John Moon - RankMe

12 papers A 1C 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	NL-DPE: An Analog In-memory Non-Linear Dot Product Engine for Efficient CNN and LLM Inference. CoRR Lei Zhao, Luca Buonanno, Archit Gajjar, John Moon, Aishwarya Natarajan, Sergey Serebryakov, Ron M. Roth, Xia Sheng, Youtao Zhang, Paolo Faraboschi, Jim Ignowski, Giacomo Pedretti
2025	C	`conf`	RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration. ICCD Lei Zhao, Aishwarya Natarajan, Luca Buonanno, Archit Gajjar, Ron M. Roth, Sergey Serebryakov, John Moon, Omar Eldash, Jim Ignowski, Giacomo Pedretti
2025	J	`jnl`	Solving Boolean satisfiability problems with resistive content addressable memories. CoRR Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya, Arne Heittmann, Xiangyi Zhang, Mohammad Hizzani, George Higgins Hutchinson, Dongseok Kwon, John Moon, Elisabetta Valiante, Ignacio Rozada, Catherine E. Graves, Jim Ignowski, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2024	A	`conf`	CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. ICCAD John Moon, Giacomo Pedretti, Pedro Bruel, Sergey Serebryakov, Omar Eldash, Luca Buonanno, Catherine E. Graves, Paolo Faraboschi, Jim Ignowski
2024	C	`conf`	Memristive Quaternary Content-Addressable Memories for Implementing Boolean Functions. ISCAS Luca Buonanno, Giacomo Pedretti, Lei Zhao, Aishwarya Natarajan, Todd Richmond, John Moon, Rand Jean, Xia Sheng, Ron M. Roth, Jim Ignowski
2023	—	`conf`	Design Space Exploration of Analog CAM for Tree-Based Models. MWSCAS Aishwarya Natarajan, Luca Buonanno, Todd Richmond, David Vickers, Xia Sheng, John Moon, Darrin Miller, Giacomo Pedretti, Catherine Graves, Jim Ignowski
2023	J	`jnl`	RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration. CoRR Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti
2023	J	`jnl`	X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves
2021	J	`jnl`	Hierarchical Architectures in Reservoir Computing Systems. CoRR John Moon, Wei D. Lu
2021	J	`jnl`	Hierarchical architectures in reservoir computing systems. Neuromorph. Comput. Eng. John Moon, Yuting Wu, Wei D. Lu
2021	J	`jnl`	Neural Functional Connectivity Reconstruction with Second-Order Memristor Network. Adv. Intell. Syst. Yuting Wu, John Moon, Xiaojian Zhu, Wei D. Lu
2021	J	`jnl`	Neural connectivity inference with spike-timing dependent plasticity network. Sci. China Inf. Sci. John Moon, Yuting Wu, Xiaojian Zhu, Wei D. Lu