Results 21 to 30 of about 2,749 (228)
Due to the limited number of bits in floating-point or fixed-point arithmetic, rounding is a necessary step in many computations. Although rounding methods can be tailored for different applications, round-off errors are generally unavoidable. When a sequence of computations is implemented, round-off errors may be magnified or accumulated.
Xia, Lu +3 more
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Developing intelligent neuromorphic solutions remains a challenging endeavor. It requires a solid conceptual understanding of the hardware's fundamental building blocks.
Carlo Michaelis +7 more
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In this paper, the problem of scheduling smart homes (SHs) residential loads is considered aiming to minimize electricity bills and enhance the user comfort.
Esam H. Abdelhameed +3 more
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In this paper, we present new variants of Newton–Raphson-based protocols for the secure computation of the reciprocal and the (reciprocal) square root.
Stan Korzilius, Berry Schoenmakers
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Stochastic Rounding for Image Interpolation and Scan Conversion.
10 pages, 17 figures, 3 tables.
Rukundo, Olivier; id_orcid 0000-0003-0193-6225 +1 more
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Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic Devices
While promising for high-capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training.
Junyun Zhao +5 more
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This paper establishes a hybrid distributed Phased-Array Multiple-Input Multiple-Output (PA-MIMO) radar system model, which combines coherent processing gain and spatial diversity gain to synergistically improve the target detection performance.
Cheng QI +4 more
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In this paper, a decomposed state estimator is developed for stochastic constrained nonlinear discrete-time dynamical systems with uncertain parameters.
Mohamed F. Hassan
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This paper establishes a hybrid distributed phased array multiple-input multiple-output (PA-MIMO) radar system model to improve the target detection performance by combining coherent processing gain and spatial diversity gain.
Cheng Qi +4 more
doaj +1 more source
Climate Modeling in Low Precision: Effects of Both Deterministic and Stochastic Rounding [PDF]
Abstract Motivated by recent advances in operational weather forecasting, we study the efficacy of low-precision arithmetic for climate simulations. We develop a framework to measure rounding error in a climate model, which provides a stress test for a low-precision version of the model, and we apply our method to a variety of models including the ...
Paxton, EA +4 more
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