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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Carmen's Fun WebGPU Triangle</title> | |
</head> |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Carmen's Fun WebGPU Triangle</title> | |
</head> |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Carmen's Fun WebGPU Triangle</title> | |
</head> |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Carmen's Fun WebGPU Triangle</title> | |
</head> |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Carmen's Fun WebGPU Triangle</title> | |
</head> |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Carmen's Fun WebGPU Triangle</title> | |
</head> | |
<body> | |
<canvas id="canvas-container"></canvas> |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8" /> | |
<meta http-equiv="X-UA-Compatible" content="IE=edge" /> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
<title>Carmen Cincotti - WebGPU Triangle</title> | |
<style> | |
canvas { |
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import { vecDistSquared } from "./math"; | |
/** | |
* Hash table for self collisions of the Cloth object | |
* | |
* https://github.com/matthias-research/pages/blob/master/tenMinutePhysics/11-hashing.pdf | |
* https://www.carmencincotti.com | |
*/ | |
export class Hash { | |
private spacing: number; |
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/** | |
* Query for items in hash table | |
* After execution, check results in: | |
* - queryIds - particle ids found in query | |
* - querySize - number of particles found | |
* | |
* Theory: | |
* https://www.carmencincotti.com/2022-11-07/spatial-hash-maps-part-two/ | |
*/ | |
query(pos: Float32Array, nr: number, maxDist: number) { |
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/** | |
* Create the spatial hash table data structure - based off of | |
* https://github.com/matthias-research/pages/blob/master/tenMinutePhysics/11-hashing.pdf | |
* | |
* Theory: | |
* https://www.carmencincotti.com/2022-10-31/spatial-hash-maps-part-one/ | |
* | |
* Scroll down to Creating the Data Structure Slide | |
*/ | |
create(pos: Float32Array) { |
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