Maximilian Liehr

16 papers Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
APRIS: Approximate Processing ReRAM In-Sensor Architecture Enabling Artificial-Intelligence-Powered Edge.
IEEE Trans. Emerg. Top. Comput.
Sepehr Tabrizchi, Rebati Raman Gaire, Mehrdad Morsali, Maximilian Liehr, Nathaniel C. Cady, Shaahin Angizi, Arman Roohi
2024 J jnl
A 65-nm RRAM Compute-in-Memory Macro for Genome Processing.
IEEE J. Solid State Circuits
Fan Zhang, Amitesh Sridharan, Wangxin He, Injune Yeo, Maximilian Liehr, Wei Zhang, Nathaniel C. Cady, Yu Cao, Jae-sun Seo, Deliang Fan
2024 — conf
In-Memory Computation Using CMOS-Integrated Resistive RAM for Robotic Navigation.
ICONS
Jeelka Solanki, Jacob Pelton, Rocco Febbo, Maximilian Liehr, Andrew DeCandia, Karsten Beckmann, Garrett S. Rose, Nathaniel C. Cady
2023 — conf
A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment.
ESSCIRC
Fan Zhang, Wangxin He, Injune Yeo, Maximilian Liehr, Nathaniel C. Cady, Yu Cao, Jae-sun Seo, Deliang Fan
2023 J jnl
An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose
2023 J jnl
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks.
CoRR
Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose
2023 — conf
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator.
ICRC
Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi
2023 — conf
RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design.
ACM Great Lakes Symposium on VLSI
Hritom Das, Manu Rathore, Rocco Febbo, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose
2022 — conf
A Compact Model for the Variable Switching Dynamics of HfO2 Memristors.
MWSCAS
Manu Rathore, Ryan Weiss, Mst Shamim Ara Shawkat, Garrett S. Rose, Maximilian Liehr, Minhaz Abedin, Sarah Rafiq, Nathaniel C. Cady
2022 J jnl
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration.
IEEE Trans. Computers
Gokul Krishnan, Li Yang, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Yu Cao
2022 J jnl
Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, Yu Cao
2021 — conf
In-memory Computation of Error-Correcting Codes Using a Reconfigurable HfOx ReRAM 1T1R Array.
MWSCAS
Minhaz Abedin, Maximilian Liehr, Karsten Beckmann, Jubin Hazra, Sarah Rafiq, Nathaniel C. Cady
2021 J jnl
Investigation of ReRAM Variability on Flow-Based Edge Detection Computing Using HfO
IEEE Trans. Circuits Syst. I Regul. Pap.
Sarah Rafiq, Jubin Hazra, Maximilian Liehr, Karsten Beckmann, Minhaz Abedin, Jodh S. Pannu, Sumit Kumar Jha, Nathaniel C. Cady
2021 — conf
Optimization of Switching Metrics for CMOS Integrated HfO2 based RRAM Devices on 300 mm Wafer Platform.
IMW
Jubin Hazra, Maximilian Liehr, Karsten Beckmann, Minhaz Abedin, Sarah Rafiq, Nathaniel C. Cady
2021 — conf
Robust RRAM-based In-Memory Computing in Light of Model Stability.
IRPS
Gokul Krishnan, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao
2019 — conf
Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks.
ICONS
Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel C. Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett S. Rose, Joseph Van Nostrand