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A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.

B. Zimmer, R. Venkatesan, Y. Shao, J. Clemons, M. Fojtik, N. Jiang, B. Keller, A. Klinefelter, N. Pinckney, P. Raina, S. Tell, Y. Zhang, W. Dally, J. Emer, C. Gray, S. Keckler, and B. Khailany. IEEE J. Solid State Circuits, 55 (4): 920-932 (2020)

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Alicia Kühl

Alicia Avellana

Alicia Díaz

Alicia Melis

Alicia Poplawski

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SE2: Going Remote: Challenges and Opportunities to Remote Learning, Work, and Collaboration.A. Klinefelter, H. Liu, L. Benini, Y. Thonnart, K. Bowman, K. Wilcox, D. Bol, A. Loke, and O. Shacham. ISSCC, page 539-540. IEEE, (2021)21.3 A 6.45μW self-powered IoT SoC with integrated energy-harvesting power management and ULP asymmetric radios.A. Klinefelter, N. Roberts, Y. Shakhsheer, P. González, A. Shrivastava, A. Roy, K. Craig, M. Faisal, J. Boley, S. Oh and 4 other author(s). ISSCC, page 1-3. IEEE, (2015)A 0.11 PJ/OP, 0.32-128 Tops, Scalable Multi-Chip-Module-Based Deep Neural Network Accelerator Designed with A High-Productivity vlsi Methodology.R. Venkatesan, Y. Shao, B. Zimmer, J. Clemons, M. Fojtik, N. Jiang, B. Keller, A. Klinefelter, N. Pinckney, P. Raina and 7 other author(s). Hot Chips Symposium, page 1-24. IEEE, (2019)A 6.45 μW Self-Powered SoC With Integrated Energy-Harvesting Power Management and ULP Asymmetric Radios for Portable Biomedical Systems.A. Roy, A. Klinefelter, F. Yahya, X. Chen, L. Gonzalez-Guerrero, C. Lukas, D. Kamakshi, J. Boley, K. Craig, M. Faisal and 7 other author(s). IEEE Trans. Biomed. Circuits Syst., 9 (6): 862-874 (2015)Error-energy analysis of hardware logarithmic approximation methods for low power applications.A. Klinefelter, J. Ryan, J. Tschanz, and B. Calhoun. ISCAS, page 2361-2364. IEEE, (2015)A batteryless 19μW MICS/ISM-band energy harvesting body area sensor node SoC.F. Zhang, Y. Zhang, J. Silver, Y. Shakhsheer, M. Nagaraju, A. Klinefelter, J. Pandey, J. Boley, E. Carlson, A. Shrivastava and 2 other author(s). ISSCC, page 298-300. IEEE, (2012)SE4: ICs in PandemICs.N. Reiskarimian, Z. Deniz, U. Guler, K. Wilcox, A. Wang, J. Gu, Y. Jia, A. Klinefelter, R. Muller, F. Sheikh and 6 other author(s). ISSCC, page 543-545. IEEE, (2021)Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture.Y. Shao, J. Clemons, R. Venkatesan, B. Zimmer, M. Fojtik, N. Jiang, B. Keller, A. Klinefelter, N. Pinckney, P. Raina and 7 other author(s). MICRO, page 14-27. ACM, (2019)A Fine-Grained GALS SoC with Pausible Adaptive Clocking in 16 nm FinFET.M. Fojtik, B. Keller, A. Klinefelter, N. Pinckney, S. Tell, B. Zimmer, T. Raja, K. Zhou, W. Dally, and B. Khailany. ASYNC, page 27-35. IEEE, (2019)F4: Electronics for a Quantum World.E. Charbon, A. Klinefelter, M. Alioto, Y. Liu, M. Nagatani, A. Raychowdhury, A. Cathelin, and B. Murmann. ISSCC, page 525-528. IEEE, (2021)

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Disambiguation of "Klinefelter, Alicia"

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A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.

Please choose a person to relate this publication to

Alicia Kühl

Alicia Avellana

Alicia Díaz

Alicia Melis

Alicia Poplawski

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Klinefelter, Alicia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.

Please choose a person to relate this publication to

Alicia Kühl

Alicia Avellana

Alicia Díaz

Alicia Melis

Alicia Poplawski

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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A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm.