Massively Parallel Processing Databases is a type of parallel database system that belongs to the class of distributed database architectures and is distinguished by its use of a large number of processors or nodes operating concurrently on separate data segments with shared-nothing architecture to achieve high-performance query processing and scalability.
7
Publications
199
Citations
18
Authors
8
Institutions
Publications per year
2017–2026
3
Parents
Publications
7
Knowledge expansion over probabilistic knowledge bases
Yang Chen, Daisy Zhe Wang · 2014 · 67 citations
A massive memory supercomputer
John Rosenberg, David Koch, J. Leslie Keedy · 2003 · 26 citations
Database technologies in the world of big data
Jaroslav Pokorný · 2015 · 15 citations
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Authors
18
- DD
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- DZ
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- LR
1
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- NG
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- XZ
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1–5 of 18
Institutions
8
University of Newcastle Australia
Newcastle, Australia
1 h-index
3 publications
78 citations
Renmin University of China
Beijing, China
1 h-index
4 publications
56 citations
University of Florida
Gainesville, United States
1 h-index
2 publications
134 citations
Stockholm University
Stockholm, Sweden
1 h-index
1 publications
52 citations
East China Normal University
Shanghai, China
1 h-index
1 publications
14 citations
Newcastle University
Newcastle upon Tyne, United Kingdom
1 h-index
3 publications
78 citations
National Research University Higher School of Economics
Moscow, Russia
1 h-index
1 publications
52 citations
Binus University
Jakarta, Indonesia
1 h-index
4 publications
56 citations
1–8 of 8
Venues
- Procedia Computer Science
1 publications · 14 citations
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- Scalable Computing Practice and Experience
1 publications · 11 citations
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- Data Science and Engineering
1 publications · 14 citations
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- Computer Standards & Interfaces
1 publications · 52 citations
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