backwardspy

-- CONFIGURATION

-- Desired output (RF/t)
local TARGET_OUTPUT = 30000

-- Reserve at least this much energy in the buffer
local BUFFER_MIN = 0.5

-- Attempt to stay below this much energy in the buffer
local BUFFER_MAX = 0.8

backwardspy

#define AA 2

const float PI=acos(-1.);
const float EPS=.001,MAX=100.;
const int ITER=128;

float sph(vec3 p, float r){
    return length(p)-r;
}

backwardspy

#version 410 core

uniform float fGlobalTime; // in seconds
uniform vec2 v2Resolution; // viewport resolution (in pixels)

uniform sampler1D texFFT; // towards 0.0 is bass / lower freq, towards 1.0 is higher / treble freq
uniform sampler1D texFFTSmoothed; // this one has longer falloff and less harsh transients
uniform sampler1D texFFTIntegrated; // this is continually increasing
uniform sampler2D texChecker;
uniform sampler2D texNoise;

backwardspy

from random import randint as rand, random as randf
import math

import pyxel


class ObjectPool:
    """
    ObjectPool is a data structure that grows to fit a set of objects.
    """

backwardspy

- mass
97794.515 kg + (35561.6 kg * 12)
= 524533.715 kg

- velocity
60 mile/h = 96.5606 km/h = 26.82238889 m/s

- displacement
30 feet = 9.144 m

backwardspy

backwardspy

Init:
Create a context containing all needed devices (CPU(s) + GPU(s) + other(s)).
Create command queues for each device list in the context.
Create memory objects to share memory with coprocessor devices.
Load and link one or more computation kernels.

Usage:
Define an index-space (NDRange) of which the kernel is to be executed.
Set the arguments of the kernel's entry point function.
Enqueue a kernel for execution on one of the command queues for a particular device list.