4.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH46 papers
- University of BolognaIT11 papers
- Haute Ecole Arc IngénierieCH4 papers
- HES-SO ArcCH4 papers
- IBM Research - ZurichCH4 papers
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH3 papers
- National Institute for Materials ScienceJP3 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Fondazione Bruno KesslerIT2 papers
- Purdue University West LafayetteUS2 papers
- Rice UniversityUS2 papers
- University of Alabama in HuntsvilleUS2 papers
5 papers · 1 filter
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization
Philipp Mayer, Michele Magno, Luca Benini
Smart and unobtrusive mobile sensor nodes that accurately track their own position have the potential to augment data collection with location-based functions. To attain this visio…
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design
Matteo Perotti, Matheus Cavalcante, Nils Wistoff +3
Vector architectures are gaining traction for highly efficient processing of data-parallel workloads, driven by all major ISAs (RISC-V, Arm, Intel), and boosted by landmark chips,…
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics
Elia Cereda, Stefano Bonato, Mirko Nava +2
Vision-based deep learning perception fulfills a paramount role in robotics, facilitating solutions to many challenging scenarios, such as acrobatic maneuvers of autonomous unmanne…
Systematic Prevention of On-Core Timing Channels by Full Temporal Partitioning
Nils Wistoff, Moritz Schneider, Frank K. Gürkaynak +2
Microarchitectural timing channels enable unwanted information flow across security boundaries, violating fundamental security assumptions. They leverage timing variations of sever…
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini +4
Computationally intensive algorithms such as Deep Neural Networks (DNNs) are becoming killer applications for edge devices. Porting heavily data-parallel algorithms on resource-con…