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Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities [PDF]
Proceedings of the IEEE, 2020 Approximate computing is an advanced computational technique that trades the accuracy of computation results for better utilization of system resources. It has emerged as a new preferable paradigm over traditional computing architectures for many applications where inaccurate results are acceptable.
Weiqiang Liu +2 more
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A Survey of Techniques for Approximate Computing [PDF]
ACM Computing Surveys, 2016 Approximate computing trades off computation quality with effort expended, and as rising performance demands confront plateauing resource budgets, approximate computing has become not merely attractive, but even imperative. In this article, we present a survey of techniques for approximate computing (AC).
Sparsh Mittal
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Approximate Computing, Intelligent Computing [PDF]
IEEE Micro, 2018 Approximate computing could be considered intelligent computing, because it uses energy resources to perform exact computation only when needed and approximate whenever possible.
Lieven Eeckhout
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Design of high-performance, accurate, and approximate Dadda-tree multipliers for image processing applications [PDF]
Scientific ReportsApproximate computing comes to the fore as an alternative paradigm to enhance efficiency in computing systems by trading off the system’s accuracy for better performance.
Aqib Amin Rather +3 more
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Architecture-Aware Approximate Computing [PDF]
Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2019 Deliberate use of approximate computing has been an active research area recently. Observing that many application programs from different domains can live with less-than-perfect accuracy, existing techniques try to trade off program output accuracy with performance-energy savings.
Kislal, Orhan +4 more
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Approximate Computing: Concepts, Architectures, Challenges, Applications, and Future Directions [PDF]
IEEE AccessThe unprecedented progress in computational technologies led to a substantial proliferation of artificial intelligence applications, notably in the era of big data and IoT devices.
Ayad M. Dalloo +3 more
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Adaptive Approximate Computing With CGRAgen [PDF]
IEEE Design & TestModern Edge applications are diverse and compute-intensive but can often afford constrained computational inaccuracy. Commonly denoted approximate computing, this paper explores the integration of inexact arithmetic units into Coarse-Grained Reconfigurable Array (CGRA) architectures with an associated, comprehensive framework for architecture modeling,
Ometov Aleksandr +2 more
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ACM Transactions on Architecture and Code Optimization, 2022 Although approximate computing promises better performance for applications allowing marginal errors, dearth of hardware support and lack of run-time accuracy guarantees makes it difficult to adopt. We present As-Is, an Anytime Speculative Interruptible System that takes an approximate program and executes it with time-proportional approximations. That
Mitali Soni +2 more
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An Efficient Fault Injection Algorithm for Identifying Unimportant FFs in Approximate Computing Circuits [PDF]
, 2023 Approximate Computing (AC) saves energy and improves performance by introducing approximation into computation in error-torrent applications. This work focuses on an AC strategy that accurately performs important computations and approximates others.
Lu, Jiaxuan +2 more
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Feedback-Tuned Fuzzing for Accelerating Quality Verification of Approximate Computing Design [PDF]
, 2023 This paper proposes a novel quality verification (q-verification) technique for approximate computing (AC) design, which explores the input patterns that violate the constraint of computational quality, e.g., image quality.
Honda, Yusei +2 more
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