It is important to extend the application of LS SIMD computer in non -numeric computation area.
该研究对于扩展LSSIMD计算机在非数值计算方面的应用有着十分重要的实际意义。
This paper proposes a novel parallel algorithm for template matching of image division block based on a K-ary 2-cube network SIMD computer.
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。
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.
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。
Parallel computer architecture consists of two classifications: simple instruction stream-multiple data stream (SIMD) and multiple instruction stream-multiple data stream (MIMD).
并行计算机体系结构包括单指令流多数据流(SIMD)和多指令流多数据流(MIMD)两种结构。
Parallel computer architecture consists of two classifications: simple instruction stream-multiple data stream (SIMD) and multiple instruction stream-multiple data stream (MIMD).
并行计算机体系结构包括单指令流多数据流(SIMD)和多指令流多数据流(MIMD)两种结构。
应用推荐