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Last Updated: 09/27/2021
Provides instructions about how to run samples and explore the next guide after installing the Intel® oneAPI Video Processing Library.
Last Updated: 09/24/2021
Intel* Graphics Performance Analyzers (GPA) 2020.3 release.
Last Updated: 09/23/2021
This issue covers everything from low-level performance tuning in Data Parallel C++ to simple but effective tricks that boost AI performance.
Get a detailed look at how running DPC++ kernels are ordered relative to each other so you can avoid data corruption and hard-to-find bugs.
This article contains the online version of the Release Notes for the Intel® Graphics Performance Analyzers (Intel® GPA). You'll find system requirements, installation instructions, issues and limitations, and legal information for the product.
Last Updated: 09/22/2021
In this paper, we propose multi-pass lazy build (MPLB), an algorithm for real-time ray tracing that resolves this problem with an extended programming model called traversal shader
Integrate video decode on multiple streams with video analytics. Configure your application end-to-end with flexible AI capacity and a Reference Video Analytics pipeline for fast development.
Get an overview of Data Parallel C++ (DPC++), an open, standards-based, cross-architecture language that simplifies heterogeneous programming.
MASSé is an inclusive design that reduces application burdens and encourages investments in new storage technologies.
The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
This tutorial with code examples is an Intel® oneAPI DPC++ Compiler implementation of a three-dimensional finite-difference stencil that solves the 3D acoustic isotropic wave-equation.