# How to Vectorize Code Using Intrinsics on 32-Bit Intel® Architecture

### Challenge

Vectorize code by means of intrinsics. Intrinsics provide the access to the ISA functionality using C/C++ style coding instead of assembly language. Consider the following simple loop:

 ```void add(float *a, float *b, float *c) { int i; for (i = 0; i < 4; i++) { c[i] = a[i] + b[i]; } } ```

• Intel AppUp® Developer
• Intel® Pentium® Prozessoren
• # How to Vectorize Code Using C/C++ Classes on 32-Bit Intel® Architecture

### Challenge

Vectorize code by means of C++ vector classes. Consider the following simple loop:

 ```void add(float *a, float *b, float *c) { int i; for (i = 0; i < 4; i++) { c[i] = a[i] + b[i]; } } ```

• Intel® Pentium® Prozessoren
• # How to Vectorize Code Automatically on 32-Bit Intel® Architecture

### Challenge

Vectorize code automatically. Consider the following simple loop:

 ```void add(float *a, float *b, float *c) { int i; for (i = 0; i < 4; i++) { c[i] = a[i] + b[i]; } } ```

• Compiler
• Intel® Pentium® Prozessoren
• # Optimizing Vertex Linear Interpolation with Intel® Pentium® III and Pentium® 4 Processors

### Introduction

Increasing processor speeds have led to the introduction of more complex algorithms that provide games with a more dynamic player environment, resulting in a decline in the use of vertex linear interpolation for animations. Additionally, vertex processing in hardware is increasingly minimizing the need for software interpolation. However, most users do not have hardware vertex processors, so it's important to optimize your software interpolation to support this gaming segment.

• visual computing
• Spieleentwicklung
• Grafik
• Intel® Pentium® Prozessoren
• # How to Vectorize Code on 32-Bit Intel® Architecture

### Challenge

Vectorize code for greater performance. The SIMD features of Streaming SIMD Extensions (SSE), Streaming SIMD Extensions 2 (SSE2) and MMX™ technology require new methods of coding algorithms. One of them is vectorization. Vectorization is the process of transforming sequentially executing, or scalar, code into code that can execute in parallel, taking advantage of the SIMD architecture parallelism.

• SSE2
• Intel® Pentium® Prozessoren
• # Developing for Speed: A Four-Step Approach

by George Walsh

### Introduction

There's really no denying that application optimization yields performance benefits. The question in each case is whether time spent optimizing and resulting performance gains is worth the development time, effort and cost. As part of his work with the Intel® software team Eric Palmer works closely with ISVs, helping to boost performance of their applications. Palmer has developed a four-step approach--it works for him, and it will work for your applications too.

• Entwickler
• Server
• Intel® Pentium® Prozessoren
• Optimierung
• # Using htmobile Library Functions to Discover Processor Information

### Introduction

The htmobile library provides a convenient means to retrieve feature and identification data to improve application performance.

The variety of hardware platforms currently available requires applications to have access to increasingly large amounts of hardware information in order to run efficiently.

• Entwickler
• Intel® Pentium® Prozessoren
• Mobilität