State-of-the-art of the wafer scale ELSA project

A. Boubekeur, J. Patry, G. Saucier, J. Trilhe
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Abstract

ELSA project concerns massively parallel architectures on silicon dedicated especially to low-level image processing. Real-time low-level image processing demands a huge amount of computing power. Fortunately, the algorithms encountered in this field are naturally regular which suggests a regular architecture to solve them. One of the most efficient scheme is array processors. This array processor has been implemented on a whole wafer instead of implementing it in VLSI chips each containing a few processing elements. Potential advantages of wafer scale integration over conventional VLSI systems include lower power, higher speed and small volume. However, WSI suffers from low yield. Redundancy and reconfiguration techniques are used to enhance the overall yield. Both of these have been implemented in ELSA. Three software packages have been developed to completely (re)configure the wafer and build a working target array.<>
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最先进的晶圆级ELSA项目
ELSA项目关注的是专门用于低级图像处理的硅上的大规模并行架构。实时的底层图像处理需要大量的计算能力。幸运的是,在这个领域遇到的算法是自然规则的,这就建议了一个规则的架构来解决它们。最有效的方案之一是数组处理器。该阵列处理器已在整个晶圆上实现,而不是在每个包含几个处理元件的VLSI芯片上实现。相对于传统的超大规模集成电路系统,晶圆级集成的潜在优势包括更低的功耗、更高的速度和更小的体积。然而,WSI的收益较低。采用冗余和重构技术来提高整体成品率。这两种方法都在ELSA中实现了。已经开发了三个软件包来完全(重新)配置晶圆并构建工作目标阵列。
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