Rendering is a computationally demanding task, involving calculations for many millions of rays as they travel through the scene and interact with the materials on every surface..Corona Renderer uses Embree ray tracing kernels to carry out the intensive computations necessary in rendering.
This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
New features and enhancements available in the second generation Intel® Xeon® processor Scalable family and how developers can take advantage of them
Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
In this demo we are showcasing the use of Intel® Xeon Phi™ processor, to do a 3D visualization of tumor in a human brain.
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
A number of usage models are possible given the flexible interfaces provided by the Cache Allocation Technology (CAT) feature, including prioritization of important applications and isolation of applications to reduce interference.