Michael Garrett Bechtel

According to our database, Michael Garrett Bechtel authored at least 15 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Analysis and Mitigation of Shared Resource Contention on Heterogeneous Multicore: An Industrial Case Study.

Michael Garrett Bechtel, Heechul Yun

CoRR, 2023

BandWatch: A System-Wide Memory Bandwidth Regulation System for Heterogeneous Multicore.

Eric Seals, Michael Garrett Bechtel, Heechul Yun

Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023

Cache Bank-Aware Denial-of-Service Attacks on Multicore ARM Processors.

Michael Garrett Bechtel, Heechul Yun

Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

2022

Memory-Aware Denial-of-Service Attacks on Shared Cache in Multicore Real-Time Systems.

Michael Garrett Bechtel, Heechul Yun

IEEE Trans. Computers, 2022

A framework for leaking secrets to past instructions.

Jacob Fustos, Michael Garrett Bechtel, Heechul Yun

J. Cryptogr. Eng., 2022

A Closer Look at Intel Resource Director Technology (RDT).

Parul Sohal, Michael Garrett Bechtel, Renato Mancuso, Heechul Yun, Orran Krieger

Proceedings of the RTNS 2022: The 30th International Conference on Real-Time Networks and Systems, Paris, France, June 7, 2022

DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems.

Michael Garrett Bechtel, QiTao Weng, Heechul Yun

Proceedings of the 28th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2022

Denial-of-Service Attacks on Shared Resources in Intel's Integrated CPU-GPU Platforms.

Michael Garrett Bechtel, Heechul Yun

Proceedings of the 25th IEEE International Symposium On Real-Time Distributed Computing, 2022

2020

DeepTaxi: Teaching an Autonomous Car with Social Scaffolding.

Michael Garrett Bechtel, Andrew B. Williams

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Exploiting DRAM bank mapping and HugePages for effective denial-of-service attacks on shared cache in multicore.

Michael Garrett Bechtel, Heechul Yun

Proceedings of the 7th Annual Symposium on Hot Topics in the Science of Security, 2020

SpectreRewind: Leaking Secrets to Past Instructions.

Jacob Fustos, Michael Garrett Bechtel, Heechul Yun

Proceedings of the 4th ACM Workshop on Attacks and Solutions in Hardware Security Workshop, 2020

2019

Denial-of-Service Attacks on Shared Cache in Multicore: Analysis and Prevention.

Michael Garrett Bechtel, Heechul Yun

Proceedings of the 25th IEEE Real-Time and Embedded Technology and Applications Symposium, 2019

2018

DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car.

Michael Garrett Bechtel, Elise McEllhiney, Minje Kim, Heechul Yun

Proceedings of the 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018

2017

DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car.

Michael Garrett Bechtel, Elise McEllhiney, Heechul Yun

CoRR, 2017

2012

Learning robot dynamics with Kinematic Bézier Maps.

Stefan Ulbrich, Michael Garrett Bechtel, Tamim Asfour, Rüdiger Dillmann

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012