Results 21 to 30 of about 322 (162)

Acceleration of Nuclear Reactor Simulation and Uncertainty Quantification Using Low-Precision Arithmetic

open access: yesApplied Sciences, 2023
In recent years, interest in approximate computing has been increasing significantly in many disciplines in the context of saving energy and computation cost by trading off on the quality of numerical simulation.
Alexey Cherezov   +2 more
doaj   +1 more source

Algorithms for estimating modular numbers in floating-point arithmetic

open access: yesНаука. 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  

High-Precision Arithmetic in Mathematical Physics

open access: yesMathematics, 2015
For many scientific calculations, particularly those involving empirical data, IEEE 32-bit floating-point arithmetic produces results of sufficient accuracy, while for other applications IEEE 64-bit floating-point is more appropriate.
David H. Bailey, Jonathan M. Borwein
doaj   +1 more source

Lightweight Floating-Point Arithmetic: Case Study of Inverse Discrete Cosine Transform

open access: yesEURASIP Journal on Advances in Signal Processing, 2002
To enable floating-point (FP) signal processing applications in low-power mobile devices, we propose lightweight floating-point arithmetic. It offers a wider range of precision/power/speed/area trade-offs, but is wrapped in forms that hide the ...
Fang Fang, Chen Tsuhan, Rutenbar Rob A
doaj   +1 more source

Floating-Point Arithmetic [PDF]

open access: yes, 1982
The arithmetic instructions of SDC deal only with integers, and the Function Unit of chapter 10 can only perform arithmetic operations on integers. The calculations which computers are required to carry out may also involve real numbers, which are numbers with integral and fractional parts.
openaire   +1 more source

Quantum Circuits for Floating-Point Arithmetic [PDF]

open access: yes, 2018
Quantum algorithms to solve practical problems in quantum chemistry, materials science, and matrix inversion often involve a significant amount of arithmetic operations which act on a superposition of inputs. These have to be compiled to a set of fault-tolerant low-level operations and throughout this translation process, the compiler aims to come ...
Häner, Thomas   +3 more
openaire   +2 more sources

Al–Cu Composite Casting of Laser‐Deoxidized Copper: Bonding, Interfacial Chemistry, and Thermal Conductivity

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff   +9 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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

open access: yesSensors
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   +5 more
doaj   +1 more source

Structure–Transport–Ion Retention Coupling for Enhanced Nonvolatile Artificial Synapses

open access: yesAdvanced Functional Materials, EarlyView.
Nitrogen incorporation into the conjugated backbone of donor–acceptor polymers enables efficient charge transfer and deep ion embedding in organic electrochemical synaptic transistors (OESTs). This molecular‐level design enhances non‐volatile synaptic properties, providing a new strategy for developing high‐performance and reliable neuromorphic devices.
Donghwa Lee   +5 more
wiley   +1 more source

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