Impact of Thread Parallelism on the Soft Error Reliability of Convolution Neural Networks

Author:

Abich Geancarlo1,Garibotti Rafael2,Gava Jonas1,Reis Ricardo1,Ost Luciano3

Affiliation:

1. PGMicro/UFRGS, Universidade Federal do Rio Grande do Sul,Porto Alegre,Brazil

2. School of Technology, Pontifical Catholic University of Rio Grande do Sul,Brazil

3. Wolfson School, Loughborough University,United Kingdom

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Power and Performance Costs of Radiation-Hardened ML Inference Models Running on Edge Devices;2023 36th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI);2023-08-28

2. Power, Performance and Reliability Evaluation of Multi-thread Machine Learning Inference Models Executing in Multicore Edge Devices;2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI);2023-06-20

3. Soft Error Reliability Assessment of ML Inference Models Executing on Resource-Constrained IoT Edge Devices;Synthesis Lectures on Engineering, Science, and Technology;2023

4. Introduction;Synthesis Lectures on Engineering, Science, and Technology;2023

5. Neural Network's Reliability to Permanent Faults: Analyzing the Impact of Performance Optimizations in GPUs;2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2022-10-24

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