activity
20162023
most citedAn IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

116 citations · 312 across the 5 of their papers we have counts for

collaborators

5 papers

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.AR2021★ 110 cited

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

Davide Rossi, Francesco Conti, Manuel Eggimann +9

The Internet-of-Things requires end-nodes with ultra-low-power always-on capability for a long battery lifetime, as well as high performance, energy efficiency, and extreme flexibi…

cs.AR2017★ 76 cited

Neurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes

Erfan Azarkhish, Davide Rossi, Igor Loi +1

High-performance computing systems are moving towards 2.5D and 3D memory hierarchies, based on High Bandwidth Memory (HBM) and Hybrid Memory Cube (HMC) to mitigate the main memory…

cs.AR2016★ 116 cited

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

Francesco Conti, Robert Schilling, Pasquale Davide Schiavone +9

Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns,…

cs.AR2016★ 2 cited

A near-threshold RISC-V core with DSP extensions for scalable IoT Endpoint Devices

Michael Gautschi, Pasquale Davide Schiavone, Andreas Traber +6

Endpoint devices for Internet-of-Things not only need to work under extremely tight power envelope of a few milliwatts, but also need to be flexible in their computing capabilities…