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@outro56
outro56 / .gitignore
Created September 21, 2021 00:09 — forked from pdxjohnny/.gitignore
Setting Up k3s for Serverless (knative) on a $5 DigitalOcean Droplet Using k3d
.terraform/
*.pem
*.tf
*.tfstate
*.yaml
*.backup
istio-*/
cert-manager-*/
*.swp
env
@rofirrim
rofirrim / minipool.hpp
Last active March 7, 2022 10:14
Very simple memory pool
#ifndef MINIPOOL_H
#define MINIPOOL_H
#include <cassert>
#include <cstddef>
#include <memory>
#include <new>
#include <utility>
/*
@mbinna
mbinna / effective_modern_cmake.md
Last active April 18, 2024 19:26
Effective Modern CMake

Effective Modern CMake

Getting Started

For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.

After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft

@leonardofed
leonardofed / README.md
Last active April 22, 2024 08:02
A curated list of AWS resources to prepare for the AWS Certifications


A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.


-- This is the LuaJIT implementation of Smoothsort [1], a comparison-based
-- sorting algorithm with worst-case asymptotic O(n log n) behaviour, best-case
-- O(n) behaviour, and a smooth transition in between. Largely based on the C++
-- code by Keith Schwarz [2], translated to LuaJIT by Lesley De Cruz.
-- [1] Dijkstra, E. W. (1982). Smoothsort, an alternative for sorting in situ.
-- Science of Computer Programming, 1(3), 223-233.
-- [2] Schwarz, K. Smoothsort demystified. http://www.keithschwarz.com/smoothsort/.
local ffi = require("ffi")
@hmartiro
hmartiro / zeromq-vs-redis.md
Last active April 14, 2024 20:33
Comparison of ZeroMQ and Redis for a robot control platform

ZeroMQ vs Redis

This document is research for the selection of a communication platform for robot-net.

Goal

The purpose of this component is to enable rapid, reliable, and elegant communication between the various nodes of the network, including controllers, sensors, and actuators (robot drivers). It will act as the core of robot-net to create a standardized infrastructure for robot control.

Requirements:

@debasishg
debasishg / gist:8172796
Last active March 15, 2024 15:05
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t
$VERBOSE = nil
require File.expand_path('../rooby', __FILE__)
Person = Rooby::Class.new 'Person' do
define :initialize do |name|
@name = name
end
define :name do
@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

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