activity
20212023
most citedPerformance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs

26 citations · 66 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AR2023

SafeTI Traffic Injector Enhancement for Effective Interference Testing in Critical Real-Time Systems

Francisco Fuentes, Raimon Casanova, Sergi Alcaide +1

Safety-critical domains, such as automotive, space, and robotics, are adopting increasingly powerful multicores with abundant hardware shared resources for higher performance and e…

cs.AR2023

SafeLS: Toward Building a Lockstep NOEL-V Core

Marcel Sarraseca, Sergi Alcaide, Francisco Fuentes +6

Safety-critical systems such as those in automotive, avionics and space, require appropriate safety measures to avoid silent data corruption upon random hardware errors such as tho…

cs.AR2023★ 1 cited

Envisioning a Safety Island to Enable HPC Devices in Safety-Critical Domains

Jaume Abella, Francisco J. Cazorla, Sergi Alcaide +3

HPC (High Performance Computing) devices increasingly become the only alternative to deliver the performance needed in safety-critical autonomous systems (e.g., autonomous cars, un…

cs.AR2023★ 7 cited

An Automotive Case Study on the Limits of Approximation for Object Detection

Martí Caro, Hamid Tabani, Jaume Abella +9

The accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignore…

cs.AR2023★ 6 cited

At-Scale Evaluation of Weight Clustering to Enable Energy-Efficient Object Detection

Martí Caro, Hamid Tabani, Jaume Abella

Accelerators implementing Deep Neural Networks for image-based object detection operate on large volumes of data due to fetching images and neural network parameters, especially if…

cs.AR2022

End-to-End QoS for the Open Source Safety-Relevant RISC-V SELENE Platform

Pablo Andreu, Carles Hernandez, Tomas Picornell +8

This paper presents the end-to-end QoS approach to provide performance guarantees followed in the SELENE platform, a high-performance RISC-V based heterogeneous SoC for safety-rela…

cs.AR2022★ 2 cited

SafeSoftDR: A Library to Enable Software-based Diverse Redundancy for Safety-Critical Tasks

Fabio Mazzocchetti, Sergi Alcaide, Francisco Bas +5

Applications with safety requirements have become ubiquitous nowadays and can be found in edge devices of all kinds. However, microcontrollers in those devices, despite offering mo…

cs.AR2021★ 24 cited

GPU4S: Embedded GPUs in Space -- Latest Project Updates

Leonidas Kosmidis, Iván Rodríguez, Álvaro Jover +6

Following the trend of other safety-critical industries like automotive and avionics, the space domain is witnessing an increase in the on-board computing performance demands. This…

cs.AR2021★ 26 cited

Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs

Hamid Tabani, Fabio Mazzocchetti, Pedro Benedicte +2

Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) bring unprecedented performance requirements for automotive systems. Graphic Processing Unit (GPU) based platf…