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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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Sungho Jo

Dong-Shin Shin

Jeonghun Shin

Kirche als Weltforum: zum Dialogverständnis in kirchlichen Dokumenten seit dem Zweiten Vatikanischen KonzilJ. Shin. Uni München, (2009)

Hwa-Ja Shin

Jung-Hyu Shin

Other publications of authors with the same name

K-Base: Platform to Build the Knowledge Base for an Intelligent Service.S. Shin, J. Um, S. Choi, H. Jung, S. Xu, and L. Zhu. MUSIC, volume 274 of Lecture Notes in Electrical Engineering, page 273-277. Springer, (2013)Fixed-point performance analysis of recurrent neural networks.S. Shin, K. Hwang, and W. Sung. ICASSP, page 976-980. IEEE, (2016)Workload-aware Automatic Parallelization for Multi-GPU DNN Training.S. Shin, Y. Jo, J. Choi, S. Venkataramani, V. Srinivasan, and W. Sung. ICASSP, page 1453-1457. IEEE, (2019)FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks.M. Lee, K. Hwang, J. Park, S. Choi, S. Shin, and W. Sung. SiPS, page 230-235. IEEE, (2016)Memorization Capacity of Deep Neural Networks under Parameter Quantization.Y. Boo, S. Shin, and W. Sung. ICASSP, page 1383-1387. IEEE, (2019)Implementation of Research Data Platform: in the Perspective of Data Transfer.S. Shin, J. Kim, M. Lee, Y. Shin, and M. Kim. ICUFN, page 735-737. IEEE, (2019)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)On the Convergence of the Dynamic Inner PCA Algorithm.S. Shin, A. Smith, S. Qin, and V. Zavala. 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)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 and 56 other author(s). ISSCC, page 42-44. IEEE, (2024)

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Disambiguation of "Shin, Sungho"

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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

Sungho Jo

Dong-Shin Shin

Jeonghun Shin

Hwa-Ja Shin

Jung-Hyu Shin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shin, Sungho"

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

Sungho Jo

Dong-Shin Shin

Jeonghun Shin

Hwa-Ja Shin

Jung-Hyu Shin

Other publications of authors with the same name

Disambiguation

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