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07/07/2023
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers
Transformer networks have emerged as the state-of-the-art approach for n...
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07/03/2023
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks
The emerging trend of deploying complex algorithms, such as Deep Neural ...
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06/27/2023
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
Recent trends in deep learning (DL) imposed hardware accelerators as the...
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05/12/2023
Echoes: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays
Emerging applications in the IoT domain require ultra-low-power and high...
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03/31/2023
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training
On-chip DNN inference and training at the Extreme-Edge (TinyML) impose s...
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03/29/2023
Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case
Autonomous Micro Aerial Vehicles (MAVs), with a form factor of 10cm in d...
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11/23/2022
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture
The demand for computation resources and energy efficiency of Convolutio...
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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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11/29/2020
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Network on RISC-V based IoT End Nodes
This work introduces lightweight extensions to the RISC-V ISA to boost t...
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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
A transprecision floating-point cluster for efficient near-sensor data analytics
Recent applications in the domain of near-sensor computing require the a...
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08/17/2020
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
The deployment of Deep Neural Networks (DNNs) on end-nodes at the extrem...
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07/15/2020
Enabling Mixed-Precision Quantized Neural Networks in Extreme-Edge Devices
The deployment of Quantized Neural Networks (QNN) on advanced microcontr...
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08/29/2019