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Calling Intel® IPP in VS *(Microsoft Visual Studio *)

Calling Intel IPP in Microsoft Visual Studio ( In this article, we used VS 2013 )
Автор: админ Последнее обновление: 31.07.2019 - 14:30
Блоги

BKMs on the Use of the SIMD Directive

We had an ask from one of the various "Birds of a Feather" meetings Intel® holds at venues such as at the Super Computing* (SC) and International Super Computing* (ISC) conferences.

Автор: Последнее обновление: 15.10.2019 - 17:45
Article

Bitrate Control Methods (BRC) in Intel® Media SDK

Introduction
Автор: Surbhi M. (Intel) Последнее обновление: 03.07.2019 - 20:00
Блоги

Archived - Tips and Tricks to use Unity* with the Intel® RealSense™ SDK 2014

Some tips, tricks, and suggestions for using Unity with the Intel® RealSense SDK 2014.
Автор: Последнее обновление: 18.01.2019 - 16:40
Article

Using SPIR for fun and profit with Intel® OpenCL™ Code Builder

This short tutorial provides a brief introduction to Khronos SPIR. It touches on the differences between a SPIR binary and an Intel proprietary Intermediate Binary, demonstrates ways to create SPIR binaries using tools shipped with Intel® SDK for OpenCL™ Applications , and explains how to use SPIR binaries in your OpenCL program.
Автор: Robert Ioffe (Intel) Последнее обновление: 31.05.2019 - 14:20
Article

Introducing Batch GEMM Operations

The general matrix-matrix multiplication (GEMM) is a fundamental operation in most scientific, engineering, and data applications. There is an everlasting desire to make this operation run faster.

Автор: Fiona Z. (Intel) Последнее обновление: 30.05.2018 - 07:00
Article

SGEMM for Intel® Processor Graphics

Introduction

General Matrix Multiply

cl_intel_subgroups Extension

Автор: Последнее обновление: 17.05.2019 - 12:00
Article

High Performance Image Processing Solution with Intel® Platform Technology

High Performance Image Processing Solution with Intel® Platform Technology

 

Автор: Yang Lu (Intel) Последнее обновление: 13.12.2018 - 14:26
Article

A Tutorial on the C++ API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.
Автор: Zhang, Zhang (Intel) Последнее обновление: 27.08.2019 - 13:50
Article

Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
Автор: Последнее обновление: 12.12.2018 - 18:00