306 search results - page 22 / 62 » Performance of Data-Parallel Spatial Operations |
IPPS
2010
IEEE
13 years 5 months ago
2010
IEEE
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
EDBT
2008
ACM
14 years 7 months ago
2008
ACM
We introduce a novel spatial join operator, the ring-constrained join (RCJ). Given two sets P and Q of spatial points, the result of RCJ consists of pairs p, q (where p P, q Q) ...
ICFP
2012
ACM
11 years 10 months ago
2012
ACM
Graphics processing units (GPUs) provide both memory bandwidth and arithmetic performance far greater than that available on CPUs but, because of their Single-Instruction-Multiple...
HPCA
2004
IEEE
14 years 8 months ago
2004
IEEE
Many current programmable architectures designed to exploit data parallelism require computation to be structured to operate on sequentially accessed vectors or streams of data. A...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Down-up sampling of images is an essential process for spatial scalability of the video coding standard. We propose an efficient down-up sampling method in spatial domain using DC...