Results 21 to 30 of about 6,713,771 (281)

Optimal Realizations of Floating-Point Implemented Digital Controllers with Finite Word Length Considerations [PDF]

, 2004
The closed-loop stability issue of finite-precision realizations is investigated for digital controllers implemented in floating-point arithmetic.
Chu, J., Wu, J., Whidborne, J.F., Chen, S.   +3 more
core   +2 more sources

BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks

IEEE Access, 2019
Binarization can greatly compress and accelerate deep convolutional neural networks (CNNs) for real-time industrial applications. However, existing binarized CNNs (BCNNs) rely on scaling factor (SF) and batch normalization (BatchNorm) that still involve ...
Lijun Wu, Peiqing Jiang, Zhicong Chen, Xu Lin, Yunfeng Lai, Peijie Lin, Shuying Cheng   +6 more
doaj   +1 more source

Metrics, Noise Propagation Models, and Design Framework for Floating-Point Approximate Computing

IEEE Access, 2021
Approximate computing has emerged as an efficient solution for energy saving at the expense of calculation accuracy, especially for floating-point operation intensive applications, which have urgent demands for some uniform design frameworks for floating-
Yiyao Xiang, Lei Li, Shiwei Yuan, Wanting Zhou, Benqing Guo   +4 more
doaj   +1 more source

Arithmetic operations beyond floating point number precision [PDF]

International Journal of Computational Science and Engineering, 2011
5 figures, accepted for publication in International Journal of Computational Science and ...
Chih-Yueh Wang, Chen-Yang Yin, Hong-Yu Chen, Yung-Ko Chen   +3 more
openaire   +2 more sources

Secure Floating-Point Training [PDF]

, 2023
Secure 2-party computation (2PC) of floating-point arithmetic is improving in performance and recent work runs deep learning algorithms with it, while being as numerically precise as commonly used machine learning (ML) frameworks like PyTorch.
Rahul Sharma, Anwesh Bhattacharya, Dawn Song, Divya Gupta, Deevashwer Rathee   +4 more
core   +1 more source

Accurate and robust geometric algorithms for regridding on the sphere [PDF]

Geoscientific Model Development
Regridding is one of the most common operations in geoscientific modeling and data analysis. There are many types of regridding, each drawing from a common set of fundamental computational geometry algorithms.
H. Chen, P. A. Ullrich, P. A. Ullrich, J. Panetta, D. Marsico, D. Marsico, M. Hanke, R. Jain, C. Zhang, R. L. Jacob   +9 more
doaj   +1 more source

Hybrid Precision Floating-Point (HPFP) Selection to Optimize Hardware-Constrained Accelerator for CNN Training

Sensors
The rapid advancement in AI requires efficient accelerators for training on edge devices, which often face challenges related to the high hardware costs of floating-point arithmetic operations.
Muhammad Junaid, Hayotjon Aliev, SangBo Park, HyungWon Kim, Hoyoung Yoo, Sanghoon Sim   +5 more
doaj   +1 more source

DESIGN AND PERFORMANCE ANALYSIS OF TERNARY LOGIC BASED ALU USING DOUBLE PRECISION FLOATING POINT [PDF]

Proceedings on Engineering Sciences
In digital circuits, particularly space signal applications, the detection/estimation of phase (angle) like milli degree is challenging and involves many complex operations.
Nagarathna R , A R Aswatha
doaj   +1 more source

IMPLEMENTATION OF QUANTUM ARITHMETIC OPERATIONS WITH INTEGER CHARACTERS USING THE QUANTUM FOURIER TRANSFORM

Journal of Problems in Computer Science and Information Technologies, 2023
It has been proven that a quantum computer is superior to an electronic com puter in solving some NP problems. Based on quantum operations, this article proposes a new quantum sum and quantum multiplication, and then the floating point quantum ...
Aksultan Mukhanbet, Moldir Nakibayeva, Beimbet Daribayev   +2 more
doaj   +1 more source

Algorithms for estimating modular numbers in floating-point arithmetic

Наука. Инновации. Технологии, 2022
In the residue number system (RNS), the operations of addition, subtraction, and multiplication are executed in parallel for different digits (residues) of the modular numbers.
Konstantin Sergeevich Isupov
doaj