Results 31 to 40 of about 35,296 (265)

Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields

International Journal of Digital Earth, 2019
The Markov chain random field (MCRF) model is a spatial statistical approach for modeling categorical spatial variables in multiple dimensions. However, this approach tends to be computationally costly when dealing with large data sets because of its ...
Weixing Zhang, Weidong Li, Chuanrong Zhang, Tian Zhao   +3 more
doaj   +1 more source

A Heterogeneous Parallel Cholesky Block Factorization Algorithm

IEEE Access, 2018
As an essential part of current mainstream computing systems, GPUs are not only powerful graphics engines but also highly parallel programmable processors.
Rongteng Wu
doaj   +1 more source

GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems

Applied Sciences, 2018
Simulating hydraulic transients in ultra-long water (oil, gas) transmission or large-scale distribution systems are time-consuming, and exploring ways to improve the simulation efficiency is an essential research direction. The parallel implementation of
Wanwan Meng, Yongguang Cheng, Jiayang Wu, Zhiyan Yang, Yunxian Zhu, Shuai Shang   +5 more
doaj   +1 more source

MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture

Sensors, 2022
The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO radar signal
Gaogao Liu, Wenbo Yang, Peng Li, Guodong Qin, Jingjing Cai, Youming Wang, Shuai Wang, Ning Yue, Dongjie Huang   +8 more
doaj   +1 more source

Opportunistic computing in GPU architectures [PDF]

Proceedings of the 46th International Symposium on Computer Architecture, 2019
Data transfer overhead between computing cores and memory hierarchy has been a persistent issue for von Neumann architectures and the problem has only become more challenging with the emergence of manycore systems. A conceptually powerful approach to mitigate this overhead is to bring the computation closer to data, known as Near Data Computing (NDC ...
Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das   +7 more
openaire   +1 more source

GPU-Accelerated Target Strength Prediction Based on Multiresolution Shooting and Bouncing Ray Method

Applied Sciences, 2022
The application of the traditional planar acoustics method is limited due to the low accuracy when computing the echo characteristics of underwater targets. Based on the concept of the shooting and bouncing ray which considers multiple reflections on the
Gang Zhao, Naiwei Sun, Shen Shen, Xianyun Wu, Li Wang   +4 more
doaj   +1 more source

Reconfigurable and High-Efficiency Password Recovery Algorithms Based on HRCA

IEEE Access, 2021
Cryptographic algorithms are widely used in information security fields such as network protocol authentication and commercial encryption software. Password recovery based on the hash algorithm is an important means of electronic forensics, encrypted ...
Bin Li, Feng Feng, Xiaojie Chen, Yan Cao
doaj   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source