Results 91 to 100 of about 1,067,034 (238)

Domain-Specific STT-MRAM-Based In-Memory Computing: A Survey

IEEE Access
In recent years, the rapid growth of big data and the increasing demand for high-performance computing have fueled the development of novel computing architectures.
Alaba Yusuf, Tosiron Adegbija, Dhruv Gajaria   +2 more
doaj   +1 more source

FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm

, 2011
P. Hanappe, Anthony Beurivé, Florence Laguzet, Luc Steels, Nicolas Bellouin, Oliviér Boucher, Y. H. Yamazaki, T. Aina, Myles Allen   +8 more
openalex   +1 more source

Development and application of fast methods for computing momentum transfer between gas and dust in supercomputer simulation of planet formation [PDF]

, 2018
O P Stoyanovskaya, V V Akimkin, E I Vorobyov, T A Glushko, Ya N Pavlyuchenkov, V N Snytnikov, N V Snytnikov   +6 more
openalex   +1 more source

Assessment of subjective image quality, contrast to noise ratio and modulation transfer function in the middle ear using a novel full body cone beam computed tomography device [PDF]

, 2023
Anssi-Kalle Heikkinen, Valtteri Rissanen, Antti A. Aarnisalo, Kristofer Nyman, Saku T. Sinkkonen, Juha Koivisto   +5 more
openalex   +1 more source

Application of Deep Learning to Enhance the Computation of Phase Matrices of Nonspherical Atmospheric Particles Across All Size Parameters

Journal of Geophysical Research: Machine Learning and Computation
Single‐scattering properties of nonspherical particles are essential to atmospheric radiative transfer and remote sensing studies. In particular, full scattering phase matrices are indispensable for simulating polarized radiative transfer and polarimetry‐
Yue Xi, Lei Bi, Wushao Lin
doaj   +1 more source

Bubble Coalescence and Breakup Modeling for Computing Mass Transfer Coefficient

, 2021
Ryan A. Mawson
openalex   +2 more sources

Integrated lithium niobate photonic computing circuit based on efficient and high-speed electro-optic conversion

Nature Communications
The surge in artificial intelligence applications calls for scalable, high-speed, and low-energy computation methods. Computing with photons is promising due to the intrinsic parallelism, high bandwidth, and low latency of photons.
Yaowen Hu, Yunxiang Song, Xinrui Zhu, Xiangwen Guo, Shengyuan Lu, Qihang Zhang, Lingyan He, Cornelis A. A. Franken, Keith Powell, Hana Warner, Daniel Assumpcao, Dylan Renaud, Ying Wang, Letícia Magalhães, Victoria Rosborough, Amirhassan Shams-Ansari, Xudong Li, Rebecca Cheng, Kevin Luke, Kiyoul Yang, George Barbastathis, Mian Zhang, Di Zhu, Leif Johansson, Andreas Beling, Neil Sinclair, Marko Lončar   +26 more
doaj   +1 more source

Traffic prediction method based on domain adaptive transfer learning in urban scenarios

Tongxin xuebao
To address the issues of cross-city transfer capability of traffic prediction models in scenarios with limited data and computing resources, a domain adaptation transfer learning-based traffic prediction method was proposed, along with a transfer ...
XIA Zhenchang, BAN Yijie, TIAN Youliang, LIU Bingyi, CUI Jianqun, CHANG Yanan   +5 more
doaj