Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes...
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ISSN 0018-9340. Handbook of Cloud Computing, "Data-Intensive Technologies for Cloud Computing," by A.M. Middleton. Handbook of Cloud Computing. Springer, 2010. Hillis...
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Alex Szalay (category 2023 fellows of the Association for Computing Machinery)
international leader in astronomy, cosmology, the science of big data, and data-intensive computing. In 2023, he was elected to the National Academy of Sciences...
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example of a declarative, data-centric language. Declarative, data-centric programming languages are ideal for data-intensive computing applications. The rapid...
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Furht, Borko; Escalante, Armando (2011-12-09). Handbook of Data Intensive Computing. Springer Science & Business Media. p. 17. ISBN 978-1-4614-1414-8...
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Data-centric computing is an emerging concept that has relevance in information architecture and data center design. It describes an information system...
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applications from high-performance gaming to data-intensive computing tasks. In April 2013, a news writer at International Data Group (IDG) – an American technology...
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Geoffrey C. Fox (category 2011 fellows of the Association for Computing Machinery)
known for his contributions to parallel computing, data-intensive computing, and high-performance computing (HPC). He is a professor at the Computer...
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Robert L. Grossman (category 2016 fellows of the Association for Computing Machinery)
University of Chicago. His primary research interests are data science and data-intensive computing. Grossman has worked in several fields. His early work...
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Technology, Inc. is a manufacturer of storage connectivity products for data-intensive computing. ATTO manufactures Fibre Channel and SAS/SATA host bus adapters...
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HPCC (redirect from High-Performance Computing Cluster)
(High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed...
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Distributed file system for cloud (category Cloud computing)
benefit from compute-intensive business. Cloud computing also offers an opportunity to many third-world countries that wouldn't have such computing resources...
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resource-intensive analytical tasks. Some distributed computing frameworks are designed to handle big data workloads. These frameworks can enable data scientists...
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October 2016. Furht, Borko; Armando Escalante (2011). Handbook of Data Intensive Computing. Springer Science & Business Media. p. 32. ISBN 9781461414155....
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carried out on multiple threads. Presto (SQL query engine) Big data Data Intensive Computing Apache Drill Computer cluster "Overview — Trino 468 Documentation"...
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San Diego Supercomputer Center (redirect from San Diego Super Computing Center)
high performance computing, grid computing, computational biology, geoinformatics, computational physics, computational chemistry, data management, scientific...
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separation of compute and storage and may be deployed on-premises or using cloud computing. Apache Drill Big data Data-intensive computing Trino (SQL query...
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researcher who has made an outstanding contribution to the field of data-intensive computing. Award recipients are selected for their ground-breaking, fundamental...
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Microsoft Research (redirect from Data Management, Exploration and Mining group)
Shanghai). Its focus includes natural user interfaces, multimedia, data-intensive computing, search and online advertising, natural language processing, and...
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Farm architecture it implements. Grid Datafarm is a petascale data-intensive computing project initiated in Japan. The project is a collaboration among...
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Apache Hadoop (category Free software for cloud computing)
and regular HTTP for an API Big data Data-intensive computing HPCC – LexisNexis Risk Solutions High Performance Computing Cluster Hypertable – HBase alternative...
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Computational statistics (redirect from Statistical computing)
scientific computing) specific to the mathematical science of statistics. This area is fast developing. The view that the broader concept of computing must...
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concert to perform very large tasks. Fog computing – Distributed computing paradigm that provides data, compute, storage and application services closer...
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Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any...
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NCAR-Wyoming Supercomputing Center (section Data analysis and visualization clusters: Geyser and Caldera)
is a high-performance computing (HPC) and data archival facility located in Cheyenne, Wyoming, that provides advanced computing services to researchers...
29 KB (3,000 words) - 15:39, 23 January 2025
LexisNexis Risk Solutions High Performance Computing Cluster Cloud computing Big data Data Intensive Computing Yunhong Gu, Robert Grossman, Sector and Sphere:...
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Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system...
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Jungle computing is a form of high performance computing that distributes computational work across cluster, grid and cloud computing. The increasing complexity...
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Pentaho (redirect from Pentaho Data Integration)
Performance Computing Cluster Sector/Sphere - open-source distributed storage and processing Cloud computing Big data Data-intensive computing Michael Terallo...
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Multisite cloud (category Cloud computing)
Patrick; Mattoso, Marta (2015). "A Survey of Data-Intensive Scientific Workflow Management". Journal of Grid Computing. 13 (4): 457–493. doi:10.1007/s10723-015-9329-8...
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