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PPOPP
2003
ACM
14 years 2 months ago
The design and implementation of a parallel array operator for the arbitrary remapping of data
Gather and scatter are data redistribution functions of longstanding importance to high performance computing. In this paper, we present a highly-general array operator with power...
Steven J. Deitz, Bradford L. Chamberlain, Sung-Eun...
CONCURRENCY
2004
151views more  CONCURRENCY 2004»
13 years 8 months ago
User transparency: a fully sequential programming model for efficient data parallel image processing
Although many image processing applications are ideally suited for parallel implementation, most researchers in imaging do not benefit from high performance computing on a daily b...
Frank J. Seinstra, Dennis Koelma
DOLAP
2004
ACM
14 years 2 months ago
Experimental evidence on partitioning in parallel data warehouses
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...
Pedro Furtado
CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 9 months ago
Data Partitioning for Parallel Entity Matching
Entity matching is an important and difficult step for integrating web data. To reduce the typically high execution time for matching we investigate how we can perform entity matc...
Toralf Kirsten, Lars Kolb, Michael Hartung, Anika ...
CODES
2010
IEEE
13 years 6 months ago
Automatic memory partitioning: increasing memory parallelism via data structure partitioning
In high-level synthesis, pipelined designs are often restricted by the number of memory banks available to the synthesis system. Using multiple memory banks can improve the perfor...
Yosi Ben-Asher, Nadav Rotem