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Innovative GPU accelerated algorithm for fast minimum convex hulls computation

https://doi.org/10.15439/2015f305
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/b138823openalex-snapshot
Applied Geometry for Computer Graphics and CAD
inferredcites →https://doi.org/10.1007/bf01934510openalex-snapshot
Some performance tests of convex hull algorithms
inferredcites →https://doi.org/10.1007/bf02712873openalex-snapshot
Optimal output-sensitive convex hull algorithms in two and three dimensions
inferredcites →https://doi.org/10.1007/s10766-013-0252-yopenalex-snapshot
Boosting CUDA Applications with CPU–GPU Hybrid Computing
inferredcites →https://doi.org/10.1016/0020-0190(72)90045-2openalex-snapshot
An efficient algorith for determining the convex hull of a finite planar set
inferredcites →https://doi.org/10.1016/0020-0190(73)90020-3openalex-snapshot
On the identification of the convex hull of a finite set of points in the plane
inferredcites →https://doi.org/10.1016/0020-0190(78)90003-0openalex-snapshot
A fast convex hull algorithm
inferredcites →https://doi.org/10.1109/mm.2010.41openalex-snapshot
The GPU Computing Era
inferredcites →https://doi.org/10.1111/j.1467-9574.1996.tb01478.xopenalex-snapshot
Polyhedral techniques in combinatorial optimization I: Theory
inferredcites →https://doi.org/10.1145/1188455.1188549openalex-snapshot
Memory---A memory model for scientific algorithms on graphics processors
inferredcites →https://doi.org/10.1145/235815.235821openalex-snapshot
The quickhull algorithm for convex hulls
inferredcites →https://doi.org/10.13140/rg.2.1.3186.3844openalex-snapshot
Exploration of Data Coding Methods in Wireless Computer Networks
inferredcites →https://doi.org/10.15439/2014f282openalex-snapshot
Movement Tracking in Terrain Conditions Accelerated with CUDA
inferredcites →https://doi.org/10.2307/2008200openalex-snapshot
Computational Geometry--An Introduction.
inferredcites →https://doi.org/10.4236/ajcm.2013.31a003openalex-snapshot
On Constructing Approximate Convex Hull
inferredcites →https://doi.org/10.5281/zenodo.16440openalex-snapshot
Formation And Investigation Of Kruskal’S Algorithm Parallel Scheme For Shared Memory Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.5229openalex-snapshot
CudaCHPre2D: A straightforward preprocessing approach for accelerating 2D convex hull computations on the GPU
inferred← citeshttps://doi.org/10.1007/978-3-319-40132-4_1openalex-snapshot
Fast Output-Sensitive Approach for Minimum Convex Hulls Formation
inferred← citeshttps://doi.org/10.1007/s10559-018-0101-5openalex-snapshot
Designing an It Infrastructure
inferred← citeshttps://doi.org/10.1007/s11554-023-01359-8openalex-snapshot
How to compute the convex hull of a binary shape? A real-time algorithm to compute the convex hull of a binary shape
inferred← citeshttps://doi.org/10.1109/atit58178.2022.10024183openalex-snapshot
Wireless Network Planning
inferred← citeshttps://doi.org/10.1109/atit58178.2022.10024234openalex-snapshot
Method Using Partial Data to Confirm Completion of the Tree Parity Machines Synchronization
inferred← citeshttps://doi.org/10.1109/atit58178.2022.10024248openalex-snapshot
Experimental Face Recognition System Based On Improved Artificial Intelligence Model
inferred← citeshttps://doi.org/10.1109/pdp2018.2018.00119openalex-snapshot
CudaPre2D: A Straightforward Preprocessing Approach for Accelerating 2D Convex Hull Computations on the GPU
inferred← citeshttps://doi.org/10.1109/tcset.2016.7452101openalex-snapshot
Investigation of transformations and landscapes for combinatorial optimization problems
inferred← citeshttps://doi.org/10.15407/pp2018.02.149openalex-snapshot
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