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

chitchcock

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

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.

---

silvesthu

GPU Optimization for GameDev

Graphics Pipeline / GPU Architecture Overview

• 2011 - A trip through the Graphics Pipeline 2011
• 2015 - Life of a triangle - NVIDIA's logical pipeline
• 2015 - Render Hell 2.0
• 2016 - How bad are small triangles on GPU and why?
• 2017 - GPU Performance for Game Artists
• 2019 - Understanding the anatomy of GPUs using Pokémon
• 2020 - GPU ARCHITECTURE RESOURCES

raysan5

In the last years I've been asked multiple times about the comparison between raylib and SDL libraries. Unfortunately, my experience with SDL was quite limited so I couldn't provide a good comparison. In the last two years I've learned about SDL and used it to teach at University so I feel that now I can provide a good comparison between both.

Hope it helps future users to better understand this two libraries internals and functionality.

Table of Content

• Introduction
• Library Design Comparison

idbrii

An inline image version of Matt Walker's translation of CEDEC 2017 talks by Nintendo. (I've added italic content.)

Covers four talks:

• Field Level Design in "The Legend of Zelda: Breath of the Wild" ~ Hydral Earth Created
• The Aim of BotW’s UI — Immersive, Impressionable UI
• The Open Air Sound Playing a Massive, Breathing World
• BotW Project Management — Seamless from Prototype to Final Product!

Field Level Design in "The Legend of Zelda: Breath of the Wild" ~ Hydral Earth Created

nemotoo

## Unity ##

*.cs diff=csharp text
*.cginc text
*.shader text

*.mat merge=unityyamlmerge eol=lf
*.anim merge=unityyamlmerge eol=lf
*.unity merge=unityyamlmerge eol=lf
*.prefab merge=unityyamlmerge eol=lf

stephenparish

Commit Message Conventions

These rules are adopted from the AngularJS commit conventions.

• Goals
• Generating CHANGELOG.md
  • Recognizing unimportant commits
  • Provide more information when browsing the history
• Format of the commit message
• Subject line

rayshih

你可能其實不懂繼承 - 什麼是 Covariance 跟 Contravariance

在近代高等程式語言快（ㄏㄨˋ）速（ㄒ一ㄤ）演（ㄔㄠ）化（ㄒㄧˊ）的狀況下，很多 strong type 的程式語言都開始有了 generic 的設計， 舉例來說：

（這只是大略分類）

• Mobile: Swift, Kotlin
• Frontend: Flowtype, TypeScript
• 後端語言：Python (pyre), Scala, C#, Java （沒錯！現在連 Java 都有）

VictorTaelin

async/await is just the do-notation of the Promise monad

CertSimple just wrote a blog post arguing ES2017's async/await was the best thing to happen with JavaScript. I wholeheartedly agree.

In short, one of the (few?) good things about JavaScript used to be how well it handled asynchronous requests. This was mostly thanks to its Scheme-inherited implementation of functions and closures. That, though, was also one of its worst faults, because it led to the "callback hell", an seemingly unavoidable pattern that made highly asynchronous JS code almost unreadable. Many solutions attempted to solve that, but most failed. Promises almost did it, but failed too. Finally, async/await is here and, combined with Promises, it solves the problem for good. On this post, I'll explain why that is the case and trace a link between promises, async/await, the do-notation and monads.

First, let's illustrate the 3 styles by implementing