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» Managing large datasets with iRODS - a performance analyses
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2009
IEEE
13 years 11 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
IJVR
2006
166views more  IJVR 2006»
13 years 4 months ago
Multi-screen Tiled Displayed, Parallel Rendering System for a Large Terrain Dataset
Real time terrain rendering plays a very important role in many fields, such of GIS, virtual reality, and military simulations. With the rapid development of PC-level hardware, rec...
Ping Yin, Xiaohong Jiang, Jiaoying Shi, Ran Zhou
HIPC
2000
Springer
13 years 8 months ago
Meta-data Management System for High-Performance Large-Scale Scientific Data Access
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
Wei-keng Liao, Xiaohui Shen, Alok N. Choudhary
BMCBI
2010
151views more  BMCBI 2010»
13 years 4 months ago
BABAR: an R package to simplify the normalisation of common reference design microarray-based transcriptomic datasets
Background: The development of DNA microarrays has facilitated the generation of hundreds of thousands of transcriptomic datasets. The use of a common reference microarray design ...
Mark J. Alston, John Seers, Jay C. D. Hinton, Sach...