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FUNCTIONAL METHOD OF UNIVERSAL CALCULATION BY EXTENDED PRODUCT OF FORMAL MATRIX

机译:乘积矩阵乘积进行通用计算的函数方法

摘要

The invention relates to central processing units (1) programmable by functional software devices (3) based on the sole concept of application, (6) to (10), without a set of instructions, the complex sequential decoding of which is opposes a parallelism independent of the software devices themselves (3), allowing, by the product (5) of binary matrices (2), a first so-called technical parallelism (24), autonomous and independent of functional algorithms, yet realizing the latter in parallel regardless of their initial description (3). The second parallelism, called applicative, constituted by binary hollow diagonal matrices (4) augmented by index (13) located inside the technical parallelism (2), simultaneously performs several tasks (4), always without instruction or planner of tasks. The device consists of an extended matrix product operation (24) on two sets of memory words, (13) to (16), representing two triangular matrices (2), such that one allows the result of the product of its opposite (extended to a square matrix) by itself and vice versa (2), according to three phases called application (A), expansion (E) and reduction (R). The results are expressed by the binary connections (24) defined by the product between the binary rows and columns. The software devices are vectors (17) of sequences of hollow binary diagonal matrices (4) extended with index words (13), for each dimension, referring to positions in the software device (17). The device according to the invention is particularly intended for intrinsic formal calculations (6), in computer science and in cognitive semantics.
机译:本发明涉及中央处理单元(1),其可以由功能软件设备(3)基于唯一的应用概念(6)至(10)进行编程,而无需一组指令,该指令的复杂顺序解码反对并行性独立于软件设备本身(3),通过二进制矩阵(2)的乘积(5)允许第一个所谓的技术并行性(24),它独立且独立于功能算法,但无论如何都并行实现后者最初的描述(3)。第二种并行性,称为可应用性,由位于技术并行性(2)内的由索引(13)增值的二进制空心对角矩阵(4)构成,同时执行多个任务(4),而始终没有任何指令或任务计划者。该设备包括对两组存储字(13)至(16)的扩展矩阵乘积运算(24),代表两个三角矩阵(2),因此一个允许其相反乘积的结果(扩展为方阵)本身,反之亦然(2),根据称为应用(A),展开(E)和缩小(R)的三个阶段。结果由二进制行和列之间乘积定义的二进制连接(24)表示。对于每个维度,软件设备是参考索引在软件设备(17)中的位置的空心二进制对角矩阵(4)的序列的向量(17),其中索引词(13)对其进行了扩展。根据本发明的设备尤其旨在用于计算机科学和认知语义中的固有形式计算(6)。

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