A review of approximate computing techniques towards fault mitigation in HW/SW systems

Aponte-Moreno, Alexander; Alejandro, Moncada; Restrepo-Calle, Felipe; Pedraza, César

doi:10.1109/latw.2018.8347241

Cited by 17 publications

(14 citation statements)

References 60 publications

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“…Experimental results show that this optimization is effective when applied to image processing applications. In [18], the authors reviewed the recent works that employs approximate computing techniques to minimize the overheads of faults mitigation. Finally, the authors in [19] recently studied the error introduced in a system based on different types of approximate primitives.…”

Section: Motivational Examplementioning

confidence: 99%

Reducing the Complexity of Fault-Tolerant System Amenable to Approximate Computing

Zhu

Schäfer

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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Many applications tolerate errors at their outputs. Some examples include image and digital signal processing applications. At the same time these applications are often used in systems that require high degrees of fault-tolerance. Examples include autonomous driving applications. Thus, in this work we propose a method to reduce the complexity of hardware redundant systems that are amenable to approximate computing such that soft errors outside a maximum specified threshold are detected. This leads to the detection of catastrophic errors, while allowing the system to continue functioning when smaller single event upsets (SEU) occur. The proposed method reduces the complexity of the duplicated module by applying a set of approximations in such a way that the output is guaranteed to operate within a given error range with the exact module. Experimental results show that the proposed approach works well and that area saving between 30% and 19% can be achieved on average for different error ranges compared to the traditional exact duplication with compare approaches.

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Section: Motivational Examplementioning

confidence: 99%

Reducing the Complexity of Fault-Tolerant System Amenable to Approximate Computing

Zhu

Schäfer

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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“…Approximate computing (AC) can be achieved by means of different techniques at the hardware and software levels [18]. At the hardware level [19][20][21], inaccurate but more efficient components can be used.…”

Section: Approximate Computing (Ac)mentioning

confidence: 99%

“…Thanks to the opportunity that AC provides to improve performance and energy efficiency, different researchers have used AC techniques to reduce overheads associated with redundancy in fault mitigation schemes [18]. These works have shown good results by compensating the costs of fault tolerance techniques with the speed-up obtained through AC.…”

Section: Fault Tolerance With Approximate Computing Techniquesmentioning

confidence: 99%

Using Approximate Computing and Selective Hardening for the Reduction of Overheads in the Design of Radiation-Induced Fault-Tolerant Systems

2019

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Fault mitigation techniques based on pure software, known as software-implemented hardware fault tolerance (SIHFT), are very attractive for use in COTS (commercial off-the-shelf) microprocessors because they do not require physical modification of the system. However, these techniques cause software overheads that may affect the efficiency and costs of the overall system. This paper presents a design method of radiation-induced fault-tolerant microprocessorbased systems with lower execution time overheads. For this purpose, approximate computing and selective fault mitigation software-based techniques are used; thus it can be used in COTS devices. The proposal is validated through a case study for the TI MSP430 microcontroller. Results show that the designer can choose among a wide spectrum of design configurations, exploring different trade-offs between reliability, performance, and accuracy of results.

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“…Correspondingly, techniques have been developed for all of the systems layers: for the transistor-, gate-, circuit-or microarchitecture-, architecture-, language-/runtime-, and system-/software-level. Multiple surveys of approximate computing (and related techniques) exist in the literature [10,70,124,127,163,198]. This survey provides the first holistic overview of fundamental limits of computation in the presence of noise, probabilistic computing, stochastic computing, and voltage overscaling across the computing system stack.…”

Section: Related Surveysmentioning

confidence: 99%

Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms

Stanley-Marbell,

Alaghi,

Carbin

et al. 2018

Preprint

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When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, programming languages, and system software can trade deviations from correct behavior for lower resource usage. We present, for the first time, a synthesis of research results on computing systems that only make as many errors as their users can tolerate, from across the disciplines of computer aided design of circuits, digital system design, computer architecture, programming languages, operating systems, and information theory.Rather than over-provisioning resources at each layer to avoid errors, it can be more efficient to exploit the masking of errors occurring at one layer which can prevent them from propagating to a higher layer. We survey tradeoffs for individual layers of computing systems from the circuit level to the operating system level and illustrate the potential benefits of end-to-end approaches using two illustrative examples. To tie together the survey, we present a consistent formalization of terminology, across the layers, which does not significantly deviate from the terminology traditionally used by research communities in their layer of focus.

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A review of approximate computing techniques towards fault mitigation in HW/SW systems

Cited by 17 publications

References 60 publications

Reducing the Complexity of Fault-Tolerant System Amenable to Approximate Computing

Reducing the Complexity of Fault-Tolerant System Amenable to Approximate Computing

Using Approximate Computing and Selective Hardening for the Reduction of Overheads in the Design of Radiation-Induced Fault-Tolerant Systems

Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms

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