Understanding WebGL in JavaScript graphics

WebGL and GPU accelerated graphics for JavaScript

KUOPIO, FINLAND, May 16, 2022 /EINPresswire.com/ — When JavaScript graphics are required to render high-performance end-user data visualization applications, they are forced to use state-of-the-art technology that can support rendering fast and refresh rates.

What is “cutting edge” technology?
WebGL has been touted as the ultimate solution for web graphics. See, WebGL speeds up the rendering process by using the client’s GPU. WebGL is easy to use and even faster than traditional HTML5 graphics. WebGL can handle dynamic color matching by any data point property and 3D projections, unlike canvas graphics which cannot.

With WebGL, it is easier to specify with code what the program or application should create. This can create results that simply cannot be achieved when using SVG or simpler canvases.

High-performance web graphics belong to the category of productivity software, but they are more sophisticated. Web Graphs use data visualization APIs to generate plots and graphs in seconds. Here’s an example: WebGL-rendered, GPU-accelerated static surface JavaScript graphics can display 4 million data points in as little as 152 MS (milliseconds).

How does this compare to non-hardware accelerated cards? Naturally, non-hardware accelerated graphics are slower and have limited performance. Compared to a GPU-accelerated WebGL and JS Static Surface graph, a non-hardware accelerated graph would render the same 4 million data points in 22,659 MS (milliseconds). The difference is huge!

JavaScript files
IIFE JavaScript files are presented in the most commonly used graphics. These files are convenient because once you attach the file to an HTML page, it’s accessible from that point on. Another advantage is that JavaScript files often require no installation or downloading and can be downloaded from the host website into your HTML file.

One way to use web graphs is the descriptive invocation approach where the user creates a JSON configuration for the graph. Another approach is a functional application, where the user types code into a terminal to access data in real time. For example, when building a vibration analysis application with LightningChart JS and TypeScript in Visual Studio, a developer simply needs to install the NPM command, run a new terminal in VS, and run the NPM START command to see the vibration analysis application run on localhost. 8080.

Pasi Tuomainen
Arcion Ltd.
+358 453150905
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