The Self-Aware Information Processing Factory Paradigm for Mixed-Critical Multiprocessing

Rambo, Eberle A.; Donyanavard, Bryan; Seo, Minjun; Maurer, Florian; Kadeed, Thawra; Melo, Caio Batista de; Maity, Biswadip; Surhonne, Anmol; Herkersdorf, Andreas; Kurdahi, Fadi; Dutt, Nikil; Ernst, Rolf

doi:10.1109/tetc.2020.3011663

Cited by 7 publications

(6 citation statements)

References 30 publications

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“…From the run-time criticality-aware reliability management perspective, ref. [98] have recently investigated MC systems. In this paper, authors have presented the Information Processing Factory (IPF) paradigm to achieve long-term dependability for MC systems, where a 5-layer hierarchical organization has been introduced.…”

Section: Run-time Strategiesmentioning

confidence: 99%

Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper

Sahoo

Ranjbar

Kumar

2021

JLPEA

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With the advancement of technology scaling, multi/many-core platforms are getting more attention in embedded systems due to the ever-increasing performance requirements and power efficiency. This feature size scaling, along with architectural innovations, has dramatically exacerbated the rate of manufacturing defects and physical fault-rates. As a result, in addition to providing high parallelism, such hardware platforms have introduced increasing unreliability into the system. Such systems need to be well designed to ensure long-term and application-specific reliability, especially in mixed-criticality systems, where incorrect execution of applications may cause catastrophic consequences. However, the optimal allocation of applications/tasks on multi/many-core platforms is an increasingly complex problem. Therefore, reliability-aware resource management is crucial while ensuring the application-specific Quality-of-Service (QoS) requirements and optimizing other system-level performance goals. This article presents a survey of recent works that focus on reliability-aware resource management in multi-/many-core systems. We first present an overview of reliability in electronic systems, associated fault models and the various system models used in related research. Then, we present recent published articles primarily focusing on aspects such as application-specific reliability optimization, mixed-criticality awareness, and hardware resource heterogeneity. To underscore the techniques’ differences, we classify them based on the design space exploration. In the end, we briefly discuss the upcoming trends and open challenges within the domain of reliability-aware resource management for future research.

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Section: Run-time Strategiesmentioning

confidence: 99%

Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper

Sahoo

Ranjbar

Kumar

2021

JLPEA

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“…The authors of Reference [98] propose a HAM approach that uses IL and incorporates-in addition to the platform status-the influence of input data onto the execution characteristics of the applications into the mapping-inference process. Here, no functional properties of the applications have to be known.…”

Section: Imitation Learning (Il)mentioning

confidence: 99%

“…The available bandwidth for communication between different HMC modules is even lower at 6 GB/s. Therefore, offloading decisions must consider the placement of data and the selection of PEs together to maximize performance [34,35,98]. Similarly, a reconfigurable unit may require reconfiguration before execution can begin on the offloaded workload [41].…”

Section: Selection Of Memory Pementioning

confidence: 99%

“…The in-memory logic implementation of these operations is shown to be both faster and more energy-efficient, motivating the decision to offload all such operations. Code annotation has been successfully used in both PIM [1,25,98] and fixed-function NMP [28,32,40,57].…”

Section: Code Annotation Approachesmentioning

confidence: 99%

“…To address this, code annotation has been used as a part of other management techniques like compiler-based methods [40] and online heuristics [28] that incorporate some online elements. Other variations of the technique include an extension to the C++ library for identifying offloadable operations [24,98], extensions to the host ISA for uniformity across the system [16,19,57,91], or a new ISA entirely [25]. Extending the software interface in this manner is particularly useful when the source code is not immediately executable on memory PEs or requires the programmer to repeatedly modify large sections of code.…”

Section: Code Annotation Approachesmentioning

confidence: 99%

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Design Space Exploration and Resource Management of Multi/Many-Core Systems

2021

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Towards holonic power and energy systems – A novel ICT architecture as enabler for resilience

Rehtanz,

Ulbig,

Palaniappan

et al. 2024

International Journal of Electrical Power & Energy Systems

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The Self-Aware Information Processing Factory Paradigm for Mixed-Critical Multiprocessing

Cited by 7 publications

References 30 publications

Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper

Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper

Design Space Exploration and Resource Management of Multi/Many-Core Systems

Towards holonic power and energy systems – A novel ICT architecture as enabler for resilience

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