Hardware and software modelling and testing of non-conventional data-flow architecture

Shikunov, Yury; Khilko, Dmitry; Stepchenkov, Yury

doi:10.1109/eiconrusnw.2016.7448187

Cited by 6 publications

(1 citation statement)

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“…The output values in turn are sent to other instructions that need these values [25]. This apparently departed from traditional von Neumann control flow to attain maximal parallelism [23]. These two principles of parallelism advocated by data flow computer will be adapted to the design of the N-dimension computing machine.…”

Section: Function2mentioning

confidence: 99%

The N-Dimension Computing Machine Postulate

Sophatsathit

2020

IEEE Access

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This paper postulates a novel N-dimension computing machine that operates in an unconventional manner. This postulate aims at solving existing problems in higher dimensions , where one must rethink the scope of a given problem domain beyond the one-dimension Turing machine to dictate all subsequent problem representation, problem transformation, and algorithmic derivation. Two oversimplified well-known problems, namely, the Traveling Salesman Problem and the Tower of Hanoi problem are presented to demonstrate the point. Both synthetic problems are effectively adapted to solve a real world project. To realize the postulate in a viable architectural construct, data flow and molecular computers are investigated since they show potential computation power. Unfortunately, they are still confined to working in one-dimension domain. A biological-like architecture for software systems is proposed in three design aspects: structure, function, and behavior. Contributions of this work are to revamp traditional Turing computation paradigm to N-dimension computing machine, yet it is simple, straightforward, and implementable by state-of-the-practice hardware and software technologies. Thus, the burden of solving difficult problems can be lessened.

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Section: Function2mentioning

confidence: 99%