15 citations · 20 across the 5 of their papers we have counts for
5 papers
Analysis and Mitigation of Shared Resource Contention on Heterogeneous Multicore: An Industrial Case Study
Michael Bechtel, Heechul Yun
In this paper, we present a solution to the industrial challenge put forth by ARM in 2022. We systematically analyze the effect of shared resource contention to an augmented realit…
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
Michael Bechtel, QiTao Weng, Heechul Yun
Running deep neural networks (DNNs) on tiny Micro-controller Units (MCUs) is challenging due to their limitations in computing, memory, and storage capacity. Fortunately, recent ad…
Memory-Aware Denial-of-Service Attacks on Shared Cache in Multicore Real-Time Systems
Michael Bechtel, Heechul Yun
In this paper, we identify that memory performance plays a crucial role in the feasibility and effectiveness for performing denial-of-service attacks on shared cache. Based on this…
Denial-of-Service Attacks on Shared Cache in Multicore: Analysis and Prevention
Michael G Bechtel, Heechul Yun
In this paper we investigate the feasibility of denial-of-service (DoS) attacks on shared caches in multicore platforms. With carefully engineered attacker tasks, we are able to ca…
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
Michael G. Bechtel, Elise McEllhiney, Minje Kim +1
We present DeepPicar, a low-cost deep neural network based autonomous car platform. DeepPicar is a small scale replication of a real self-driving car called DAVE-2 by NVIDIA. DAVE-…