Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier R Pujol, H Tabani, L Kosmidis, E Mezzetti, J Abella, FJ Cazorla 31st Euromicro Conference on Real-Time Systems (ECRTS 2019), 2019 | 47 | 2019 |
A cross-layer review of deep learning frameworks to ease their optimization and reuse H Tabani, R Pujol, J Abella, FJ Cazorla 2020 IEEE 23rd international symposium on real-time distributed computing …, 2020 | 28 | 2020 |
Empirical evidence for mpsocs in critical systems: The case of nxp's t2080 cache coherence R Pujol, H Tabani, J Abella, M Hassan, FJ Cazorla 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 11 | 2021 |
Vector extensions in COTS processors to increase guaranteed performance in real-time systems R Pujol, J Jorba, H Tabani, L Kosmidis, E Mezzetti, J Abella, F Cazorla ACM Transactions on Embedded Computing Systems 22 (2), 1-26, 2023 | 7 | 2023 |
ADBench: benchmarking autonomous driving systems H Tabani, R Pujol, M Alcon, J Moya, J Abella, FJ Cazorla Computing 104 (3), 481-502, 2022 | 2 | 2022 |
Tracking coherence-related contention delays in real-time multicore systems R Pujol, M Hassan, H Tabani, J Abella, FJ Cazorla Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 461-470, 2023 | 1 | 2023 |
Experimental analysis on the NXP’s T2080 cache coherence: a step towards MPSoCs in critical systems R Pujol, M Hassan, FJ Cazorla Almeida Barcelona Supercomputing Center, 2022 | | 2022 |