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Fabric Engine Launches; Solves GIS Imaging Challenges with Dynamic Languages

March 20, 2012  - By
Image: GPS World

Fabric Engine Inc announced that it has officially launched v1.0 of its high-performance computing platform, Fabric Engine. Having recently earned Judge’s Choice at January 2012’s NodeJam, the server- and client-side Fabric Engine technology is now available to programmers under the AGPL license.


According to the announcement, Fabric Engine taps into the power of modern, multi-core hardware to bring multi-threaded, compiled performance to dynamic languages such as JavaScript and Python. The benefits of dynamic languages are well-known – they’re easy to use and fast to work with. However, they are slow when compared to compiled languages. Until now, dynamic language applications have to be re-built using compiled languages in order to provide performance, which introduces significant costs. Fabric Engine gives the same performance as multi-threaded C++, yet retains the ease of use and speed of iteration of dynamic languages.

“With Fabric Engine’s technology, it’s possible to take current backend infrastructure and redeploy it to scale and gain impressive performance increases,” said Guido Vieira, General Manager at Nexalogy Environics, a company focused on social media analytics and an early user of Fabric Engine. “Fabric Engine has other advantages too. In addition to using a language very similar to JavaScript for the high-performance operators (vanilla JavaScript/node.js for everything else), which reduces the need to use C++, you can avoid the whole code-compile-run cycle with its sometimes long delays, and use a more immediate execute model.”

The company reported that on the desktop, Fabric Engine is ideal for high-performance applications, such as those used in game development, animation, film production, GIS, medicine, and other industries that are greedy for performance. Fabric Engine currently runs as a browser plug-in, and is currently in beta for a Python/QT desktop framework. On the server and in the cloud, Fabric Engine is ideal for addressing compute-bound problems that require raw execution performance. With node.js, Fabric Engine provides an asynchronous compute model that works well alongside the other services that node provides.

The company listed proven uses of Fabric Engine include:

–       3D animation

–       Facial recognition

–       Image/video processing

–       Remote collaboration on 3D data

–       GIS visualization

–       Medical visualization

–       Semantic analysis (Nexalogy Use Case)

–       Statistical analysis

–       And any other compute-bound challenge.

“This launch marks the culmination of more than two years of hard work,” said Paul Doyle, CEO and co-founder of Fabric Engine. “We have many ideas of what can be achieved with our technology, but we also look forward to seeing all of the creative directions in which developers push Fabric. With our open-source licensing model, it is easy for developers to get started with Fabric Engine and start building high-performance applications.”

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