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2020 – today
- 2022
[j2]Kartik Prabhu
, Albert Gural, Zainab F. Khan, Robert M. Radway, Massimo Giordano, Kalhan Koul, Rohan Doshi, John W. Kustin, Timothy Liu, Gregorio B. Lopes, Victor Turbiner, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Guénolé Lallement, Boris Murmann, Subhasish Mitra, Priyanka Raina:
CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference. IEEE J. Solid State Circuits 57(4): 1013-1026 (2022)- 2021
- [j1]Angad S. Rekhi, Ernest So, Albert Gural, Amin Arbabian:
CRADLE: Combined RF/Acoustic Detection and Localization of Passive Tags. IEEE Trans. Circuits Syst. I Regul. Pap. 68(6): 2555-2568 (2021) - [c4]Massimo Giordano, Kartik Prabhu, Kalhan Koul, Robert M. Radway, Albert Gural, Rohan Doshi, Zainab F. Khan, John W. Kustin, Timothy Liu, Gregorio B. Lopes, Victor Turbiner, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Guénolé Lallement, Boris Murmann, Subhasish Mitra, Priyanka Raina:
CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference. VLSI Circuits 2021: 1-2 - 2020
- [c3]Sambhav R. Jain, Albert Gural, Michael Wu, Chris Dick:
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks. MLSys 2020 - [i2]Albert Gural, Phillip M. Nadeau, Mehul Tikekar, Boris Murmann:
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology. CoRR abs/2009.03887 (2020)
2010 – 2019
- 2019
- [c2]Daniel Bankman, J. Messner, Albert Gural, Boris Murmann:
RRAM-Based In-Memory Computing for Embedded Deep Neural Networks. ACSSC 2019: 1511-1515 - [c1]Albert Gural, Boris Murmann:
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications. ICML 2019: 2515-2524 - [i1]Sambhav R. Jain, Albert Gural, Michael Wu, Chris Dick:
Trained Uniform Quantization for Accurate and Efficient Neural Network Inference on Fixed-Point Hardware. CoRR abs/1903.08066 (2019)
Coauthor Index
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