Building interactive sites can involve sending JavaScript to your users. Often, too much of it. Have you been on a mobile page that looked like it had loaded only to tap on a link or tried to scroll…
gpu.js is a single-file JavaScript library for GPGPU in the browser. gpu.js will automatically compile specially written JavaScript functions into shader language and run them on the GPU using the WebGL API. In the case where WebGL is not available, the functions will still run in regular JavaScript.
Service workers are at the core of Progressive Web Apps. They allow caching of resources and push notifications, which are two of the main distinguishing features that have set native apps apart up…
gpu.js is a GPGPU(General purpose Programming on Graphical Processing Units) library that lets you hand over hefty calculations to the GPU for super fast operation and output. It currently runs on the browser and node.js, wherein it is using WebGl API’s in the browser, and a single threaded operation on node.js. OpenCL is on the roadmap.
Lately I’ve been asked a lot about how I would implement a debounce function as an exercise, and I wondered why this question has become prevalent in the front-end engineering world. The more I was…
It’s quite common to divide our program into chunks using functions which we can call later to perform some useful action. Sometimes, a function can become expensive to call multiple times (say, a…
As we build sites more heavily reliant on JavaScript, we sometimes pay for what we send down in ways that we can’t always easily see. In this post, I’ll cover why a little discipline can help if…
As web developers, we know how easy it is to end up with web page bloat. But loading a webpage is much more than shipping bytes down the wire. Once the browser has downloaded our page’s scripts it…
We have extended our previous benchmarks to include other popular DOM manipulation libraries: Angular 1 and 2, Mithril.js, cito.js and the standalone independent implementation of React's Virtual DOM algorithm. We have also added more metrics (including memory use).
G. Richards, S. Lebresne, B. Burg, und J. Vitek. Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation, Seite 1--12. ACM, (Juni 2010)