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GPU Computational Geometry

GPU Computational Geometry

By Shawn Brown - April 3 rd , 2007, CS790-058. GPU Computational Geometry. Introduction to Computational Geometry 3 Papers in the area. Overview. Where am I? How do I get there? mapping Where is the closest post office? Nearest neighbor search

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1k views • 82 slides
Computational Geometry Chapter 12

Computational Geometry Chapter 12

Computational Geometry Chapter 12. employee. age salary start date city address. Motivation Range Trees. e.g. Database Database Record Suppose you want to know all employees with Salary ? [40K, 50K] ? Scan records & pick out those in range *slow*. employee. age salary

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905 views • 77 slides
Computational Geometry Chapter 12

Computational Geometry Chapter 12

Computational Geometry Chapter 12. Range queries. How do you efficiently find points that are inside of a rectangle? Orthogonal range query ([ x 1 , x 2 ], [ y 1 ,y 2 ]): find all points ( x, y ) such that x 1 <x<x 2 and y 1 <y<y 2 Useful also as a multi-attribute database query. y. y 2.

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634 views • 52 slides
Orthogonal Range Searching I

Orthogonal Range Searching I

Orthogonal Range Searching I. Range Trees. Range Searching. S = set of geometric objects Q = query object Report/Count objects in S that intersect Q. Query Q. Report/Count answers. Single-shot Vs Repeatitive. Query may be: Single-shot (one-time). No need to preprocess

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534 views • 38 slides
Range Trees with Variable Length Comparisons (RT-VLC)

Range Trees with Variable Length Comparisons (RT-VLC)

Range Trees with Variable Length Comparisons (RT-VLC). Author: Ioannis Sourdis, Ruben de Smet, and Georgi N. Gaydadjiev Publisher: 15th IEEE Workshop on High Performance Switching and Routing (HPSR), 2009 Presenter: Chin-Chung Pan Date: 2009/09/08. Outline. Introduction RT-VLC Rules

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362 views • 23 slides
Computational Geometry

Computational Geometry

Computational Geometry. Piyush Kumar (Lecture 5: Range Searching). Welcome to CIS5930. Range Searching : recap. 1D Range search kD trees Range Trees Fractional Cascading. Range Searching. Preprocess a set P of objects for efficiently answering queries.

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259 views • 17 slides
Orthogonal Range Searching

Orthogonal Range Searching

Orthogonal Range Searching. Linear Range Search : 1-dim Range Trees 2-dimensional Range Search : kd-trees 2-dimensional Range Search : 2-dim Range Trees Range Search in Higher Dimensions. A ssumption : no two points have the same x or y coordinates. y. x. Range Trees.

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317 views • 13 slides

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