Power, Performance and Reliability Evaluation of Multi-thread Machine Learning Inference Models Executing in Multicore Edge Devices

Author:

Abich Geancarlo1,da Silva Anderson Ignacio1,Thums José Eduardo1,da Silva Rafael1,Susin Altamiro Amadeu1,Reis Ricardo1,Ost Luciano2

Affiliation:

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

2. Loughborough University,Wolfson School,United Kingdom

Publisher

IEEE

Reference18 articles.

1. An fpga-based performance evaluation of artificial neural network architecture algorithm for iot;teodoro;Wireless Personal Communications,2021

2. Assessment of Machine Learning Algorithms for Near-Sensor Computing under Radiation Soft Errors

3. Performance-reliability trade-off in graphics processing units;dos santos;RADECS,2022

4. Fine-Grained Vulnerability Analysis of Resource Constrained Neural Inference Accelerators

5. A survey on impact of transient faults on bnn inference accelerators;khoshavi;preprint arXiv 2004 05915,2020

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