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Modern platforms, composed of multicore CPUs coupled with accelerators such as graphics processing units (GPUs) or Intel Xeon Phis, are now widely used in high performance computing to address the cha...
The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluat...
In this paper, we investigate the exact method of searching an axis of binary image symmetry, based on brute-force search among all potential symmetry axes. As a measure of symmetry, we use the set-th...
with the support of the IEEE Computer Society Technical Committee on Parallel Processing.Parallel and Distributed Computing (PDC) is nowadays omnipresent. It is in all the computational environments, ...
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
Extended morphological profile (EMP) is a good technique for extracting spectral-spatial information from the images but large size of hyperspectral images is an important concern for creating EMPs. H...
The 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV) will be organized by Edinburgh Napier University, Edinburgh, Scotland, UK and will be held at the John McIntyre Cen...
As laser scanning technology improves and costs are coming down, the amount of point cloud data being generated can be prohibitively difficult and expensive to process on a single machine. This data e...
Presently, we developed a novel robust motion estimation method for localization and mapping in underground infrastructure using a pre-calibrated rigid stereo camera rig. Localization and mapping in u...
Dynamic granularity estimation is a new technique for automatically identifying expressions in functional languages for parallel evaluation. Expressions with little computation relative to thread-crea...
Given a set P of n uncertain points on the real line, each rep-resented by its one-dimensional probability density function, we consider the problem of building data structures on P to answer range qu...
A* search is a fundamental topic in artificial intelligence. Re-cently, the general purpose computation on graphics process-ing units (GPGPU) has been widely used to accelerate nu-merous computational...
Research on Parallel Bulk-Loading R-Trees Based on Partition Technology of Database.
Photogrammetric measurement and modelling procedures are dependent on accurate camera calibration and orientation. The accuracy of image-based registration and texture mapping approaches can be defic...
As one of the key technologies for improving the efficiency of parallel processing of a huge volume spatial data under the distributed parallel computing environment, the parallel spatial indexing mec...

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