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Massimo Giordano
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Journal Articles
- 2022
- [j3]Kartik Prabhu
, Albert Gural, Zainab F. Khan, Robert M. Radway, Massimo Giordano
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) - 2019
- [j2]Massimo Giordano, Giorgio Cristiano, Koji Ishibashi, Stefano Ambrogio, Hsinyu Tsai, Geoffrey W. Burr
Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 367-376 (2019) - 2018
- [j1]Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M. Shelby, Irem Boybat, Carmelo di Nolfo, Severin Sidler, Massimo Giordano, Martina Bodini, Nathan C. P. Farinha, Benjamin Killeen
Equivalent-accuracy accelerated neural-network training using analogue memory. Nat. 558(7708): 60-67 (2018)
Conference and Workshop Papers
- 2024
- [c5]Massimo Giordano
TinyForge: A Design Space Exploration to Advance Energy and Silicon Area Trade-offs in tinyML Compute Architectures with Custom Latch Arrays. ASPLOS (3) 2024: 1033-1047 - [c4]Rohan Doshi, Massimo Giordano, Justin Olah, Zhidong Cao, Moon Hyung Jang, Luke R. Upton, Athanasios Ramkaj, Boris Murmann:
Medusa: A 0.83/4.6μJ/Frame 86/91.6%-CIFAR-10 TinyML Processor with Pipelined Pixel Streaming of Bottleneck Layers in 28nm CMOS. VLSI Technology and Circuits 2024: 1-2 - [c3]Kartik Prabhu, Robert M. Radway, Y. Jeffrey, Kai Bartolone, Massimo Giordano, Fabian Peddinghaus, Yonatan Urman, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Subhasish Mitra, Priyanka Raina:
MINOTAUR: An Edge Transformer Inference and Training Accelerator with 12 MBytes On-Chip Resistive RAM and Fine-Grained Spatiotemporal Power Gating. VLSI Technology and Circuits 2024: 1-2 - 2021
- [c2]Wei-Han Yu, Massimo Giordano, Rohan Doshi, Minglei Zhang, Pui-In Mak
A 4-bit Mixed-Signal MAC Array with Swing Enhancement and Local Kernel Memory. MWSCAS 2021: 326-329 - [c1]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
Coauthor Index
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