Marco Donato

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 23

Top Topics

Bayesian Inference

Top Venues

IEEE J. Solid State Circuits

Publications

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
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 58 (2) (2023)
Zirui Fu, Aleksandre Avaliani, Marco Donato
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures. CoRR (2023)
Sae Kyu Lee, Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators. IEEE J. Solid State Circuits 57 (2) (2022)
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. HPCA (2022)
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
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. ISLPED (2021)
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
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. MICRO (2021)
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
SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET. ISSCC (2021)
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. CoRR (2021)
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
Hot Chips Symposium - August 22-24, 2021. HCS (2021)
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
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. CoRR (2021)
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. CoRR (2020)
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
A Scalable Bayesian Inference Accelerator for Unsupervised Learning. Hot Chips Symposium (2020)
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm. VLSI Circuits (2020)
Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
CHIPKIT: An agile, reusable open-source framework for rapid test chip development. CoRR (2020)
Paul N. Whatmough, Marco Donato, Glenn G. Ko, Sae Kyu Lee, David Brooks, Gu-Yeon Wei
CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development. IEEE Micro 40 (4) (2020)
Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks
MASR: A Modular Accelerator for Sparse RNNs. PACT (2019)
Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei
MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge. IEEE Micro 39 (6) (2019)
Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks
MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. MICRO (2019)
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
SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. VLSI Circuits (2019)
Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei
On-chip deep neural network storage with multi-level eNVM. DAC (2018)
Marco Donato, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky
A Sub-Threshold Noise Transient Simulator Based on Integrated Random Telegraph and Thermal Noise Modeling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (3) (2018)
Xijing Han, Marco Donato, R. Iris Bahar, Alexander Zaslavsky, William R. Patterson
Design of Error-Resilient Logic Gates with Reinforcement Using Implications. ACM Great Lakes Symposium on VLSI (2016)
Marco Donato, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky
A fast simulator for the analysis of sub-threshold thermal noise transients. DAC (2016)
Marco Donato, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky
A Simulation Framework for Analyzing Transient Effects Due to Thermal Noise in Sub-Threshold Circuits. ACM Great Lakes Symposium on VLSI (2015)
Marco Donato, Fabio Cremona, Warren Jin, R. Iris Bahar, William R. Patterson, Alexander Zaslavsky, Joseph L. Mundy
A noise-immune sub-threshold circuit design based on selective use of Schmitt-trigger logic. ACM Great Lakes Symposium on VLSI (2012)