most citedHow to keep pushing ML accelerator performance? Know your rooflines!

12 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20262 cited

LEVIO: Lightweight Embedded Visual Inertial Odometry for Resource-Constrained Devices

Jonas Kühne, Christian Vogt, Michele Magno +1

Accurate, infrastructure-less sensor systems for motion tracking are essential for mobile robotics and augmented reality (AR) applications. The most popular state-of-the-art visual…

cs.CV20251 cited

Efficient and Accurate Downfacing Visual Inertial Odometry

Jonas Kühne, Christian Vogt, Michele Magno +1

Visual Inertial Odometry (VIO) is a widely used computer vision method that determines an agent's movement through a camera and an IMU sensor. This paper presents an efficient and…

eess.SP20254 cited

A 66-Gb/s/5.5-W RISC-V Many-Core Cluster for 5G+ Software-Defined Radio Uplinks

Marco Bertuletti, Yichao Zhang, Alessandro Vanelli-Coralli +1

Following the scale-up of new radio (NR) complexity in 5G and beyond, the physical layer's computing load on base stations is increasing under a strictly constrained latency and po…

cs.AR202512 cited

How to keep pushing ML accelerator performance? Know your rooflines!

Marian Verhelst, Luca Benini, Naveen Verma

The rapidly growing importance of Machine Learning (ML) applications, coupled with their ever-increasing model size and inference energy footprint, has created a strong need for sp…

cs.DC20253 cited

Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization

Luca Colagrande, Luca Benini

Heterogeneous multi-core architectures combine on a single chip a few large, general-purpose host cores, optimized for single-thread performance, with (many) clusters of small, spe…