tommystanton

#!/bin/bash

while inotifywait \
  --quiet --quiet \
  --recursive \
  --event close_write \
  lib/ @lib/.precomp/ bin/ t/; do \
clear; \
prove --exec perl6 --lib --verbose; \
done

awwaiid

class Matplotlib {

  use Inline::Python;

  has $!py;

  submethod BUILD() {
    $!py = Inline::Python.new();
    $!py.run('import matplotlib.pyplot')
  }

masak

enum Currency <EUR USD>;

multi rate(EUR) { 1.252 }
multi rate(USD) { 1.000 }

class Money {
    has Real     $.amount;
    has Currency $.currency;

    method convert_to(Currency $currency) {

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

jboner

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