activity
20162023
most citedVega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode

110 citations · 369 across the 29 of their papers we have counts for

collaborators
Showing 2023 · cs.ARShow all

9 papers · 2 filters

cs.AR2023★ 8 cited

Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters

Jie Chen, Igor Loi, Eric Flamand +3

High Performance and Energy Efficiency are critical requirements for Internet of Things (IoT) end-nodes. Exploiting tightly-coupled clusters of programmable processors (CMPs) has r…

cs.AR2023

PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge

Vikram Jain, Matheus Cavalcante, Nazareno Bruschi +6

Emerging deep neural network (DNN) applications require high-performance multi-core hardware acceleration with large data bursts. Classical network-on-chips (NoCs) use serial packe…

cs.AR2023

A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks

Alessandro Nadalini, Georg Rutishauser, Alessio Burrello +5

The emerging trend of deploying complex algorithms, such as Deep Neural Networks (DNNs), increasingly poses strict memory and energy efficiency requirements on Internet-of-Things (…

cs.AR2023★ 11 cited

ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation

Alessandro Ottaviano, Robert Balas, Giovanni Bambini +5

High-Performance Computing (HPC) processors are nowadays integrated Cyber-Physical Systems demanding complex and high-bandwidth closed-loop power and thermal control strategies. To…

cs.AR2023

Echoes: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays

Mattia Sinigaglia, Luca Bertaccini, Luca Valente +5

Emerging applications in the IoT domain require ultra-low-power and high-performance end-nodes to deal with complex near-sensor-data analytics. Domains such as audio, radar, and St…

cs.AR2023★ 34 cited

Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing

Francesco Conti, Gianna Paulin, Angelo Garofalo +7

Emerging Artificial Intelligence-enabled Internet-of-Things (AI-IoT) System-on-a-Chip (SoC) for augmented reality, personalized healthcare, and nano-robotics need to run many diver…