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Article

Understanding Memory Access Characteristics of Motion Estimation Algorithms

Introduction

By Alex A. Lopez-EstradaApplications Engineer, Intel Software and Solutions Group

Автор: Alex Lopez-estrada (Intel) Последнее обновление: 24.01.2018 - 12:12
Article

Creating a Particle System with Streaming SIMD Extensions

by William Damon

Автор: Последнее обновление: 08.02.2019 - 11:01
Article

Optimizing the Rendering Pipeline of Animated Models Using the Intel Streaming SIMD Extensions

This article provides an overview of an improved SIMD optimized rendering pipeline of animated models.
Автор: админ Последнее обновление: 03.05.2019 - 14:39
Article

Fast Color Conversion Using Streaming SIMD Extensions and MMXT Technology

Datatype color conversions are a common requirement in 3-D application pipelines.

Автор: админ Последнее обновление: 24.01.2018 - 12:12
Article

Reducing the Impact of Misaligned Memory Accesses

Introduction
Автор: Последнее обновление: 07.06.2017 - 09:24
Article

Motion Estimation Algorithms Using Streaming SIMD Extensions 3

Introduction
Автор: админ Последнее обновление: 24.01.2018 - 12:12
Блоги

Building a highly scalable 3D particle system

Particle systems are an ideal candidate for multi-threading in games. Most games have particle systems and their general nature of independent entities lends well to parallelism.

Автор: Последнее обновление: 24.01.2018 - 12:12
Article

How Special Silicon Facilitates Parallel Arithmetic

SIMD (for single instruction, multiple data) enables one arithmetic instruction to be performed across multiple data items simultaneously. This article lightly touches on the advantages of SIMD for parallel applications.
Автор: Последнее обновление: 24.01.2018 - 12:12
Article

Benefits of Intel® AVX For Small Matrices

Introduction

Автор: Pallavi Mehrotra (Intel) Последнее обновление: 07.06.2017 - 09:20
Article

Using Intel® Streaming SIMD Extensions and Intel® Integrated Performance Primitives to Accelerate Algorithms

This paper examines how to use Intel® SSE to accelerate an image processing application, how to take advantage of it using compiler directives for optimal SIMD code generation, and how to employ Intel® IPP to fully exploit SIMD acceleration.
Автор: админ Последнее обновление: 31.07.2019 - 15:00