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isscc 2023 v22 ML accelerator
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2023-03-16
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isscc 2023 v22 ML accelerator
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ISSCC$$ 2023
SESSION&22
Heterogeneous'ML'Accelerators
22.1: A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V 2-to-8b
Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing
© 2023 IEEE
International Solid-State Circuits Conference
1 of 37
A 12.4 TOPS/W @ 136GOPS AI-IoT System-on-Chip
with 16 RISC-V, 2-to-8b Precision-Scalable DNN
Acceleration and 30%-Boost Adaptive Body Biasing
Francesco Conti
1
, Davide Rossi
1
, Gianna Paulin
2
, Angelo Garofalo
1
, Alfio Di Mauro
2
,
Georg Rutishauer
2
, Gianmarco Ottavi
1
, Manuel Eggimann
2
, Hayate Okuhara
1
,
Vincent Huard
3
, Olivier Montfort
3
, Lionel Jure
3
, Nils Exibard
3
, Pascal Gouedo
3
,
Mathieu Louvat
3
, Emmanuel Botte
3
, Luca Benini
1,2
1
University of Bologna,
2
ETH Zürich,
3
Dolphin Design
22.1: A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V 2-to-8b
Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing
© 2023 IEEE
International Solid-State Circuits Conference
2 of 37
Introduction and Motivation
Emerging application areas for
AI-enabled IoT
Personalized Healthcare
Augmented Reality
Nano-Robotics
Challenges
High computational demand from
DNNs, other algorithms
Diverse computational patterns
and requirements
Opportunities
Bit-precision tolerance
Accelerable workloads
22.1: A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V 2-to-8b
Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing
© 2023 IEEE
International Solid-State Circuits Conference
3 of 37
Introduction and Motivation
Emerging application areas for
AI-enabled IoT
Personalized Healthcare
Augmented Reality
Nano-Robotics
Challenges
High computational demand from
DNNs, other algorithms
Diverse computational patterns
and requirements
Opportunities
Bit-precision tolerance
Accelerable workloads
22.1: A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V 2-to-8b
Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing
© 2023 IEEE
International Solid-State Circuits Conference
4 of 37
Introduction and Motivation
Emerging application areas for
AI-enabled IoT
Personalized Healthcare
Augmented Reality
Nano-Robotics
Challenges
High computational demand from
DNNs, other algorithms
Diverse computational patterns
and requirements
Opportunities
Bit-precision tolerance
Accelerable workloads
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