本软件是由HitFilm机构出品的Fabric Engine视觉特效引擎V2.1版，FABRIC ENGINE 2.1，大小：540 MB，支持Win系统，语言：英语。
由前Softimage员工开发的FabricEngine是一个工具开发平台，该平台的目的是帮助开发人员，利用现代的多核硬件，通过JAVA脚本的动态编程语言来创建各种应用，从而取代之前的像C++这样的编译语言。其中开发的工具可以满足高性能的计算机任务，包括动画、视觉效果和视频处理，这种平台的工作效率更快捷、更直观。“有时整个代码编译运行周期，需要很长的一段时间，而使用FabricEngine可以更快捷的处理模型”最早开始使用这个平台的社会媒体可视化公司NexalogyEnvironics总经理GuidoVieira说。
Fabric Engine是一款神级插件,被誉为新一代的视效工具，此款引擎的开发者为前ICE的开发者.跟Bifrost Engine.Houdini Engine并称为Siggraph的三大引擎。此次发布的是2.0版本.最大的便利就是增加了可视化编程.也就是节点编辑器"Canvas".在早些的版本,只能通过编写代码来实现功能. 跟python,mel,C++都是无缝连接。目前主要引擎主要体现的功能是程序动画跟建模.对于动力学以及流体的模拟暂未能实现。
假如你只是一个非技术型的艺术家，你也许不能直接使用FabricEngine，但在不久的将来，随着该平台定制工具的出现，可能会彻底改变这一状况。虽然官方的新闻发布了一系列的可能应用，从语义分析到医学可视化，但是目前绝大部分的演示应用只包括了3D几何处理、仿真以及渲染。以VFX管线流行的动态语言为例，一般使用会Python语言，那么Fabric引擎可以整合Python和Java脚本。这个市场前景很大，例如FabricEngine团队已经开发一个，具有概念验证特征的骨架工具，这种工具令人印象深刻。
FABRIC ENGINE 2.1
What’s new in Fabric Engine 2.1?
February 26, 2016
Fabric Engine 2.1 is the first big update since we shipped 2.0 last September. Fabric 2 introduced the Canvas visual programming system and we’ve been paying close attention to what you thought of it. It was clear from the feedback that we needed to make your Fabric Engine experience – from getting started all the way to building complex tools – more intuitive and more productive. So we concentrated on making it much easier for you to get started with Canvas by providing more presets, more samples and better visual debugging info. And don’t worry, there are plenty of goodies for people focused on building more complex tools.
Multithreaded. GPU Accelerated
Multi-core CPUs are common. Programmers skilled in writing code that takes full advantage of them are not. Rarer still are those who can leverage the power of GPUs. At the core of Fabric is an engine that does both.
Build Better Tools Faster
Artists and programmers can use Fabric Canvas, a visual, node and connection interface to create their own tools. Experimentation is fast and fluid with immediate feedback. Not only is creating and modifying a tool quick, but the tool itself is really fast – each node in Fabric Canvas is expressed in KL “under the hood”, and runs at speeds comparable with compiled C++. You can take control of streamlining your workflow.
Leave the Heavy Lifting to Fabric Engine
Programmers will appreciate the heavy lifting done by the Fabric Core, which provides easy-to-use, high-level primitives for task- and data-based parallelism. Instrumentation methods start and stop collection of data to help you profile time spent in user code (KL operators), the Fabric Core or external to Fabric.
Leverage ALL the Power
You don’t need to master CUDA or OpenCL to take advantage of the massive performance potential available with modern GPUs. KL code runs without modification on CUDA GPUs. This means that many more tools can be GPU accelerated, as the cost and risk of doing so is near zero. The tool is simply run on either the CPU or the GPU, depending on which offers the highest performance for a particular tool.
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