrent Neural Networks for Acoustic Modeling.J. Park, I. Choi, Y. Boo, and W. Sung. INTERSPEECH, page 3728-3732. ISCA, (2018)SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks.S. Shin, Y. Boo, and W. Sung. CoRR, (2020)HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface.S. Shin, J. Park, Y. Boo, and W. Sung. AAAI, page 5784-5791. AAAI Press, (2020)

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Disambiguation of "Boo, Yoonho"

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2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.

Please choose a person to relate this publication to

Seongjae Boo

Boo-Ha Lee

Thomas Boo Smith

Boo-kyom Kim

Won Boo Jeong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Boo, Yoonho"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.

Please choose a person to relate this publication to

Seongjae Boo

Boo-Ha Lee

Thomas Boo Smith

Boo-kyom Kim

Won Boo Jeong

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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Chicago
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2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.