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联合SIMD结算的各个结果到一个标量返回值上。Consolidate the values calculated using SIMD into a single scalar return value.

文章介绍了一种新的嵌入式SIMD协处理器地址产生器。A new address generator of the embeded SIMD coprocessor is introduced in this paper.

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数据处理单元是结构的核心，采用VLIW加SIMD向量结构。The data processing unit using VLIW and SIMD vector structure is the key of the architecture.

提出了一套完整的支持SIMD指令的代码选择技术的实现框架。A whole implementation framework of code selection which is support of SIMD has been advanced.

这种优化和传统的针对向量处理器的自动向量化非常类似。SIMD optimization is very similar to traditional automatic vectorization for vector processors.

论文介绍的SIMD协处理器是用于低层图像理解的16位定点嵌入式阵列处理器。A novel16fixed point embedded SIMD array coprocessor which is used to solve low image comprehension is described in the paper.

针对SIMD计算机上的数字图像的几何变换问题，提出了一个新颖的基于阵列平移的数据并行实现方法。This paper discusses the geometric operations on SIMD computer, proposes a novel data parallel algorithm based on PE-array shift.

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此外还提供了并行指令和SIMD指令，使得处理器具有强大的媒体处理能力。Further more, parallel instructions and SIMD instructions are provided to give the processor strong capability of media processing.

二维SIMD结构是在嵌入式系统中提高多媒体处理能力的有效系统结构。Two-dimensional SIMD architecture is widely used in the field of embedded system to boost the performance of multimedia processing.

虽然诸如SIMD支持等特性是向后兼容于.NET的，但运行时支持的continuations却是Mono所独有的。While some features such as SIMD support are backwards-compatible with .NET, runtime supported continuations are exclusive to Mono.

该文提出了一种新颖的在基于K元2-立方体网络的SIMD计算机上运行的图像分块模板匹配并行算法。This paper proposes a novel parallel algorithm for template matching of image division block based on a K-ary 2-cube network SIMD computer.

这主要是由多媒体处理的数据访问的灵活性和SIMD技术对算法的规整性的高度依赖性所导致。This is mainly because the flexibility of the data access in multimedia processing and the high dependence of the SIMD technology upon the algorithm regularity.

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该框架使得代码选择面向基本块，而不再是语句，扩大了指令注释的搜索空间，产生了SIMD指令。The framework makes code selection not face single statement but a basic block. , expanded the searching space of code selection generated the instructions of SIMD.

为了减少传统SIMD多媒体扩展体系存在的数据置换时间开销，该文提出了一种新的多媒体扩展体系。A novel multimedia extension architecture was proposed to reduce the time overhead of data permutation caused by conventional SIMD multimedia extension architecture.

该设计提出了一种将常用的并行SIMD结构与流水线MISD结构相结合的新颖并行视频处理体系结构形式。In this process, a unique parallel video processing architecture combined with SIMD and pipeline MISD is proposed. Modules within the coprocessor are designed individually.

SIMD处理机特别适合于要求大量高速向量或矩阵计算的场合，数据缓存系统和对准网络是它的关键部件。SIMD computer is mostly suitable for high-speed calculation of vectors, and matrix of a large quantity, and image convolution is the most important technology of image processing.

过去，成功的SIMD和MIMD并行处理机通常是指用于科学处理应用或实时信号处理应用的专用计算机。In the past, successful SIMD and MIMD parallel processors were often special-purpose machines dedicated to a single class of scientific or real-time single processing applications.

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从程序结构和程序运行的观点出发，清楚地给出了SIMD，MIMD并行性的形式定义，它是提取程序异构性的依据。From the point of view of program structure and program running, the formal definitions about SIMD and MIMD parallelism are presented clearly, which are criteria of extracting program heterogeneity.