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» Performance of Data-Parallel Spatial Operations
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GIS
2007
ACM
13 years 11 months ago
Pipelined spatial join processing for quadtree-based indexes
Spatial join is an important yet costly operation in spatial databases. In order to speed up the execution of a spatial join, the input tables are often indexed based on their spa...
Walid G. Aref
WCRE
2002
IEEE
14 years 16 days ago
Exposing Data-Level Parallelism in Sequential Image Processing Algorithms
As new computer architectures are developed to exploit large-scale data-level parallelism, techniques are needed to retarget legacy sequential code to these platforms. Sequential ...
Lewis B. Baumstark Jr., Linda M. Wills
CF
2004
ACM
14 years 1 months ago
Improving the execution time of global communication operations
Many parallel applications from scientific computing use MPI global communication operations to collect or distribute data. Since the execution times of these communication opera...
Matthias Kühnemann, Thomas Rauber, Gudula R&u...
IWMMDBMS
1996
64views more  IWMMDBMS 1996»
13 years 9 months ago
Spatial Indexing into Compressed Raster Images: How to Answer Range Queries Without Decompression
The maintenance of large raster images under spatial operations is still a major performance bottleneck. For reasons of storage space, images in a collection, such as satellite pi...
Renato Pajarola, Peter Widmayer
WSC
1996
13 years 9 months ago
Scalable simulation models for construction operations
Construction operations are often repetitive not only in terms of time (the same tasks are performed over and over) but also in terms of space (the same tasks are repeated at seve...
Photios G. Ioannou, Julio C. Martínez