一种并行逻辑事件驱动仿真的联想记忆方法

D. Dalton
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引用次数: 0

摘要

提出了一种逻辑仿真的并行处理方法,称为apple,其中门计算和信号更新在关联存储器中并行执行,而不是在处理器中并行执行。这种方法不需要任何事件调度机制,并且可以建模各种逻辑门类型和延迟模型。在仿真器中,将这两个概念耦合在一起形成平行加速技术。第一个概念处理的是将一段时间内的线上的信号表示为位序列。通过将输入的位序列与预定的一系列位模式进行比较,可以将该序列表示纳入评估任何逻辑门的输出。许多位操作,如移位和比较,必须在各种逻辑元件的输入位序列上并行执行。第二个概念,具有字移位功能的联想存储器,实际上是这些位操作的硬件实现。因此,这些概念被呈现为一个抽象模型,然后是它的物理实现。在System-Hilo. b>中对苹果进行了行为和门级描述仿真
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An associative memory approach to parallel logic event-driven simulation
Presents a parallel processing approach to logic simulation, called APPLES, in which gate evaluations and signal updating are executed in parallel in associative memory, rather than in the processor. This approach does not require any event scheduling mechanism and can model various logic gate types and delay models. Two concepts are coupled together to form a parallel acceleration technique in the simulator. The first concept deals with representing signals on a line over a period of time as a bit-sequence. This sequence representation can be incorporated into evaluating the output of any logic gate, by comparing the bit-sequences of its inputs with a predetermined series of bit patterns. Numerous bit operations, such as shifting and comparing, must be performed in parallel on the input bit-sequences of various logic components. The second concept, that of an associative memory with word shift capabilities, is really a hardware implementation of these bit operations. Therefore, these concepts are presented as an abstract model followed by its physical realization. APPLES has been simulated at a behavioral and gate level description in System-Hilo.<>
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