面向大规模组合优化问题的全同步9板x 9片x 16kbit退火处理器1.3 mbit退火系统

Kasho Yamamoto, Takashi Takemoto, C. Yoshimura, Mayumi Mashimo, M. Yamaoka
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引用次数: 4

摘要

组合优化问题被归类为np困难问题,在物流、交通等日益增长的社会系统中不断出现。一种新的计算机体系结构,称为退火处理器(AP)[1-4],已经作为计算系统中的加速器,有效地解决了这些难题。一种特殊类型的AP通过高度并行化基于模拟退火(SA)的自旋状态更新过程,在短时间内发现Ising模型的基态(变量、自旋的最佳组合)[2-4]。我们已经构建了带有9个AP芯片相互连接的电路板[5]。为了使退火系统真正投入使用,有必要提供更大规模的退火系统。针对现实世界中数据量不断增加的优化问题,在多芯片退火系统之外,构建了一个简单的多板控制的多板退火系统(AS)。为了实现这样的系统,有必要采用连接到PC机的主机板控制其他从板的方法,而不是单独控制每一块从板。我们的CMOS-AS由三种技术组成:(i)控制板间通信的路由表,(ii)在每个芯片上同步退火过程的技术,以及(iii)在数据传输量有限的板间通信中有效传播自旋信息的压缩技术。CMOS-AS作为9x9x16k自旋系统组合优化问题和多板操作的降噪示例,其退火速度比在CPU上运行SG3和SA至少快三个数量级,精度更高,这是解决优化问题的传统技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 1.3-Mbit Annealing System Composed of Fully-Synchronized 9-board x 9-chip x 16-kbit Annealing Processor Chips for Large-Scale Combinatorial Optimization Problems
Combinatorial optimization problems, which are categorized into NP-hard problems, are emerging in ever-growing social systems, such as logistics, traffic, and so on. A new computer architecture, called an annealing processor (AP) [1–4], has advanced to solve such difficult problems efficiently as an accelerator in the computing systems. A specific type of AP discovers the ground state (optimal combination of variables, spins) of an Ising model in a short time by highly parallelizing the spin state update process based on simulated annealing (SA) [2–4]. We have built boards with nine AP chips connected to each other [5]. To lunch the annealing systems for real usage, it is necessary to provide a larger-scale annealing system. We built a multiple-board annealing system (AS) with a simple multi-board control beyond the multi-chip AS for the increasing amount of data in the real-world optimization problems. In order to realize such system, it is necessary to adopt a method in which the host board connected to the PC controls the other slave boards, rather than controlling each board individually. Our CMOS-AS consists of three technologies: (i) a routing table to control communication between boards, (ii) a technology to synchronize the annealing process on each chip, and (iii) a compression technology for efficient propagation of spin information in inter-board communication where data transmission amount is limited. The CMOS-AS demonstrated noise reduction as an example of combinatorial optimization problems and multi-board operation of the 9x9x16k spin system with an annealing speed at least three orders of magnitude faster and higher accuracy than running the SG3 and SA on a CPU, conventional technologies to solve optimization problems.
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