activity
20152020
most citedProtecting Memory-Performance Critical Sections in Soft Real-Time Applications

4 citations · 10 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CR2020

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…

cs.CR2020

SpectreRewind: Leaking Secrets to Past Instructions

Jacob Fustos, Michael Bechtel, Heechul Yun

Transient execution attacks utilize micro-architectural covert channels to leak secrets that should not have been accessible during logical program execution. Commonly used micro-a…

cs.OS20193 cited

Virtual Gang based Scheduling of Real-Time Tasks on Multicore Platforms

Waqar Ali, Rodolfo Pellizzoni, Heechul Yun

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 para…

cs.DC2019

RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems

Waqar Ali, Heechul Yun

In this paper, we present RT-Gang: a novel real-time gang scheduling framework that enforces a one-gang-at-a-time policy. We find that, in a multicore platform, co-scheduling multi…

cs.AR20193 cited

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…

cs.DC2019

Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim

Farzad Farshchi, Qijing Huang, Heechul Yun

NVDLA is an open-source deep neural network (DNN) accelerator which has received a lot of attention by the community since its introduction by Nvidia. It is a full-featured hardwar…