片上全息算法,非布尔计算

G. Csaba, Á. Papp, W. Porod
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引用次数: 3

摘要

人们普遍认为,微电子缩放的既定路线即将结束:半导体器件的进一步缩小会带来不成比例的功耗损失,并带来根本性的制造挑战。摩尔定律现在越来越多地与计算系统的扩展有关,而不是设备的扩展:单核设备向更大的多核系统发展。虽然有一些已知的编程方法可以将程序代码并行化到几个线程中,但只有极少数特殊用途的应用程序可以在非常多的内核上并行化。这激发了我们对研究本质上并行的计算范式和算法的追求[1]。全息/光学计算是这种算法的一个完美例子:计算的结果是由许多光线的干涉图案形成的(见图1的插图[1])。光学系统在片上实现是不切实际的。因此,我们探索设计可以与微电子技术自然集成且不需要光学硬件的全息算法的路线。本文将讨论两种方法。
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Holographic algorithms for on-chip, non-boolean computing
It is widely believed that the established route of microelectronic scaling is approaching its end: further downscaling of semiconductor devices carries disproportionate penalties in power consumption and poses fundamental fabrication challenges. Instead of scaling of devices, Moore's law is now increasingly about scaling computing systems: single-core devices toward larger, multi-core systems. While there are known programming methodologies for parallelizing program codes to a few threads, only very few, special-purpose applications lend themselves to parallelization on very large numbers of cores. This motivates our quest for studying computing paradigms and algorithms that are inherently parallel [1]. Holographic / optical computing is a perfect example of such algorithms: the results of a computation are given by an interference pattern formation of many light rays (see Fig. 1 for an illustration [1]). Optical systems are impractical to realize on-chip. For this reason, we explore routes to design holographic algorithms that can be naturally integrated with microelectronic technologies and require no optical hardware. Two approaches will be discussed in this paper.
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