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SELECT = (map, results) -> map.call each for each in results | |
FROM = (list, reduce) -> each for each in list when reduce each | |
WHERE = (reduce) -> (each) -> reduce.call each |
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<!DOCTYPE html> | |
<html> | |
<head><title>Fizzlefade</title></head> | |
<body> | |
<canvas id="framebuffer" width="320" height="200"></canvas> | |
<script type="text/javascript"> | |
/* Fizzlefade using a Feistel network. |
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from pylab import * | |
from scipy.stats import * | |
num_adults = 227e6 | |
basic_income = 7.25*40*50 | |
labor_force = 154e6 | |
disabled_adults = 21e6 | |
current_wealth_transfers = 3369e9 | |
def jk_rowling(num_non_workers): |
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Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |