Charles Mackin

According to our database1, Charles Mackin authored at least 10 papers between 2013 and 2021.

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Bibliography

2021
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices.
Frontiers Comput. Neurosci., 2021

Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021


2020
Optimization of Analog Accelerators for Deep Neural Networks Inference.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges.
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

Accelerating Deep Neural Networks with Analog Memory Devices.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed.
IBM J. Res. Dev., 2019

2018
Graphene chemical and biological sensors: modeling, systems, and applications.
PhD thesis, 2018

Frequency Response of Graphene Electrolyte-Gated Field-Effect Transistors.
Sensors, 2018

2013
Rapid exploration of processing and design guidelines to overcome carbon nanotube variations.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013


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