基于向量演绎内存的故障地址模拟事务

W. Gharibi, A. Hahanova, V. Hahanov, S. Chumachenko, E. Litvinova, I. Hahanov
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引用次数: 2

摘要

其主要思想是创建无逻辑的矢量计算,只使用地址内存上的读写事务。其战略目标是利用光子在稳定的亚原子存储元件上进行读写事务,创建一种确定性的矢量量子计算。在矢量柔性解释故障建模与仿真技术中,主要任务是实现基于原语读写事务的矢量计算模型和方法,将数据作为处理数据本身的地址。矢量计算的本质是地址存储器中矢量数据结构的读写事务。向量计算是一种基于二进制向量单元的基本读写事务的计算过程,二进制向量存储在地址存储器中,并形成一种功能,其中要处理的输入数据是这些单元的地址。对于有序过程、现象、函数和结构的紧凑描述,矢量通用模型的优点是为了它们的并行分析而定义的。用元件和数字电路的输出状态向量取代需要复杂算法计算器的逻辑解析表达式,重点关注规则数据结构上寄存器逻辑过程的并行性。提出了一种用于传播故障输入列表(数据)的公式合成的矢量演绎方法,该方法具有二次型的寄存器运算复杂度。本文合成了一种新的演绎向量矩阵,该矩阵具有紧凑性、基于存储器中单个读写事务的并行数据处理、消除了故障仿真过程中的传统逻辑、其合成过程完全自动化、注重技术解决技术诊断中的所有问题等特点。在工作中,在计算组织中过渡到矢量逻辑,并消除了以表格和解析表达式形式表示的传统逻辑。在没有命令系统的情况下,在内存上使用读写事务将新的矢量逻辑计算集中在基于稳定亚原子存储粒子的确定性量子体系结构上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vector-deductive Memory-based Transactions for Fault-as-address Simulation
The main idea is to create logic-free vector computing, using only read-write transactions on address memory. The strategic goal is to create a deterministic vector-quantum computing using photons for read-write transactions on stable subatomic memory elements. The main task is to implement new vector computing models and methods based on primitive read-write transactions in vector flexible interpretive fault modeling and simulation technology, where data is used as addresses for processing the data itself. The essence of vector computing is read-write transactions on vector data structures in address memory. Vector computing is a computational process based on elementary read-write transactions over cells of binary vectors that are stored in address memory and form a functionality where the input data to be processed is the addresses of these cells. The advantages of a vector universal model for a compact description of ordered processes, phenomena, functions, and structures are defined for the purpose of their parallel analysis. Analytical expressions of logic, which require algorithmically complex calculators, are replaced by output state vectors of elements and digital circuits, focused on the parallelism of register logical procedures on regular data structures. A vector-deductive method for formula synthesis for propagating input lists (data) of faults is proposed, which has a quadratic computational complexity of register operations. A new matrix of deductive vectors has been synthesized, which is characterized by the following properties: compactness, parallel data processing based on a single read-write transaction in memory, elimination of traditional logic from fault simulation procedures, full automation of its synthesis process, and focus on technological solving all problems of technical diagnosis. In the work, the transition to vector logic in the organization of computing and the elimination of traditional logic presented in the form of tables and analytical expressions were carried out. The use of read-write transactions on memory in the absence of a command system focuses the new vector-logic computing towards deterministic quantum architectures based on stable subatomic memory particles.
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