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» Performance study of mapping irregular computations on GPUs
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PPOPP
2010
ACM
15 years 7 months ago
Data transformations enabling loop vectorization on multithreaded data parallel architectures
Loop vectorization, a key feature exploited to obtain high performance on Single Instruction Multiple Data (SIMD) vector architectures, is significantly hindered by irregular memo...
Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrig...
BMCBI
2011
14 years 4 months ago
PileLine: a toolbox to handle genome position information in next-generation sequencing studies
Background: Genomic position (GP) files currently used in next-generation sequencing (NGS) studies are always difficult to manipulate due to their huge size and the lack of approp...
Daniel Glez-Peña, Gonzalo Gómez-L&oa...
COMGEO
2010
ACM
15 years 2 months ago
GIS in the cloud: implementing a web map service on Google App Engine
Many producers of geographic information are now disseminating their data using open web service protocols, notably those published by the Open Geospatial Consortium. There are ma...
J. D. Blower
HPCA
2007
IEEE
15 years 10 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
SAC
2010
ACM
14 years 4 months ago
Convex onion peeling genetic algorithm: an efficient solution to map labeling of point-feature
Map labeling of point-feature is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the ...
Wan D. Bae, Shayma Alkobaisi, Petr Vojtechovsk&yac...