Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Yun, Heechul"'
Modern commercial-off-the-shelf (COTS) multicore processors have advanced memory hierarchies that enhance memory-level parallelism (MLP), which is crucial for high performance. To support high MLP, shared last-level caches (LLCs) are divided into mul
Externí odkaz:
http://arxiv.org/abs/2410.14003
Prior research has demonstrated the effectiveness of end-to-end deep learning for robotic navigation, where the control signals are directly derived from raw sensory data. However, the majority of existing end-to-end navigation solutions are predomin
Externí odkaz:
http://arxiv.org/abs/2410.07447
This work addresses the challenge of adapting dynamic deadline requirements for LiDAR object detection deep neural networks (DNNs). The computing latency of object detection is critically important to ensure safe and efficient navigation. However, st
Externí odkaz:
http://arxiv.org/abs/2409.11542
Autor:
Bechtel, Michael, Yun, Heechul
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 reality head-up display (AR-HUD) case-study application of the industrial ch
Externí odkaz:
http://arxiv.org/abs/2304.13110
In this work, we present a novel scheduling framework enabling anytime perception for deep neural network (DNN) based 3D object detection pipelines. We focus on computationally expensive region proposal network (RPN) and per-category multi-head detec
Externí odkaz:
http://arxiv.org/abs/2208.12181
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 advances in both MCU hardware and machine learning software frameworks m
Externí odkaz:
http://arxiv.org/abs/2208.11212
Autor:
Bechtel, Michael, Yun, Heechul
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 insight, we introduce new cache DoS attacks, which can be mounted fro
Externí odkaz:
http://arxiv.org/abs/2005.10864
Transient execution attacks utilize micro-architectural covert channels to leak secrets that should not have been accessible during logical program execution. Commonly used micro-architectural covert channels are those that leave lasting footprints i
Externí odkaz:
http://arxiv.org/abs/2003.12208
We propose a virtual-gang based parallel real-time task scheduling approach for multicore platforms. Our approach is based on the notion of a virtual-gang, which is a group of parallel real-time tasks that are statically linked and scheduled together
Externí odkaz:
http://arxiv.org/abs/1912.10959
Autor:
Bechtel, Michael G, Yun, Heechul
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 cause more than 300X execution time increases on a victim task running o
Externí odkaz:
http://arxiv.org/abs/1903.01314