Marco Donato
Marco Donato
Assistant Professor, Tufts University
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Edgebert: Sentence-level energy optimizations for latency-aware multi-task nlp inference
T Tambe, C Hooper, L Pentecost, T Jia, EY Yang, M Donato, V Sanh, ...
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021
Masr: A modular accelerator for sparse rnns
U Gupta, B Reagen, L Pentecost, M Donato, T Tambe, AM Rush, GY Wei, ...
2019 28th International Conference on Parallel Architectures and Compilation …, 2019
Maxnvm: Maximizing dnn storage density and inference efficiency with sparse encoding and error mitigation
L Pentecost, M Donato, B Reagen, U Gupta, S Ma, GY Wei, D Brooks
Proceedings of the 52Nd Annual IEEE/ACM International Symposium on …, 2019
On-chip deep neural network storage with multi-level eNVM
M Donato, B Reagen, L Pentecost, U Gupta, D Brooks, GY Wei
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators
P Whatmough, SK Lee, M Donato, HC Hsueh, SL Xi, U Gupta, ...
2019 IEEE Symposium on VLSI Circuits, 2019
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence …
T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ...
2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 158-160, 2021
Nvmexplorer: A framework for cross-stack comparisons of embedded non-volatile memories
L Pentecost, A Hankin, M Donato, M Hempstead, GY Wei, D Brooks
arXiv preprint arXiv:2109.01188, 2021
CHIPKIT: An agile, reusable open-source framework for rapid test chip development
PN Whatmough, M Donato, GG Ko, SK Lee, D Brooks, GY Wei
IEEE Micro 40 (4), 32-40, 2020
Fundamental thermal limits on data retention in low-voltage CMOS latches and SRAM
E Rezaei, M Donato, WR Patterson, A Zaslavsky, RI Bahar
IEEE Transactions on Device and Materials Reliability 20 (3), 488-497, 2020
A noise-immune sub-threshold circuit design based on selective use of Schmitt-trigger logic
M Donato, F Cremona, W Jin, RI Bahar, W Patterson, A Zaslavsky, ...
Proceedings of the great lakes symposium on VLSI, 39-44, 2012
Smiv: A 16-nm 25-mm˛ soc for iot with arm cortex-a53, efpga, and coherent accelerators
SK Lee, PN Whatmough, M Donato, GG Ko, D Brooks, GY Wei
IEEE Journal of Solid-State Circuits 57 (2), 639-650, 2021
Memti: Optimizing on-chip nonvolatile storage for visual multitask inference at the edge
M Donato, L Pentecost, D Brooks, GY Wei
IEEE Micro 39 (6), 73-81, 2019
Application-driven design exploration for dense ferroelectric embedded non-volatile memories
MM Sharifi, L Pentecost, R Rajaei, A Kazemi, Q Lou, GY Wei, D Brooks, ...
2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021
A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm
GG Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, ...
2020 IEEE Symposium on VLSI Circuits, 1-2, 2020
EdgeBERT: Optimizing On-chip inference for multi-task NLP
T Tambe, C Hooper, L Pentecost, EY Yang, M Donato, V Sanh, AM Rush, ...
arXiv preprint arXiv:2011.14203, 2020
Fully-CMOS Multi-Level Embedded Non-Volatile Memory Devices with Reliable Long-Term Retention for Efficient Storage of Neural Network Weights
S Ma, M Donato, SK Lee, D Brooks, GY Wei
IEEE Electron Device Letters, 2019
Shot-Noise-Induced Failure in Nanoscale Flip-Flops—Part I: Numerical Framework
P Jannaty, FC Sabou, ST Le, M Donato, RI Bahar, W Patterson, J Mundy, ...
Electron Devices, IEEE Transactions on, 1-7, 0
A 16-nm soc for noise-robust speech and nlp edge ai inference with bayesian sound source separation and attention-based dnns
T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ...
IEEE Journal of Solid-State Circuits 58 (2), 569-581, 2022
Design of error-resilient logic gates with reinforcement using implications
X Han, M Donato, RI Bahar, A Zaslavsky, W Patterson
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 191-196, 2016
A scalable bayesian inference accelerator for unsupervised learning
G Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, GY Wei, ...
2020 IEEE Hot Chips 32 Symposium (HCS), 1-27, 2020
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