Marco Donato

27 papers A* 5A 3B 1Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A conf
PIGen: Accelerating ReRAM Co-Design via Generative Physics-Informed Modeling.
ICCAD
Zihan Zhang, Marco Donato
2024 A conf
Heterogeneous Memory Integration and Optimization for Energy-Efficient Multi-Task NLP Edge Inference.
ISLPED
Zirui Fu, Aleksandre Avaliani, Marco Donato
2023 J jnl
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs.
IEEE J. Solid State Circuits
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2023 J jnl
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures.
CoRR
Zirui Fu, Aleksandre Avaliani, Marco Donato
2022 A* conf
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories.
HPCA
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
2022 J jnl
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators.
IEEE J. Solid State Circuits
Sae Kyu Lee, Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2021 — conf
9.8 A 25mm
ISSCC
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021 A conf
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories.
ISLPED
Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David M. Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato
2021 J jnl
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories.
CoRR
Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato
2021 A* conf
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference.
MICRO
Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021 J jnl
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories.
CoRR
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
2021 — conf
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33
HCS
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020 — conf
A 3mm
VLSI Circuits
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2020 — conf
A Scalable Bayesian Inference Accelerator for Unsupervised Learning.
Hot Chips Symposium
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
2020 J jnl
CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development.
IEEE Micro
Paul N. Whatmough, Marco Donato, Glenn G. Ko, Sae Kyu Lee, David Brooks, Gu-Yeon Wei
2020 J jnl
CHIPKIT: An agile, reusable open-source framework for rapid test chip development.
CoRR
Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2020 J jnl
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.
CoRR
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2019 — conf
A 16nm 25mm
VLSI Circuits
Paul N. Whatmough, Sae Kyu Lee, Marco Donato, Hsea-Ching Hsueh, Sam Likun Xi, Udit Gupta, Lillian Pentecost, Glenn G. Ko, David M. Brooks, Gu-Yeon Wei
2019 B conf
MASR: A Modular Accelerator for Sparse RNNs.
PACT
Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2019 J jnl
MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge.
IEEE Micro
Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei
2019 A* conf
MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation.
MICRO
Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks
2018 J jnl
A Sub-Threshold Noise Transient Simulator Based on Integrated Random Telegraph and Thermal Noise Modeling.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Marco Donato, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky
2018 A* conf
On-chip deep neural network storage with multi-level eNVM.
DAC
Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei
2016 A* conf
A fast simulator for the analysis of sub-threshold thermal noise transients.
DAC
Marco Donato, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky
2016 — conf
Design of Error-Resilient Logic Gates with Reinforcement Using Implications.
ACM Great Lakes Symposium on VLSI
Xijing Han, Marco Donato, R. Iris Bahar, Alexander Zaslavsky, William R. Patterson
2015 — conf
A Simulation Framework for Analyzing Transient Effects Due to Thermal Noise in Sub-Threshold Circuits.
ACM Great Lakes Symposium on VLSI
Marco Donato, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky
2012 — conf
A noise-immune sub-threshold circuit design based on selective use of Schmitt-trigger logic.
ACM Great Lakes Symposium on VLSI
Marco Donato, Fabio Cremona, Warren Jin, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky, Joseph L. Mundy