Parallel holographic image calculation and compression

D. M. Newman, D. Goeckel, R. D. Crawford, S. Abraham
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Abstract

The authors describe the parallel implementation of an algorithm suitable for hologram creation on a 16384 processor SIMD (single-instruction multiple-data) MasPar machine. When computing an image of typical complexity, the parallel implementation sacrifices up to 11% efficiency in data compression to gain a performance up to 250 times greater than that achieved on a uniprocessor workstation. The MasPar can achieve pattern generation more than 750 times faster than the fully optimized Sparc C code.<>
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并行全息图像的计算和压缩
本文描述了一种适用于全息图生成的算法在16384处理器SIMD(单指令多数据)MasPar机上的并行实现。当计算典型复杂性的图像时,并行实现在数据压缩方面牺牲高达11%的效率,以获得比单处理器工作站高250倍的性能。MasPar的模式生成速度比完全优化的Sparc代码快750倍以上。
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