<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Library on Bruno Pedro</title><link>https://brunopedro.com/tags/library/</link><description>Recent content in Library on Bruno Pedro</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 08 May 2018 10:00:15 -0700</lastBuildDate><atom:link href="https://brunopedro.com/tags/library/index.xml" rel="self" type="application/rss+xml"/><item><title>node-fs</title><link>https://brunopedro.com/2011/01/05/node-fs/</link><pubDate>Wed, 05 Jan 2011 19:20:30 +0000</pubDate><guid>https://brunopedro.com/2011/01/05/node-fs/</guid><description>&lt;p>Following my previous post about &lt;a href="https://brunopedro.com/2010/12/15/recursive-directory-nodejs/" title="recursive directory creation with nodejs">recursive directory creation&lt;/a> with nodejs, I created the &lt;a href="https://github.com/bpedro/node-fs" title="node-fs">node-fs&lt;/a> repository on &lt;a href="http://github.com" title="github">github&lt;/a>. node-fs is a way to extend &lt;a href="http://nodejs.org" title="nodejs">nodejs&lt;/a> original fs library, adding recursive directory creation to the mkdir() and mkdirSync() functions.&lt;/p></description></item><item><title>Performance oriented FFT</title><link>https://brunopedro.com/2009/07/17/performance-oriented-fft/</link><pubDate>Fri, 17 Jul 2009 11:05:55 +0000</pubDate><guid>https://brunopedro.com/2009/07/17/performance-oriented-fft/</guid><description>&lt;p>Worth checking out. Quoting the &lt;a href="http://www.fftw.org/">FFTW Home Page&lt;/a>:&lt;/p>
&lt;blockquote>
&lt;p>FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications.&lt;/p>
&lt;/blockquote>
&lt;p>Now, can it work when you have less than 16KB available RAM?&lt;/p></description></item></channel></rss>