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intel sse4 programming reference
- 本文档介绍了Intel SSE4 CHAPTER 1 STREAMING SIMD EXTENSIONS 4 CHAPTER 2 SSE4 FEATURES CHAPTER 3 APPLICATION PROGRAMMING MODEL CHAPTER 4 SYSTEM PROGRAMMING MODEL
SOA Cloth Simulation with 256-bit Intel Advanced Vector Extensions (Intel AVX)
- This article describes a code sample that uses the Intel® Advanced Vector Extensions (Intel® AVX) for computing mesh-based cloth simulation. A structure of arrays (SOA) implementation is used to maximize data parallelism enabling the usage of 256-bit
SIMD_Audio_optimization
- 基于嵌入式SIMD处理器的音频解码优化,很不错，值得一读-SIMD processor based on embedded audio decoder optimization
ADSP-21262
- High performance 32-bit/40-bit floating-point processor Code compatibility—at assembly level, uses the same instruction set as other SHARC DSPs Single-instruction multiple-data (SIMD) computational architecture— two 32-bit IEEE floating-point
motion-estimation-sse4
- Intel® SSE4 is a new set of Single Instruction Multiple Data (SIMD) instructions that will be introduced in the 45nm Next Generation Intel® Core™ 2 processor family (Penryn) and improve the performance and energy efficiency of a broad r
C6000-Intrinsics-a-SIMDs
- SIMD（Single Instruction Multiple Data）是指单指令多数据的运算 方式，这种技术可以使一条指令同时应用于多个数据集，这种处理方式显然在对不同数据集进行同一操作时非常有用，一个简单的例子就是，我们需要把平面空间的圆转换成3D空间的圆（由多个三角形构成），这其中需要大量的三角形计算，并且其中的多个三角形运算都是一些重复性运算，使用浮点SIMD指令显然就可以通过名为衍生计算的算法加快整个运算完成的速度，而在原来如果仅通过FPU浮点单元运算的话，所有数据都需
Massively-Parallel-Approach-to-Pattern-Recognitio
- Template matching is concerned with measuring the similarity between patterns of two objects. This paper proposes a massively parallel approach to pattern recognition with a large template set. A class of image recognition problems inherently
150130-Jiabing_Gao-with-cover
- Design and implementation of LTE-A and 5G kernel algorithms on SIMD vector processor
SIMD自动向量化编译优化概述_高伟
- SIMD 扩展部件是集成到通用处理器中的加速部件,旨在发掘多媒体程序和科学计算程序的数据级并 行.首先介绍 SIMD 扩展部件的背景和研究现状,然后从发掘方法、数据布局、多平台向量化这 3 个角度介绍了 SIMD 自动向量化的研究问题、困难和最新研究成果,最后展望了 SIMD 编译优化未来的研究方向. 关键词: SIMD 扩展部件;自动向量化;数据级并行;编译优化