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IntelŽ oneAPI Base & Rendering Toolkit (Multi-Node) - Commercial 2 Concurrent User, Max 10 Developers Supported for 3 Years (ESD) - Part ID: ARM999OCGE10X3Z

SKU: ARM999OCGE10X3Z
Manufacturer: Intel
Product with Maintenance/Support for 3 Years More details...
Price: $25,099.00
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IntelŽ oneAPI Base & Rendering Toolkit (Multi-Node) - Commercial 2 Concurrent User, Max 10 Developers Supported for 3 Years (ESD) - Part ID: ARM999OCGE10X3Z
IntelŽ oneAPI Base & Rendering Toolkit (Multi-Node) - Commercial 2 Concurrent User, Max 10 Developers Supported for 3 Years (ESD) - Part ID: ARM999OCGE10X3Z
 
Product Details
IntelŽ oneAPI Toolkits

IntelŽ oneAPI products deliver the freedom to develop with a unified toolset and to deploy applications and solutions across CPU, GPU, and FPGA architectures. Native code toolkits implement oneAPI industry specifications and primarily focus on Data Parallel C++ (DPC++), C++, C and Fortran code development. Data science and AI toolkits support machine learning and deep learning developers who primarily use Python* and AI frameworks.

Native Code Toolkits

IntelŽ oneAPI Base Toolkit
  • This foundational base toolkit enables the building, testing, and optimizing of data-centric applications across XPUs.

IntelŽ oneAPI HPC Toolkit
IntelŽ oneAPI IoT Toolkit
IntelŽ oneAPI Rendering Toolkit
  • Toolkits include the new DPC++ programming language, as well as familiar C, C++, and Fortran languages.
  • Domain-specific toolkits support specialized workloads.

IntelŽ oneAPI Rendering Toolkit

Photorealistic Rendering That Scales
The IntelŽ oneAPI Rendering Toolkit is designed to accelerate these types of workloads with a set of rendering and ray-tracing libraries to create high-performance, high-fidelity visual experiences. With the libraries, get the most from powerful IntelŽ hardware by optimizing CPU and future X e or GPU rendering performance at any scale. Creators, scientists, and engineers can push the boundaries of visualization by using the toolkit to develop amazing studio animation and visual effects or to create scientific and industrial visualizations.

The libraries and advanced components of the Render Kit are industry-trusted building blocks, which are integrated into many third-party professional content creation tools and applications for broader ecosystem use. These building blocks include, but are not limited to, V-Ray and Corona Renderer (Chaos Group), Paraview (Kitware), Cinema4D (Maxon), AutoCAD, 3DSMax, Revit (Autodesk) Dreamwork’s Moonray Renderer, Framestore Freak Renderer and EA Frostbite Game Engine.

Applications include:
  • Digital content creation
  • Professional rendering
  • Animation
  • Computer-aided design, architectural engineering
  • Scientific visualization
  • Gaming VR and AR

This toolkit is an add-on to the IntelŽ oneAPI Base Toolkit, which is required for full functionality.


Features

Software Visualization Tools
Take advantage of IntelŽ-optimized software, general purpose IntelŽ processors, and future Xe architecture devices to deliver high-fidelity, high-performance, and efficient visual applications with tools that provide:
  • Efficient deployment across parallel processing architectures and platforms
  • Access to all system memory space for even the largest data sets
  • Improved visual fidelity via ray tracing with global illumination
  • Cost-efficient, interactive performance for any data size
  • High-performance, deep learning-based denoising


What's Included

Improve the performance of photo-realistic rendering applications with this library of ray-tracing kernels. The kernels are optimized for the latest IntelŽ processors with support for IntelŽ Streaming SIMD Extensions [4.2] through to the latest IntelŽ Advanced Vector Extensions 512.

Enable rendering and simulation processing of 3D spatial data with low-level volumetric data-processing algorithms.

Improve image quality with machine learning algorithms that selectively filter visual noise. This independent component can be used for noise reduction on 3D rendered images, with or without Intel Embree.

Use this OpenGL-compatible software rasterizer to work with datasets when GPU hardware isn’t available or is limiting. This CPU-based product runs on laptops, workstations, and compute nodes in high-performance computing (HPC) systems.

Note: IntelŽ OpenSWR is available as part of the Mesa OpenGL open source community project at www.mesa3d.org.

Use this ray-tracing API and engine to rapidly develop interactive, high-fidelity, visualization applications.

Perform high-fidelity, ray traced, interactive, and real-time rendering through a graphical user interface with this new scene graph application addition to Intel OSPRay.

Connect the Intel oneAPI Rendering Toolkit libraries in your application to the universal scene description (USD) Hydra rendering subsystem by using the IntelŽ OSPRay for Hydra* plug-in. This plug-in enables fast preview exploration for compositing and animation, as well as high-quality, physically based photorealistic rendering of USD content.


Key Specifications

Processors:
  • IntelŽ Core™ processor
  • Intel AtomŽ processor
  • IntelŽ XeonŽ processors
Note: These processors must support IntelŽ Streaming SIMD Extensions 4.2 [4.1 for Intel Open Image Denoise].

Host & Target operating systems:
  • Windows*
  • Linux*
  • macOS*
Compiler:
  • IntelŽ Implicit SPMD Program Compiler (IntelŽ ISPC)
    • Supports runtime code selection that provides the best path for end users' applications
    • Automatically vectorizes and leverages IntelŽ Streaming SIMD Extensions, IntelŽ Advanced Vector Extensions, IntelŽ Advanced Vector Extensions 2, and IntelŽ Advanced Vector Extensions 512 instructions
Binary runtime dependencies:
  • Intel Embree requires IntelŽ 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 windows execution
Note: This library would typically already be installed in your Windows environment.



IntelŽ oneAPI Toolkits Comparison


INTELŽ ONEAPI BASE TOOLKITINTELŽ ONEAPI BASE & HPC TOOLKITINTELŽ ONEAPI BASE & IOT TOOLKITINTELŽ ONEAPI BASE & RENDERING TOOLKIT
IntelŽ oneAPI Collective Communications Library
IntelŽ oneAPI Data Analytics Library
IntelŽ oneAPI DPC++/C++ Compiler
IntelŽ oneAPI DPC++ Library
IntelŽ oneAPI Deep Neural Network Library
IntelŽ oneAPI Math Kernel Library
IntelŽ oneAPI Threading Building Blocks
IntelŽ oneAPI Video Processing Library
IntelŽ oneAPI Data Analytics Library
IntelŽ Intel Advisor (viewer only)
IntelŽ Distribution for Python*
IntelŽ DPC++ Compatibility Tool
IntelŽ Integrated Performance Primitives
IntelŽ VTuneTM Profiler
IntelŽ VTuneTM Profiler (viewer only)
IntelŽ FPGA Add-On for oneAPI Base Toolkit(Beta) (Optional)
IntelŽ Distribution for GDB*
IntelŽ C++ Compiler Classic

IntelŽ Cluster Checker


IntelŽ Fortran Compiler (Beta)


IntelŽ Fortran Compiler Classic


IntelŽ Inspector

IntelŽ MPI Library


IntelŽ Trace Analyzer and Collector


EclipseŽ IDE


IoT Connection Tools


LinuxŽ Kernel Build Tools


IntelŽ Embree


IntelŽ OSPRay


IntelŽ Open Volume Kernel Library (IntelŽ Open VKL)


IntelŽ Open Image Denoise


IntelŽ OpenSWR





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