Rendering Libraries from Intel

Powerful Libraries for High-Fidelity Rendering and Visualization Applications

  

  

Photorealistic Rendering That Scales

Create images using a powerful set of open source rendering, ray tracing, denoising, and path guiding libraries for AI synthetic data generation, digital twins, high-fidelity and high-performance visualization, and immersive content creation. Achieve optimized rendering performance with these libraries and Intel® CPU and GPU hardware, comprising a scalable solutions stack.

Who needs these products?

  • AI, robotics, and autonomous vehicle developers who rely on synthetic data generation for simulation and perception.
  • Machine learning and deep learning applications that rely on synthetic data to represent any situation, validate mathematical models, or train machine learning models.
  • Research scientists who use in-situation simulation or require the highest fidelity images in an HPC distributed rendering solution capable of handling multi-terabyte-sized datasets.
  • Creators, developers, and artists who need to create immersive experiences and who would benefit from a unified workflow that scales from workstation to rendering farm.
  • Product designers and engineers who use accurate digital twins in product life cycle management.

The Intel® oneAPI DPC++/C++ Compiler and Intel® oneAPI DPC++ Library, which are part of the Intel® oneAPI Base Toolkit, are required for full Intel CPU and GPU cross-platform functionality. The Intel oneAPI DPC++/C++ Compiler implements SYCL*, an evolution of C++ for heterogeneous computing. 

Get the Intel® oneAPI DPC++/C++ Compiler

 

  

Features

  • Efficient deployment across parallel processing architectures and platforms including Intel GPUs
  • Access to all system memory space for even the largest datasets on CPUs
  • Improved visual fidelity via ray tracing with global illumination
  • Cost-efficient, interactive performance for any data size
  • High-performance AI, deep learning-based denoising
  • These award-winning tools are integrated into many professional content creation tools, including V-Ray* and Corona* Renderer (Chaos Group*), ParaView* (Kitware*), Cinema 4D* (Maxon), AutoCAD*, 3ds Max*, Revit* (Autodesk*), Blender*, and MoonRay* renderer (DreamWorks*). 

Customer Testimonials

“We found Intel Embree ray tracing kernels to be the best efficient alternative to our legacy code to improve the performance.  This drastically improved multithreaded and vectorization capabilities that reduced our rendering time helping Illumination Mac Guff and increased the quality and richness of our images.”

– Xavier Bec, head of research and development, Illumination Animation

“By working with Intel . . . we’ve been able to leverage and take advantage of its open source platform. This has meant we have been able to rapidly research and develop proof of concepts that focus on cost-efficient methods for the creation [of] rendered images and user experiences for the future.”

– Paul Chapman, virtual media manager, Bentley Motors Limited

Video [2:31]

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"V-Ray* is the industry’s gold standard for ray traced rendering and Intel has been there for us from the beginning with high-performance multicore processors and optimization software. We’re now delivering on-demand rendering with Chaos Cloud where Intel continues to provide the scalability that we count on."

— Phillip Miller, vice president of product management, Chaos Group

Case Study

"On the recently released Modo* 14.1, our customers are reporting amazing rendering performance with Intel Embree ray tracing library and Intel Open Image Denoise that previously would have only been available through high-end GPUs. This really packs a one-two punch to those costly render times on CPU hardware that all our users can appreciate."

– Shane Griffith, director of product-digital design, Foundry

Video [6:00]

"KeyShot integrates Intel Open Image Denoise for one-click, high-performance image denoising with results that are simply incredible. Through this technology, KeyShot's reputation for speed and quality is complemented with a level of noise reduction and feature preservation that aids the visualization process and accelerates the product delivery cycle.”

– Derek Cicero, Vice President of Products, Luxion (Makers of KeyShot)

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"Visualization is the key to better simulations. So, by visualizing the data in real time, we get faster development timescales, as well as much better insight."

— Dr. Paul Shellard, professor of cosmology and director of the Stephen Hawking Centre for Theoretical Cosmology at the University of Cambridge

Case Study

"Atipa and Intel’s infrastructure make it possible to train the next generation of visualization experts with advanced tools and [the] software infrastructure they will encounter in most advanced industry settings."

— Michael E. Papka, professor of computer science, Northern Illinois University (NIU) 

Case Study

“. . . our long standing collaboration to help us deliver Professional Visualization that enables the wide availability of high fidelity and interactive visualization for many more users."

— Dr. Paul Navratil, director of visualization, Texas Advanced Computing Center (TACC)

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The Rendering Libraries in Action

SuperMUC-NG Enables Innovative Science with Best Scientific Visualization

See how the SuperMUC-NG computer uses rendering libraries to deliver groundbreaking visualization results.

Cinema 4D* Improves Computer Graphics Workflows with AI-Trained Denoising

Learn how Intel and Maxon are expanding what’s possible in the field of 3D art and animation by including Intel Open Image Denoise libraries.

Advances in CGI & Ray Tracing Revolutionize Animating 3D Model Images

Chaos Group* uses the Intel® Visual Cloud Development Platform and rendering libraries to provide reliable, flexible rendering services. They have scaled small projects and produced large-scale visual effects for Avengers: Infinity War* and Game of Thrones*.

Chaos Corona* Renderer Uses Intel Embree Ray Tracing Kernels

Chaos Corona* calls them the fastest CPU ray tracing primitives on the market. Since they mesh well with the Corona architecture, the kernels are an important factor for its performance.

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Webinar: The Power of the Image: Create High-Performance Visualization Solutions with Minimal Complexity

[64:09]

Rendering 101: Graphics, Visualization & Rendering

[11:09]

Rendering 201: Rasterization, Ray Tracing & Rendering Libraries

[11:28]

A Primer: Graphics, Rendering & Visualization

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Specifications

Review each library open source website for complete build dependencies.

Processors:

Note These processors must support Intel® Streaming SIMD Extensions 4.2 [4.1 for Intel Open Image Denoise].

 

Intel GPUs:

 

Host & target operating systems:

  • Windows*
  • Linux*
  • macOS*

Compilers:

  • Intel® oneAPI DPC++/C++ Compiler (CPU/GPU)
    Included in Intel oneAPI Base Toolkit
    • Compile and optimize ISO C++ and SYCL (from the Khronos* Group)
    • Reuse code across hardware targets, including CPU and GPU target architectures.
    • Avoid proprietary lock-in with a cross-industry, open, standards-based unified programming model. 

 

  • Intel ISPC (CPU)
    • Supports runtime code selection that provides the best path for end users' applications
    • Automatically vectorizes and uses Intel Streaming SIMD Extensions, Intel® Advanced Vector Extensions, Intel® Advanced Vector Extensions 2, and Intel Advanced Vector Extensions 512 instructions

Binary runtime dependencies:

  • Intel Embree requires Intel® Threading Building Blocks
  • Intel OSPRay requires Intel Embree
  • Intel OSPRay 2.0+ and later requires Intel Open Volume Kernel Library and Intel Open Image Denoise

 

Third-party software:

  • Microsoft Visual C++* (as MSVCP140.dll) is required for running on Windows

Note This library would typically already be installed in your Windows environment.

For more information, see the system requirements.

Get Help

Your success is our success. Access these forum and GitHub resources when you need assistance.

 

For additional help, see our general Support.