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A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices.

T. Wen, J. Hung, H. Hsu, Y. Wu, F. Chang, C. Li, C. Chien, C. Su, W. Khwa, J. Wu, C. Lo, R. Liu, C. Hsieh, K. Tang, M. Ho, Y. Chih, T. Chang, and M. Chang. VLSI Technology and Circuits, page 1-2. IEEE, (2023)

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Chun-Fu Chang

Fu-Chang Chang

Fu Tsong Chang

Hung-Chun Chang

Dchien-chün Chang

Other publications of authors with the same name

Ontology-Based Personal Annotation Management on Semantic Peer Network to Facilitating Collaborations.C. Yeh, C. Chang, P. Lin, Y. Wang, and Y. Tsai. GPC, volume 6104 of Lecture Notes in Computer Science, page 441-450. Springer, (2010)A 22nm 4Mb STT-MRAM Data-Encrypted Near-Memory Computation Macro with a 192GB/s Read-and-Decryption Bandwidth and 25.1-55.1TOPS/W 8b MAC for AI Operations.Y. Chiu, C. Yang, S. Teng, H. Huang, F. Chang, Y. Wu, Y. Chien, F. Hsieh, C. Li, G. Lin and 11 other author(s). ISSCC, page 178-180. IEEE, (2022)Two-Level Chord-Ring for Ontology-based Distributed RDF Store.C. Yeh, C. Chang, and K. Lin. CISIS, page 283-290. IEEE Computer Society, (2010)Efficient token circulation strategies against misers in device-to-device relay using token-based incentive mechanisms.Y. Wang, and F. Chang. IET Commun., 16 (6): 710-724 (2022)A 40-nm, 2M-Cell, 8b-Precision, Hybrid SLC-MLC PCM Computing-in-Memory Macro with 20.5 - 65.0TOPS/W for Tiny-Al Edge Devices.W. Khwa, Y. Chiu, C. Jhang, S. Huang, C. Lee, T. Wen, F. Chang, S. Yu, T. Lee, and M. Chang. ISSCC, page 1-3. IEEE, (2022)A new art-based neural architecture for pattern classification and image enhancement without prior knowledge.F. Shih, J. Moh, and F. Chang. Pattern Recognit., 25 (5): 533-542 (1992)Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices.C. Jhang, C. Xue, J. Hung, F. Chang, and M. Chang. IEEE Trans. Circuits Syst. I Regul. Pap., 68 (5): 1773-1786 (2021)A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices.T. Wen, J. Hung, H. Hsu, Y. Wu, F. Chang, C. Li, C. Chien, C. Su, W. Khwa, J. Wu and 8 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)An 8-Mb DC-Current-Free Binary-to-8b Precision ReRAM Nonvolatile Computing-in-Memory Macro using Time-Space-Readout with 1286.4-21.6TOPS/W for Edge-AI Devices.J. Hung, Y. Huang, S. Huang, F. Chang, T. Wen, C. Su, W. Khwa, C. Lo, R. Liu, C. Hsieh and 4 other author(s). ISSCC, page 1-3. IEEE, (2022)Indexed block coordinate descent for large-scale linear classification with limited memory.I. Yen, C. Chang, T. Lin, S. Lin, and S. Lin. KDD, page 248-256. ACM, (2013)

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Disambiguation of "Chang, Fu-Chun"

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A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices.

Please choose a person to relate this publication to

Chun-Fu Chang

Fu-Chang Chang

Fu Tsong Chang

Hung-Chun Chang

Dchien-chün Chang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chang, Fu-Chun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices.

Please choose a person to relate this publication to

Chun-Fu Chang

Fu-Chang Chang

Fu Tsong Chang

Hung-Chun Chang

Dchien-chün Chang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
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A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices.