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09/04/2023
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters
High Performance and Energy Efficiency are critical requirements for Int...
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11/27/2022
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC
IoT applications span a wide range in performance and memory footprint, ...
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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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06/03/2022
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference
Analog In-Memory Computing (AIMC) is emerging as a disruptive paradigm f...
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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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10/18/2021
Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode
The Internet-of-Things requires end-nodes with ultra-low-power always-on...
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07/16/2021
DNN is not all you need: Parallelizing Non-Neural ML Algorithms on Ultra-Low-Power IoT Processors
Machine Learning (ML) functions are becoming ubiquitous in latency- and ...
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06/15/2021
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices
We present the implementation of seizure detection algorithms based on a...
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12/12/2020
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers
The analysis of source code through machine learning techniques is an in...
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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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04/14/2020
Energy-Efficient Hardware-Accelerated Synchronization for Shared-L1-Memory Multiprocessor Clusters
The steeply growing performance demands for highly power- and energy-con...
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02/24/2020
Combining Learning and Optimization for Transprecision Computing
The growing demands of the worldwide IT infrastructure stress the need f...
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11/28/2017