Results 271 to 280 of about 102,917 (301)
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Secure Multiparty Computation of Approximations
ACM Transactions on Algorithms, 2001Approximation algorithms can sometimes provide efficient solutions when no efficient exact computation is known. In particular, approximations are often useful in a distributed setting where the inputs are held by different parties and may be extremely large.
Joan Feigenbaum +5 more
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Approximate computing and the quest for computing efficiency
Proceedings of the 52nd Annual Design Automation Conference, 2015Diminishing benefits from technology scaling have pushed designers to look for new sources of computing efficiency. Multicores and heterogeneous accelerator-based architectures are a by-product of this quest to obtain improvements in the performance of computing platforms at similar or lower power budgets.
Swagath Venkataramani +3 more
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Introduction to approximate computing
2016 IEEE 34th VLSI Test Symposium (VTS), 2016Approximate computing has emerged as a new paradigm for energy-efficient design of circuits and systems. This paper presents a brief introduction to approximate computing as well as to the challenges faced by approximate computing with respect to its prospects for applications in energy-efficient and error-resilient computing systems.
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Computations in Boolean Algebra with Approximation
Fundamenta Informaticae, 2014Computations in Boolean algebra extended by adding an undefined element are investigated in the present paper. These computations (also known as approximative computations) are based on Lukasiewicz three-valued logic and are widely used in those applications where it is necessary to perform logical operations under uncertainty.
Armen Kostanyan, Paruyr Khnkoyan
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Is It Approximate Computing or Malicious Computing?
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020Approximate computing (AC) is an attractive energy efficient technique that can be implemented at almost all the design levels including data, algorithm, and hardware. The basic idea behind AC is to deliberately control the trade-off between computation accuracy and energy efficiency.
Ye Wang +4 more
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Approximated fuzzy LR computation
Information Sciences, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mourad Oussalah 0002, Joris De Schutter
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On Approximate Computer System Models
Journal of the ACM, 1975A new treatment of the boundary conditions of diffusion approximations for interconnected queueing systems is presented. The results have applications to the study of the performance of multiple-resource computer systems. In this approximation method, additional equations to represent the behavior of the queues when they are empty are introduced.
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Error correction for approximate computing
2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016Approximate computing, which sacrifices the accuracy during computation, is a promising technology to save energy. However, large number of computation errors may violate the accuracy requirement of certain applications and should be corrected. Consider a Graphical Processing Unit (GPU) with multiple Streaming Multiprocessors (SMs), where some of these
Hang Zhang 0013 +3 more
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Computing Approximately, and Efficiently
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015, 2015Swagath Venkataramani +3 more
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