.terraform/ | |
*.pem | |
*.tf | |
*.tfstate | |
*.yaml | |
*.backup | |
istio-*/ | |
cert-manager-*/ | |
*.swp | |
env |
#ifndef MINIPOOL_H | |
#define MINIPOOL_H | |
#include <cassert> | |
#include <cstddef> | |
#include <memory> | |
#include <new> | |
#include <utility> | |
/* |
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
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") |
This document is research for the selection of a communication platform for robot-net.
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:
- 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.
- Models and Issues in Data Stream Systems
- 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
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&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 |
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