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Ampere-Maxwell's Law: Problem-Solving01:17

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铁电计算内存炉用于组合优化问题.

Xunzhao Yin1,2, Yu Qian1, Alptekin Vardar3

  • 1Zhejiang University, Hangzhou, China.

Nature communications
|March 19, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了一种新的铁电场效应晶体管 (FeFET) 计算内存 (CiM) 炉,用于解决复杂的组合优化问题 (COP). 这种创新方法加速了计算,并大大降低了芯片大小,为大规模问题解决提供了有前途的解决方案.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机工程 计算机工程
  • 计算科学 计算科学

背景情况:

  • 组合优化问题 (COP) 很普遍,但在计算上具有挑战性.
  • 现有的解决方案,如数字化器和量子系统,在可扩展性,内存访问性和适用性方面面临限制.
  • 对于COP来说,需要高效,可扩展的硬件解决方案.

研究的目的:

  • 引入一种基于铁电场效应晶体管 (FeFET) 的基于内存计算 (CiM) 的新型炉.
  • 展示一种有效的方法来解决更大规模的COP.
  • 为了克服现有的COP解决硬件的局限性.

主要方法:

  • 将COP转换为二次式不受约束的二进制优化 (QUBO) 配方.
  • 使用一个三端FeFET结构进行in-situ向量-矩阵-向量 (VMV) 乘法加速.
  • 实施一个多时代模拟回火 (MESA) 算法,以实现高效的回火.
  • 在28nmHKMG CMOS技术FeFET芯片上进行实验验证.

主要成果:

  • 由于无损的QUBO矩阵压缩,在Max-Cut问题上节省了75%的芯片大小.
  • 与传统的模拟回火相比,MESA算法提供了高达27%的更好的解决方案,并加快了2倍的速度.
  • 在单个步骤中证明了VMV操作的有效现场加速.

结论:

  • 基于FeFET的CiM回器为一般COP提供了一种高效且可扩展的解决方案.
  • 这项技术在克服当前优化硬件的局限性方面显示出显著的前景.
  • 集成的FeFET芯片代表了复杂优化任务硬件加速的重大进步.