(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
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
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 |
As configured in my dotfiles.
start new:
tmux
start new with session name:
(previous Yoneda blog) (reddit) (twitter)
Let's explore the Yoneda lemma. You don't need to be an advanced Haskeller to understand this. In fact I claim you will understand the first section fine if you're comfortable with map
/fmap
and id
.
I am not out to motivate it, but we will explore Yoneda at the level of terms and at the level of types.
// fade out | |
function fade(el) { | |
var op = 1; | |
var timer = setInterval(function () { | |
if (op <= 0.1){ | |
clearInterval(timer); | |
el.style.display = 'none'; | |
} | |
el.style.opacity = op; |
Disclaimer 1: Type classes are great but they are not the right tool for every job. Enjoy some balance and balance to your balance.
Disclaimer 2: I should tidy this up but probably won’t.
Disclaimer 3: Yeah called it, better to be realistic.
Type classes are a language of their own, this is an attempt to document features and give a name to them.
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
/**********************************************/ | |
/* | |
/* IR_Black Skin by Ben Truyman - 2011 | |
/* | |
/* Based on Todd Werth's IR_Black: | |
/* http://blog.toddwerth.com/entries/2 | |
/* | |
/* Inspired by Darcy Clarke's blog post: | |
/* http://darcyclarke.me/design/skin-your-chrome-inspector/ | |
/* |