Results 101 to 110 of about 26,080 (290)
MPI Introduction (SC '08 Education Program's Workshop on Parallel & Cluster Computing)
Dr. Henry Neeman, Director OU Supercomputing Center for Education & Research University of Oklahoma SC08 Education Program’s Workshop on Parallel & Cluster computing August 10-16 2008WHAT IS MPI? The Message-Passing Interface (MPI) is a standard for
Neeman, Henry
core
Background Genetic association studies have been used to map disease-causing genes. A newly introduced statistical method, called exhaustive haplotype association study, analyzes genetic information consisting of different numbers and combinations of DNA
Mishima Hiroyuki +2 more
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Real-time high-throughput cotton phenotyping using distributed computing and deep learning
In this paper, we present an approach for real-time high-throughput cotton phenotyping using distributed computing and deep learning. The objective of this study is to develop a big data pipeline to efficiently ingest and process large amounts of image ...
Vaishnavi Thesma +2 more
doaj +1 more source
Parallel and Distributed Computing Using MPI on Raspberry Pi Cluster [PDF]
Khin Nyein Myint +2 more
openaire +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Free Software for the Educational Cluster of Parallel and Distributed Computing [PDF]
A. Prodyvus +3 more
openaire +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Application of K-means supported by clustered systems in big data association rule mining
s: Association rule mining plays an important role in the field of data mining, which is used to discover hidden relationships. However, as data volumes increase, traditional association rule mining methods are constrained to single-machine computing ...
Lihua Liu
doaj +1 more source

