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05/15/2023
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30
Emerging Artificial Intelligence-enabled Internet-of-Things (AI-IoT) Sys...
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01/21/2022
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode
Computationally intensive algorithms such as Deep Neural Networks (DNNs)...
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01/04/2022
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks
Deployment of modern TinyML tasks on small battery-constrained IoT devic...
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09/03/2021
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet?
In-Memory Acceleration (IMA) promises major efficiency improvements in d...
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10/08/2020
A Mixed-Precision RISC-V Processor for Extreme-Edge DNN Inference
Low bit-width Quantized Neural Networks (QNNs) enable deployment of comp...
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08/27/2020
