@inproceedings{54271efd37e04558b52a189145cc436a,
title = "On the Reliability of Xilinx's Deep Processing Unit and Systolic Arrays for Matrix Multiplication",
abstract = "Through neutron beam experiments, we measure the radiation sensitivity of Xilinx's DPU, and discuss the trade-offs between performance, area, and reliability. Furthermore, we provide insights on the fault model of systolic arrays for matrix multiplication.",
keywords = "DPU, FPGA, neural networks, reliability, Xilinx",
author = "F. Libano and P. Rech and J. Brunhaver",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 20th European Conference on Radiation and Its Effects on Components and Systems, RADECS 2020 ; Conference date: 19-06-2020 Through 23-06-2020",
year = "2020",
doi = "10.1109/RADECS50773.2020.9857687",
language = "English (US)",
series = "2020 20th European Conference on Radiation and Its Effects on Components and Systems, RADECS 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 20th European Conference on Radiation and Its Effects on Components and Systems, RADECS 2020 - Proceedings",
}