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Katie Spoon
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2020 – today
- 2022
- [c6]Atsuya Okazaki
, Pritish Narayanan, Stefano Ambrogio, Kohji Hosokawa
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. ISCAS 2022: 3319-3323 - 2021
- [j1]Katie Spoon, Hsinyu Tsai, An Chen, Malte J. Rasch, Stefano Ambrogio, Charles Mackin
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers Comput. Neurosci. 15: 675741 (2021) - [c5]Robert L. Bruce, Syed Ghazi Sarwat
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. IRPS 2021: 1-6 - [c4]Kohji Hosokawa
Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). ISCAS 2021: 1-5 - 2020
- [c3]Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin
Accelerating Deep Neural Networks with Analog Memory Devices. AICAS 2020: 149-152 - [c2]Charles Mackin
Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. IRPS 2020: 1-10 - [c1]Andrea Fasoli, Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, Alexander M. Friz, An Chen, Geoffrey W. Burr:
Optimization of Analog Accelerators for Deep Neural Networks Inference. ISCAS 2020: 1-5
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