Results 21 to 30 of about 307 (108)
Strong Scalability Studies for the 2-D and 3-D Poisson Equations on the Taki 2018 Cluster
, 2020 The new 2018 nodes in the cluster taki in the UMBC High Performance Computing Facility contain two 18-core Intel Skylake CPUs and 384 GB of memory per node, connected by an EDR (Enhanced Data Rate) InfiniBand interconnect.
Barajas, Carlos, Gobbert, Matthias K.
core +1 more source
UMBC High Performance Computing Facility 2015
, 2015 The UMBC High Performance Computing Facility (HPCF) is the community-based, interdisciplinary core facility for scientific computing and research on parallel algorithms at UMBC. Started in 2008 by more than 20 researchers from ten academic departments
Raim, Andrew +5 more
core +1 more source
UMBC High Performance Computing Facility 2014
, 2014 The UMBC High Performance Computing Facility (HPCF) is the community-based, interdisciplinary core facility for scientific computing and research on parallel algorithms at UMBC.
Raim, Andrew +5 more
core +1 more source
Use of Deep Learning to Classify Compton Camera Based Prompt Gamma Imaging for Proton Radiotherapy
, 2020 UMBC High Performance Computing FacilityReal-time imaging has potential to greatly increase the effectiveness of proton beam therapy for cancer treatment.
Kroiz, Gerson C. +5 more
core +1 more source
Geophysical Trends Inferred From 20 Years of AIRS Infrared Global Observations
Journal of Geophysical Research: Atmospheres, Volume 130, Issue 15, 16 August 2025.Abstract Daily spectral radiance observations by NASA's Atmospheric Infrared Sounder contain detailed information about surface and atmospheric temperature and water vapor. We obtain climate geophysical trends from 20 years (2002/09–2022/08) of Atmospheric Infrared Sounder (AIRS) observations using a novel method operating mostly in radiance space. The
S. DeSouza‐Machado +2 more
wiley +1 more source
, 2020 UMBC High Performance Computing FacilityPredicting violent storms and dangerous weather conditions with current models can take a long time due to the immense complexity associated with weather simulation.
Wang, Jianwu +2 more
core +1 more source
A Flexible Constrained ICA Approach for Multisubject fMRI Analysis
International Journal of Biomedical Imaging, Volume 2025, Issue 1, 2025.Large‐scale analysis of functional connectivity within intrinsic brain networks using functional magnetic resonance imaging (fMRI) data has been widely used for identifying biomarkers in various psychiatric disorders. While the emerging access to large neuroimaging datasets provides unprecedented opportunities for exploring brain functions, they also ...
Hanlu Yang +5 more
wiley +1 more source
Dust Detection in Satellite Data using Convolutional Neural Networks
, 2019 Research assistant: Pei Guo Faculty mentor: Zhibo ZhangAtmospheric dust is known to cause health ailments and impacts earth’s climate and weather patterns.
Cai, Changjie +5 more
core +1 more source
Geophysical Research Letters, Volume 51, Issue 4, 28 February 2024.Abstract Super‐coarse dust particles (diameters >10 μm) are evidenced to be more abundant in the atmosphere than model estimates and contribute significantly to the dust climate impacts. Since super‐coarse dust accounts for less dust extinction in the visible‐to‐near‐infrared (VIS‐NIR) than in the thermal infrared (TIR) spectral regime, they are ...
Jianyu Zheng +10 more
wiley +1 more source
Benchmarking parallel implementations of cloud type clustering from satellite data
, 2020 The study of clouds, i.e., where they occur and what are their characteristics, plays a key role in the understanding of climate change. The aim of this project is to use machine learning in conjunction with parallel computing techniques to classify ...
Hoban, Susan +6 more
core +1 more source