Reconciling the Tension Between Hardware Isolation and Data Sharing in Mixed-Criticality, Multicore Systems

Chisholm, Micaiah; Kim, Nam Hoon; Ward, Bryan C.; Otterness, Nathan; Anderson, James H.; Smith, F. Donelson

doi:10.1109/rtss.2016.015

Cited by 39 publications

(18 citation statements)

References 25 publications

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“…data sharing) tasks are becoming evidently ill-suited as they diminish the performance gains of MPSoCs due to the aforementioned three limitations. Accordingly, researchers recognized that in order to have any practical impact, scheduling techniques must permit data sharing [24], [28] and the following two approaches are recently proposed to solve data sharing problems without enforcing isolation.…”

Section: Shared Resources: Shared Datamentioning

confidence: 99%

Heterogeneous MPSoCs for Mixed-Criticality Systems: Challenges and Opportunities

Hassan¹

2018

IEEE Des. Test

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Abstract-Due to their cost, performance, area, and energy efficiency, MPSoCs offer appealing architecture for emerging mixed criticality systems (MCS) such as driverless cars, smart power grids, and healthcare devices. Furthermore, heterogeneity of MPSoCs presents exceptional opportunities to satisfy the conflicting requirements of MCS. Seizing these opportunities is unattainable without addressing the associated challenges. We focus on four aspects of MCS that we believe are of most importance upon adopting MPSoCs: theoretical model, interference, data sharing, and security. We outline existing solutions, highlight the necessary considerations for MPSoCs including both opportunities they create and research directions yet to be explored.

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Section: Shared Resources: Shared Datamentioning

confidence: 99%

Heterogeneous MPSoCs for Mixed-Criticality Systems: Challenges and Opportunities

Hassan¹

2018

IEEE Des. Test

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“…Convert YUV forma ed image to a grayscale image. results concerning user-level sharing reported in [10]. CL is the best choice if the LLC is large enough to hold all message bu ers.…”

Section: Yuv2graymentioning

confidence: 99%

“…e intent of our study is not to delve into complicated precedence-related schedulability issues but rather to demonstrate the e ects of DRAM and LLC allocation policies. To avoid such complications, we assumed that tasks that communicate via IPC share a common period, like in prior work on user-level IPC in MC 2 [10]. For similar reasons, we assumed that I/O-consuming Level-A/B tasks simply poll for I/O data (polling is not necessary for Level-C tasks because they are sporadic).…”

Section: Approachmentioning

confidence: 99%

“…us, when sharing is considered in the context of the one-out-of-m problem, the focus inevitably shi s to the weaker goal of lessening its impact. Prior work in this direction by our group has addressed user-level data sharing [10] and the usage of shared libraries [10,28] in the context of a hardware-isolation framework targeting mixed-criticality systems called MC 2 (mixed-criticality on multicore) [9-11, 17, 28, 30, 36, 48]. However, no work on the one-out-of-m problem has heretofore been published that investigates techniques for lessening the impact of OS-induced sharing by optimizing memory allocations.…”

Section: Introductionmentioning

confidence: 99%

“…(4) is similarly impacted by measurement data. ese details are described in full in previously published papers[10,11,28,30].Category…”

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confidence: 99%

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Supporting I/O and IPC via Fine-Grained OS Isolation for Mixed-Criticality Real-Time Tasks

Kim

Tang

Otterness

et al. 2018

Proceedings of the 26th International Conference on Real-Time Networks and Systems

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E orts towards hosting safety-critical, real-time applications on multicore platforms have been stymied by a problem dubbed the "one-out-of-m" problem: due to excessive analysis pessimism, the overall capacity of an m-core platform can easily be reduced to roughly just one core. e predominant approach for addressing this problem introduces hardware-isolation techniques that ameliorate contention experienced by tasks when accessing shared hardware components, such as DRAM memory or caches. Unfortunately, in work on such techniques, the operating system (OS), which is a key source of potential interference, has been largely ignored. Most real-time OSs do facilitate the use of a coarse-grained partitioning strategy to separate the OS from user-level tasks. However, such a strategy by itself fails to address any data sharing between the OS and tasks, such as when OS services are required for interprocess communication (IPC) or I/O. is paper presents techniques for lessening the impacts of such sharing, speci cally in the context of MC 2 , a hardware-isolation framework designed for mixed-criticality systems. Additionally, it presents the results from micro-benchmark experiments and a large-scale schedulability study conducted to evaluate the e cacy of the proposed techniques and to elucidate sharing vs. isolation tradeo s involving the OS. is is the rst paper to systematically consider such tradeo s and consequent impacts of OS-induced sharing on the one-out-of-m problem. CCS CONCEPTS •Computer systems organization → Multicore architectures; Embedded so ware; Real-time system architecture; •So ware and its engineering → Memory management; Embedded so ware; Realtime schedulability; Communications management;

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Application of Natural Language Processing in Healthcare

Roy

Debdas

Kundu

et al. 2021

Computational Intelligence and Healthcare Informatics

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Reconciling the Tension Between Hardware Isolation and Data Sharing in Mixed-Criticality, Multicore Systems

Cited by 39 publications

References 25 publications

Heterogeneous MPSoCs for Mixed-Criticality Systems: Challenges and Opportunities

Heterogeneous MPSoCs for Mixed-Criticality Systems: Challenges and Opportunities

Supporting I/O and IPC via Fine-Grained OS Isolation for Mixed-Criticality Real-Time Tasks

Application of Natural Language Processing in Healthcare

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